Cited by 544AI in cancer detectionArtificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

Artificial intelligence and computational pathology

Open access

Cui, Miao, Zhang, David Y.·2021·Laboratory Investigation

DOI 10.1038/s41374-020-00514-0PMC PMC7811340

Open this paper in CoChat — free account Open PDF

Abstract

Data processing and learning has become a spearhead for the advancement of medicine, with pathology and laboratory medicine has no exception. The incorporation of scientific research through clinical informatics, including genomics, proteomics, bioinformatics, and biostatistics, into clinical practice unlocks innovative approaches for patient care. Computational pathology is burgeoning subspecialty in pathology that promises a better-integrated solution to whole-slide images, multi-omics data, and clinical informatics. However, computational pathology faces several challenges, including the ability to integrate raw data from different sources, limitation of hardware processing capacity, and a lack of specific training programs, as well as issues on ethics and larger societal acceptable practices that are still solidifying. The establishment of the entire industry of computational pathology requires far-reaching changes of the three essential elements connecting patients and doctors: the local laboratory, the scan center, and the central cloud hub/portal for data processing and retrieval. Computational pathology, unlocked through information integration and advanced digital communication networks, has the potential to improve clinical workflow efficiency, diagnostic quality, and ultimately create personalized diagnosis and treatment plans for patients. This review describes clinical perspectives and discusses the statistical methods, clinical applications, potential obstacles, and future directions of computational pathology.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1038/s41374-020-00514-0

Cites

64 of 64 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Campanella, G., Hanna, M. G., Geneslaw, L., Miraflor, A., Werneck Krauss Silva, V., Busam, K. J., Brogi, E., Reuter, V. E., Klimstra, D. S., & Fuchs, T. J. (2019) · Nature Medicine · doi:10.1038/s41591-019-0508-1 · Cited by 2,799
Opportunities and obstacles for deep learning in biology and medicine
Ching, T., Himmelstein, D. S., Beaulieu-Jones, B. K., Kalinin, A. A., Do, B. T., Way, G. P., Ferrero, E., Agapow, P.-M., Zietz, M., Hoffman, M. M., et al. (2018) · Journal of The Royal Society Interface · doi:10.1098/rsif.2017.0387 · Cited by 2,310
Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology
Bera, K., Schalper, K. A., Rimm, D. L., Velcheti, V., & Madabhushi, A. (2019) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-019-0252-y · Cited by 1,698
Digital pathology and artificial intelligence
Niazi, M. K. K., Parwani, A. V., & Gurcan, M. N. (2019) · The Lancet Oncology · doi:10.1016/s1470-2045(19)30154-8 · Cited by 1,232
Image analysis and machine learning in digital pathology: challenges and opportunities
Madabhushi, A., & Lee, G. (2016) · Medical Image Analysis · doi:10.1016/j.media.2016.06.037 · Cited by 1,093
Predicting cancer outcomes from histology and genomics using convolutional networks
Mobadersany, P., Yousefi, S., Amgad, M., Gutman, D. A., Barnholtz-Sloan, J. S., Velázquez Vega, J. E., Brat, D. J., & Cooper, L. A. D. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1717139115 · Cited by 1,084
Deep Learning for Identifying Metastatic Breast CancerPreprint
Wang, D., Khosla, A., Gargeya, R., Irshad, H., & Beck, A. H. (2016) · arXiv.org · doi:10.48550/arxiv.1606.05718 · Cited by 1,028
Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images
Saltz, J., Gupta, R., Hou, L., Kurc, T., Singh, P., Nguyen, V., Samaras, D., Shroyer, K. R., Zhao, T., Batiste, R., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.03.086 · Cited by 1,027
Machine Learning Methods for Histopathological Image Analysis
Komura, D., & Ishikawa, S. (2018) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2018.01.001 · Cited by 937
Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification
Hou, L., Samaras, D., Kurç, T., Gao, Y., Davis, J., & Saltz, J. H. (2016) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2016.266 · Cited by 921

Show all 64 references

Sorted by citations

Items 401–500 of 542

Tedarik Zinciri Bakış Açısıyla Şirketlerin Yeşil Aklama ile Başa Çıkma Stratejileri
Sofyalıoğlu, Ç., & Kartal, B. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub398.c1661 · Cited by 1
Revolution Ethics of Data Science and AI
Meher, A. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-2964-1.ch015 · Cited by 1
Precision Medicine in Gastroenterology: A Paradigm Shift towards Personalized Therapies
Verma, A., & Awasthi, A. (2024) · The International Journal of Gastroenterology and Hepatology Diseases · doi:10.2174/0126662906299171240220073258 · Cited by 1
Artificial intelligence in diagnostic and predictive pathology
Frascarelli, C., Fusco, N., & Vago, G. G. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13671-9.00018-1 · Cited by 1
Digital and Computational Pathology Are Pathologists’ Physician Extenders
Schukow, C. P., & Allen, T. C. (2024) · Archives of Pathology & Laboratory Medicine · doi:10.5858/arpa.2023-0537-ed · Cited by 1
Efficient Training of Colorectal Cancer Diagnosis Model through Unsupervised Learning Composite Network
Mane, P. K. D. D. T. (2024) · Journal of Electrical Systems · doi:10.52783/jes.757 · Cited by 1
The Impact of Artificial Intelligence and Machine Learning in Medical Imaging
Amrita, A., Baniya, P., Agrawal, A., & Gupta, B. B. (2024) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-5261-8.ch014 · Cited by 1
A Revolution in Healthcare: AI-powered Cancer Imaging
Kumar, G., Verma, S., Malviya, R., Paliwal, S., & Narayan, C. V. (2024) · Current Cancer Therapy Reviews · doi:10.2174/0115733947304178240804182938 · Cited by 1
AI-Assisted High-Throughput Tissue Microarray Workflow
Kurowski, K., Timme, S., Föll, M. C., Backhaus, C., Holzner, P. A., Bengsch, B., Schilling, O., Werner, M., & Bronsert, P. (2024) · Methods and Protocols · doi:10.3390/mps7060096 · Cited by 1
Ultrasound Radiomics for Preoperative Prediction of Cervical Lymph Node Metastasis in Medullary Thyroid Carcinoma
Lü, Q., Zhu, X., Li, M., Zhan, W., & Feng, F. (2025) · British Journal of Hospital Medicine · doi:10.12968/hmed.2024.0376 · Cited by 1
Multiomics-Based Deep Learning Prediction of Prognosis and Therapeutic Response in Patients With Extensive-Stage Small Cell Lung Cancer Receiving Chemoimmunotherapy: A Retrospective Cohort Study
Nie, F., Pei, X., Du, J., Shi, W., Wang, J., Lu, F., & Liu, Y. (2025) · International Journal of General Medicine · doi:10.2147/ijgm.s506485 · Cited by 1
NormToRaw: A Style Transfer Based Self-supervised Learning Approach for Nuclei Segmentation
Chen, X., Zhong, X., Li, T., An, Y., & Mo, L. (2022) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn55064.2022.9892957 · Cited by 1
Retracted: Cross Department’s Elective Course Recommendation for University Students using Hybrid Filtering
Lestari, N. S., Renaldi, F., & Santikarama, I. (2022) · International Conference on Creative Communication and Innovative Technology (ICCIT) · doi:10.1109/iccit55355.2022.10119116 · Cited by 1
Retracted
Detection and Classification of Tumor Tissues in Colorectal Cancer Using Pathology Images
Ponnarasee, B. K., & Lalithamani, N. (2023) · Springer proceedings in mathematics & statistics · doi:10.1007/978-3-031-15175-0_30 · Cited by 1
Review of: "Tumor cell identification and classification in esophageal adenocarcinoma specimens by hyperspectral imaging"
Testa, U. (2022) · doi:10.32388/8gizv4
Accurate Diagnostic Tissue Segmentation and Concurrent Disease Subtyping with Small DatasetsPreprint
Frank, S. J. (2022) · Research Square · doi:10.21203/rs.3.rs-1777977/v1 · Cited by 1
Digital pathology incorporation in CPT codes: a gateway for expansion into clinical practice?Preprint
Cossio, M. (2022) · doi:10.33774/coe-2022-87dcw · Cited by 1
Accurate Diagnostic Tissue Segmentation and Concurrent Disease Subtyping with Small DatasetsPreprint
Frank, S. J. (2022) · Research Square · doi:10.21203/rs.3.rs-1777977/v2 · Cited by 1
General stain deconvolution of histopathology images with physics-guided deep learningPreprint
Chen, J., Liu, L., Han, W., Wang, D., Cheung, A., Tsui, H., & Martel, A. L. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.06.519385 · Cited by 1
Artificial Wisdom vs. Human Wisdom: A Potential QuestPreprint
Sharma, A., Kaman, S., & Banerjee, R. (2023) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/rnqg7 · Cited by 1
DFUCare: Deep learning platform for diabetic foot ulcer detection, analysis, and monitoringPreprint
Sendilraj, V., Pilcher, W., Choi, D., Bhasin, A., Bhadada, A., Bhadada, S. K., & Bhasin, M. (2023) · Research Square · doi:10.21203/rs.3.rs-3228873/v1 · Cited by 1
BioMedInformatics, the Link between Biomedical Informatics, Biology and Computational Medicine
de Brevern, A. G. (2023) · BioMedInformatics · doi:10.3390/biomedinformatics4010001 · Cited by 1
Morphology-Aware Profiling of Highly Multiplexed Tissue Images using Variational AutoencodersPreprint
Baker, G. J., Novikov, E., Coy, S., Chen, Y., Hug, C. B., Ahmed, Z., Cajas, S. A., Huang, S., Yapp, C., Joshi, G. N., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.23.661064 · Cited by 1
Digital Pathology in Latin AmericaPreprint
Rivello, H. G., Cancio, A. H., Monroy, A. M. V., Soares, F. A., García, F. D., Puyol, J. U., Schultz, M., Vivar, N., Zoroquiaín, P., & Soria-Céspedes, D. (2022) · Research Square · doi:10.21203/rs.3.rs-1374813/v1
Tissue Segmentation from Whole-Slide Images Using Lightweight Neural NetworksPreprint
Frank, S. J. (2022) · Research Square · doi:10.21203/rs.3.rs-122564/v4
Tissue Segmentation from Whole-Slide Images Using Lightweight Neural NetworksPreprint
Frank, S. J. (2022) · Research Square · doi:10.21203/rs.3.rs-122564/v3
Tissue Segmentation from Whole-Slide Images Using Lightweight Neural NetworksPreprint
Frank, S. J. (2021) · Research Square · doi:10.21203/rs.3.rs-122564/v2
Systematic Health Artificial Intelligence (SHAI) - A pathology based NLP model for improved predictive diagnostics in personalised medicinePreprint
Hussain, S. (2022) · Research Square · doi:10.21203/rs.3.rs-2049616/v1
AI Based Diagnosis & Classification Of Lymph Node Fine Needle Aspiration Cytology (FNAC)
Beriwal, M., & Avashia, S. (2022) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt54827.2022.9984542
Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images
Gao, Z., Mao, A., Wu, J., Li, Y., Wang, C., Ding, C., Gong, T., & Li, C. (2022) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm55620.2022.9995601
Automatic detection of microcalcifications in whole slide image - comparison of deep learning and standard computer vision approachesPreprint
Clavel, M., Sockeel, S., Sockeel, M., Miquel, C., Adam, J., Lantéri, E., & Pozin, N. (2023) · doi:10.36227/techrxiv.21981614
Künstliche Intelligenz in der Krebstherapie - Artificial Intelligence in Cancer Therapy
Kalweit, G., Kalweit, G., Mastroleo, I., Bödecker, J., & Mertelsmann, R. H. (2023) · Journal of Science Humanities and Arts - JOSHA · doi:10.17160/josha.10.2.875
Automatic detection of microcalcifications in whole slide image - comparison of deep learning and standard computer vision approachesPreprint
Clavel, M., Sockeel, S., Sockeel, M., Miquel, C., Adam, J., Lantéri, E., & Pozin, N. (2023) · doi:10.36227/techrxiv.21981614.v2
Challenges in Computational Pathology of Biomarker-Driven Predictive and Prognostic Immunotherapy
Pérez-Velázquez, J., Gölgeli, M., Guido, C. A. R., & Silva-Carmona, A. (2023) · Springer eBooks · doi:10.1007/978-3-030-80962-1_334-1
Quantitative Calculation in Medical Decision-Making and Human Persuasion: Decision Sciences, Big Data, Computer Decision Aids, Medical Calculators, and Artificial Intelligence
Velanovich, V. (2023) · Springer eBooks · doi:10.1007/978-3-031-30371-5_9
Reforming China's Secondary Vocational Medical Education: Adapting to the Challenges and Opportunities of the AI Era (Preprint)Preprint
Tong, W., Zeng, H., Pan, J., Gong, C., & Zhang, H. (2023) · doi:10.2196/preprints.48594
The Bioinformatic Analysis of Cancerous Cells
Yavagal, A., & Kethar, J. (2023) · Journal of Student Research · doi:10.47611/jsrhs.v12i2.4214
Aesthetic Research on Intelligent Automation Design Combined with Virtual Reality Under the Background of Green Environmental Protection
Sun, X., & Liu, X. (2023) · Atlantis highlights in social sciences, education and humanities/Atlantis Highlights in Social Sciences, Education and Humanities · doi:10.2991/978-94-6463-192-0_97
Design and implementation of push up action evaluation system based on Kinect
Long, J., Qian, T. H., Zhou, Y., & Ye, X. (2023) · International Conference on Information Science, Electrical and Automation Engineering (ISEAE) · doi:10.1117/12.2689585
Artificial intelligence in general practice: An interview with ChatGPT
Bannister, P. G., Cooper, M., & Sornalingam, S. (2023) · InnovAiT Education and inspiration for general practice · doi:10.1177/17557380231197546
New Artificial Intelligence System Based on Information Processing Technology
Tian, Z. (2023) · International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI) · doi:10.1109/icdacai59742.2023.00111
Sustainable Brand Management: A Forward-Looking Perspective in The Business World
Pir, E. Ö. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub398.c1664 · Cited by 1
Dijital Dönüşümde Haberleşme İnovasyonu
Gültaş, P., & Gültaş, M. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub398.c1666
Marka Bağımlılığı
Uzkesici, D. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub398.c1660
Dijitalleşme ve Pazarlama Araştırmaları
Yılmaz, E. S., Uzkesici, D., Sofyalıoğlu, Ç., Kartal, B., Aktaş, M., Çavuşoğlu, S., Atlı, H. F., Pir, E. Ö., Erdem, A., Gültaş, M., et al. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub398
Outlook for AI in Oral Surgery and Periodontics
Bayrakdar, S. K., Orhan, K., & Jagtap, R. (2023) · Springer eBooks · doi:10.1007/978-3-031-43827-1_7
Analysis of Intelligent Research and Development System of Power Communication Equipment Based on Artificial Intelligence Technology
Qin, W., Luo, P., Wang, K., Liu, Y., Luo, J., & Qin, H. (2023) · International Conference on Mobile Networks and Wireless Communications (ICMNWC) · doi:10.1109/icmnwc60182.2023.10435857
Concordância entre inteligência artificial e uropatologista expert na detecção e graduação histológica do câncer de próstata em espécimes de prostatectomia radical
Melo, P. A. D. S. (2023) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.5.2023.tde-01032024-164110
Artificial Intelligence in early detection of Adverse Drug Reaction for Anti-psychotic drugs
Alexander, C. R. (2023) · Journal of Student Research · doi:10.47611/jsrhs.v12i4.5728 · Cited by 1
Basic Principles of Pathology
Yanoff, M., & Sassani, J. W. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-87822-7.00001-8
Patologia digital e computacional: um panorama atual e perspectivas futuras
Dalmedico, M. M., de Carvalho, C. K. L., de Oliveira, P. P., Hembecker, P. K., Ávila, J. L. S., & Ioshii, S. O. (2024) · Contribuciones a las Ciencias Sociales · doi:10.55905/revconv.17n.4-103 · Cited by 1
Aspectos clínicos e contemporâneos da imersão da inteligência artificial associada ao diagnóstico por exames laboratoriais e imagens e seus positivos reflexos para promoção da saúde
Pereira, L. D. S., da Silva, G. R. B., Marinho, P. D. B., Alves, M. M., Lopes, J. C. P., Rozeir, C. F. B., de Oliveira, M. V. G., Melo, J., Souza, E. D. S. M., de Melo, T. S., et al. (2024) · DELOS Desarrollo Local Sostenible · doi:10.55905/rdelosv17.n54-017
Construction of Neural Network Model for Exercise Load Monitoring and Rehabilitation Therapy under Intelligent Medical Information Fusion Algorithm
Wang, W., Yin, G., & Wang, J. (2024) · International Conference on Integrated Circuits and Communication Systems (ICICACS) · doi:10.1109/icicacs60521.2024.10498284
General Internal Medicine VI
Torun, C., Cüre, O., Cengiz, K., İlkkılıç, K., Algün, E., Donma, M. M., Tuncer, S. Ç., Altan, N., Dinçel, A. S., Kosava, F., et al. (2024) · Akademisyen Kitabevi eBooks · doi:10.37609/akya.3053
Digital Technology Ecotone to Revolutionize Health SectorPreprint
Coccia, M. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4852168
Accurate diagnosis achieved via super-resolution whole slide images by pathologists and artificial intelligencePreprint
Wang, K., Liu, R., Chen, Y., Wang, Y., Gao, Y., Qiu, Y., Zhou, M., Bai, B., Zhang, M., Sun, K., et al. (2024) · medRxiv · doi:10.1101/2024.07.05.24310022
Exploit Spatially Resolved Transcriptomic Data to Infer Cellular Features from Pathology Imaging DataPreprint
Sui, Z., Li, Z., & Sun, W. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.05.606654
Application of Artificial Intelligence Technology in Intelligent Environment Design System
Liu, S., & Huang, J. (2024) · 2024 3rd International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS) · doi:10.1109/aiars63200.2024.00176
Artificial Intelligence and Automated Operation and Maintenance Technology in Wireless Network Power Systems
Xu, X., & Wei, J. (2024) · International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS) · doi:10.1109/iacis61494.2024.10721787
Artificial intelligence-based cell identification for immunohistochemistry analysis: Current state and future prospects
Noman, O., Tiwade, Y. R., & Desai, S. (2024) · AIP conference proceedings · doi:10.1063/5.0240285
Intelligent Connected Vehicle Information Security Detection System Based on Artificial Intelligence
Liu, D., Cheng, X., Zhang, Z., Liu, Z., & Ma, Y. (2025) · Sustainable civil infrastructures · doi:10.1007/978-3-031-72509-8_28
Ethical Challenges And Future Implications Of Artificial Intelligence In Society 5.0Preprint
Patil, D. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5057398
Pathology in Mechanical Circulatory Support
Buja, L. M., Segura, A., McDonald, M. M., Vela, D. C., Giulia Ottaviani, M., & Zhao, B. (2024) · Springer eBooks · doi:10.1007/978-3-031-74963-6_30
Virtual Reality Human-Computer Interaction System Based on Artificial Intelligence Technology
Li, J., Xiong, G., & Wu, X. (2025) · Lecture notes in electrical engineering · doi:10.1007/978-981-96-2391-4_13
Classification of Megakaryocytes in the Bone Marrow of Rats with Deep Learning
Kang, J. S. (2025) · Journal of Experimental & Biomedical Sciences/Biomedical Science Letters · doi:10.15616/bsl.2025.31.1.33
The Intersection of Pathological Analysis and Biology: Advances in Diagnosis and Biotechnology
Saleh, M. M. H., Abdullah, O. T. A., Alhussein, F. S. S. A., yousif, A. Y., & Shaaban, M. A. A. H. (2025) · Bright Sky Publications eBooks · doi:10.62906/bs.book.301
Intelligent Information Teaching Method and Its Influence on Instrumental Music Teaching
Tian, J. (2025) · International Journal of Web-Based Learning and Teaching Technologies · doi:10.4018/ijwltt.372677
ARTIFICIAL INTELLIGENCE ITS ROLE IN CLINICAL PRACTICE
Sohail, N. (2024) · Pakistan Postgraduate Medical Journal · doi:10.51642/ppmj.v35i03.729
Corr-A-Net: Interpretable Attention-Based Correlated Feature Learning framework for predicting of HER2 Score in Breast Cancer from H&E ImagesPreprint
Dutta, K., Pal, D., Li, S., Shyam, C., & Shoghi, K. I. (2025) · medRxiv · doi:10.1101/2025.04.22.25326227
Innovative health technology assessment tools
Soofiyan, S. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-15609-0.00005-2
Explainable computational intelligence in bio and clinical medicine
Sundari, M. S., & Penthala, H. R. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-23979-3.00003-8
Pathological Analysis and Applied Sciences: Bridging Theory and Practice
Abbas, A. W. H., Ali, Y. A. T., Khadir, H. M. A., Yousif, Y. M., Abd, N. L., & Muscat, M. A. A. A. (2025) · Bright Sky Publications eBooks · doi:10.62906/bs.book.362 · Cited by 1
INTELIGENCIA ARTIFICIAL EN ANATOMÍA PATOLÓGICA: IMPLICACIONES PARA LA EFICIENCIA Y CALIDAD EN LA GESTIÓN HOSPITALARIA.
Buele, S. A. C., & Lee, Á. J. C. (2025) · International Journal of Health Science · doi:10.22533/at.ed.1595222516059
Need for Survival in “Genomic Market Economy”: Attracting Foreign Investments and Saving Country’s Economy By Adapting Molecular Pathology Diagnosti in Pakistan
Khan, S. H., & Khan, M. Q. A. (2025) · Pakistan Armed Forces Medical Journal · doi:10.51253/pafmj.v75isuppl-4.12431
TPA ‐Seg: Multi‐Class Nucleus Segmentation Using Text Prompts and Cross‐Attention
Liang, Y., Lin, S., Wang, Z., Yang, L., Jin, Y., & Ji, Y. (2025) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.70125
Step-by-Step Approach to Design Image Classifiers in AI: An Exemplary Application of the CNN Architecture for Breast Cancer Diagnosis
Lohani, A., Mishra, B. K., Wertheim, K. Y., & Fagbola, T. M. (2026) · Artificial Intelligence and Applications · doi:10.47852/bonviewaia52025938
BiCa-MIL: Bidirectional Co-adaption Multiple Instance Learning for Enhanced Whole Slide Image AnalysisPreprint
Zhao, E., & Li, Y. (2025) · doi:10.36227/techrxiv.175355298.85276672/v1
Artificial intelligence for cancer care 4.0/5.0
Stanciu, A., & Paraschiv, E. A. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33984-4.00007-9
Machine Learning-Based Analysis of Factors Influencing the Incidence of Heart Disease in Health Conditions
Lan, T. (2025) · IEEE International Conference on Image Processing and Computer Applications (ICIPCA) · doi:10.1109/icipca65645.2025.11138686
Introduction to Ocular Pathology
Vemuganti, G. K. (2025) · Springer eBooks · doi:10.1007/978-981-96-8614-8_1
Theranostics and artificial intelligence as tools to detect various cancers
Ghode, P., Sharma, M., Maheshwari, R., & Jain, S. K. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-34199-1.00015-6 · Cited by 1
Revolutionizing Cancer Care: The Role of Artificial Intelligence in Diagnosis, Prognosis, and Personalized Medicine
Kharchenko, A., & Balabai, A. A. (2025) · Ukrainian Scientific Medical Youth Journal · doi:10.32345/usmyj.3(157).2025.72-81
Managing big data for TNBC research
Kothawade, S. N., Bole, S. S., Patil, P. B., Suryawanshi, J. S., & Pande, V. V. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33565-5.00013-x
Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design
Sharma, V., Alagha, A., Khellaf, A., Trinh, V. Q., & Hosseini, M. S. (2025) · Communications in computer and information science · doi:10.1007/978-3-032-04339-9_17
Detection of Gynecological and Andrological Cancers Using AI: A Review
Dutta, A., Saha, P., & Dutta, A. (2025) · Communications in computer and information science · doi:10.1007/978-3-032-09153-6_2
Integrating Deep Learning and Swarm Intelligence for Cancer Diagnosis
Dohare, S., Raju, S. S. H., Mustare, N., & Singh, P. P. (2025) · International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS) · doi:10.1109/iccams65118.2025.11234540
Uso de la inteligencia artificial en el diagnóstico de alteraciones de la citología cervicouterina: estudio observacional en población universitaria
Manzano-Chaya, J. S., Herrera, T. M., & Ayala, E. (2025) · Biomédica · doi:10.7705/biomedica.7651
Additional file 1 of Weakly-supervised deep learning models enable HER2-low prediction from H &E stained slides
Valieris, R., Martins, L. V. C., Defelicibus, A., Bueno, A. P., de Toledo Osorio, C. A. B., Carraro, D. M., Dias-Neto, E., Rosales, R., de Figueiredo, J. M. B., & da Silva, I. T. (2024) · Figshare · doi:10.6084/m9.figshare.26785956
Challenges in Integration of Computational Approaches with Clinical Practice
Kumari, M., & Nema, S. (2025) · Springer eBooks · doi:10.1007/978-981-96-9346-7_14
ADPv2: A hierarchical histological tissue type-annotated dataset for potential biomarker discovery of colorectal disease
Yang, Z., Li, K., Ramandi, S. G., Brassard, P., Khellaf, A., Trinh, V. Q., Zhang, J., Chen, L., Rowsell, C. H., Varma, S., et al. (2025) · Journal of Pathology Informatics · doi:10.1016/j.jpi.2025.100537 · Cited by 1
Transforming Preventive Medicine Through Artificial Intelligence
Singh, R., & Marwaha, L. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-3196-6.ch011
Machine Learning Algorithms for Medical Imaging
Shah, V., & Ponniah, H. S. (2026) · Biomedical visualization · doi:10.1007/978-3-032-06520-9_2
Automatisierung und Digitalisierung im histologischen Labor
Lang, G. (2025) · Springer eBooks · doi:10.1007/978-3-662-71093-7_16
Search and Retrieval in Dermatology Atlases of Histopathology Images for Risk Stratification of Cutaneous Squamous Cell CarcinomaPreprint
Alabtah, G., Alsaafin, A., Alfasly, S., Shafique, A., Hemati, S., Choudhary, A., Iyer, R. K., DiCaudo, D. J., Nelson, S. A., Stockard, A. L., et al. (2026) · medRxiv · doi:10.64898/2026.01.02.26343356
Spatial Multi-Omics in Cardiovascular Diseases
Arumugam, V. A., Ebenezar, K. K., Mani, M., Kadhirvel, M., Marudhachalam, K., Maria, J. B., Akilandeswari, G., & Shanmugam, V. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-4849-0.ch008
DLiPath: A Benchmark for the Comprehensive Assessment of Donor Liver Based on Histopathological Image Dataset
Pan, L., Li, X., Chen, Z., Nie, C., Chu, L., & Peng, S. (2025) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm66473.2025.11356372
Occam’s Razor in AI-assisted Complex Diagnosis: A Comparative Effectiveness Study of Single Large Language Models Versus Multi-Agent Systems in Resource-Constrained Primary Care SettingsPreprint
Cai, T., Zhang, N., Li, Y., Li, X., Li, X., & Liu, B. (2026) · Research Square · doi:10.21203/rs.3.rs-10586813/v1
HistoPAG‑Net: a multiscale position‑aware GNN for weakly supervised histopathology analysis
Rahman, T., Tarkhan, A., Chellappa, R., & Baras, A. S. (2026) · SPIE Medical Imaging: Digital and Computational Pathology · doi:10.1117/12.3087003
Does machine learning risk reinforcing societal prejudice in education?
Sujoldzic-Lambert, Z., & Lambert, S. (2025) · Forum for education studies. · doi:10.59400/fes2148
Polarimetric imaging of collagen in histopathology specimens: an investigation of congo red and picrosirius red-stained placenta and skin
Mappa, G., Miklavc, P., Cummings, M., Oliver, R., Pyrah, H., Freer, C., Alzahrani, H. A., Shen, T. H., & Orsi, N. M. (2026) · Scientific Reports · doi:10.1038/s41598-026-37711-8

Authors: Cui, M., & Zhang, D. Y.
Affiliations: St. Luke's-Roosevelt Hospital Center (US)
Veterans Health Administration (US)
Corresponding author: Zhang, David Y.
ORCID: Cui, Miao
Zhang, David Y.
Venue: Laboratory Investigation
Publisher: Elsevier BV
Published: 2021-04
Volume: 101
Issue: 4
Pages: 412-422
ISSN: 0023-6837 (ISSN-L)
DOI: 10.1038/s41374-020-00514-0
PMC: PMC7811340
OpenAlex: W3121943121
Cited by: 544
References: 64
Citations by year: 2026: 68 · 2025: 103 · 2024: 126 · 2023: 127 · 2022: 97 · 2021: 23
FWCI: 6.74
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 650 d)
Locations: Laboratory Investigation (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
Keywords: computational pathology, artificial intelligence in pathology, whole slide images, multi-omics integration, clinical informatics, cloud processing, clinical workflow efficiency, personalized diagnosis, AI ethics
MeSH terms: Artificial Intelligence, Humans, Medical Informatics, Pathology, Clinical, Statistics as Topic, Computational Biology

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Artificial intelligence and computational pathology

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks