Digital pathology and artificial intelligence in translational medicine and clinical practice

Cited by (593)

Items 301–400 of 593

1. Application of Digital Analysis for Assessment of Coronary Sub-Occlusions in Autopsy Pathology: It Is Time to Move beyond Histology Alone
   Giuseppe D’Abbronzo, Renato Franco, Cecilia Salzillo, Carlo Pietro Campobasso, Maurizio Municinò, Alessandro Feola, Andrea Ronchi · 2024 · Diagnostics
2. Deep learning application in prediction of cancer molecular alterations based on pathological images: a bibliographic analysis via CiteSpace
   Yu Xiaojian, Qu Zhanbo, Jian Chu, Zefeng Wang, Jian Liu, Jin Liu, Yuefen Pan, Shuwen Han · 2024 · Journal of Cancer Research and Clinical Oncology
3. HistoSPACE: Histology-inspired spatial transcriptome prediction and characterization engine
   Shivam Kumar, Samrat Chatterjee · 2024 · Methods
4. A Novel Dielectric Fingerprinting Tool for Histopathology Assessment Leveraging AI and RF: A Feasibility Study Using Gastrointestinal Tissues
   Sunil Gaddam, Poulami Samaddar, Keerthy Gopalakrishnan, Mansunderbir Singh, Priyanka Anvekar, Suganti Shivaram, Shuvashis Dey, Sayan Kumar Roy, Dipankar Mitra, Shivaram P. Arunachalam · 2025 · IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology
5. Artificial intelligence driven real-time digital oral microscopy for early detection of oral cancer and potentially malignant disorders
   Simon A. Fox, Camile Selim Farah · 2025 · Exploration of Digital Health Technologies
6. Reduced SARS-CoV-2 disease outcomes in Syrian hamsters receiving immune sera: Quantitative image analysis in pathologic assessments
   César Piedra-Mora, Sally R. Robinson, Lisa H. Tostanoski, Denise Dayao, Abishek Chandrashekar, Katherine Bauer, Linda M. Wrijil, Sarah Ducat, Tammy Hayes, Jingyou Yu et al. · 2022 · Veterinary Pathology
7. Image Segmentation for Colorectal cancer histopathological images analysis
   Meng-Ling Wu, Jui-Hung Chang, Pau‐Choo Chung · 2022 · IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE)
8. Multi-Artifact Detection and Filtering in Digital Pathology Using Intrinsic Image Properties
   Varun Kanwar, Addie Woicik, Benjamin Dulken, Christopher S. Probert, Zachary Ryan McCaw · 2024 · IEEE International Symposium on Biomedical Imaging (ISBI)
9. The tumour histopathology “glossary” for AI developers
   Soham Mandal, Ann‐Marie Baker, Trevor A. Graham, Konstantin Bräutigam · 2025 · PLoS Computational Biology
10. Digital Pathology as an Innovative Tool for Improving Cancer Diagnosis and Treatment
    Taras Zadvornyi · 2025 · Experimental Oncology
11. AI Convergence in Drug Development and Recent Applications: A Review
    Alok Kumar Upadhyay, Nisha Kumari, Nidhi Gupta, Sachin Kumar · 2025 · Research Journal of Pharmaceutical Dosage Forms and Technology
12. Artificial intelligence & nuclear medicine: an emerging partnership
    Luigi Manco, Klarisa Elena Szilagyi, Luca Urso · 2025 · Clinical and Translational Imaging
13. Pathologists' user experience in the era of digital pathology: a KAP study in a region of emerging digitization
    Maher A. Sughayer, Lina Souan, Joud S Tadros · 2025 · Frontiers in Digital Health
14. AI-driven strategies for advancing corneal cell therapy: a promising frontier
    Mahsa Fallah Tafti, Masoud Khorrami‐Nejad, Masoud Arabfard, Mohsen Ghiasi, Fatemeh Afkhamizadeh, Khosrow Jadidi, Hossein Aghamollaei · 2025 · Frontiers in Medicine
15. SlideInspect : From Pixel‐Level Artifact Detection to Actionable Quality Metrics in Digital Pathology
    Manuela Scotto, Roberta Patti, Vincenzo L'Imperio, Filippo Fraggetta, Filippo Molinari, Massimo Salvi · 2026 · International Journal of Imaging Systems and Technology
16. Integrating Artificial Intelligence into Breast Cancer Histopathology: Toward Improved Diagnosis and Prognosis
    Gavino Faa, Eleonora Lai, Flaviana Cau, Ferdinando Coghe, Massimo Rugge, Jasjit S. Suri, Claudia Codipietro, Benedetta Congiu, Simona Graziano, Ekta Tiwari et al. · 2026 · Cancers
17. How artificial intelligence may solve diagnostic and prognostic challenges in classic Hodgkin lymphoma
    Mohamed Nazem Alibrahim, Annunziata Gloghini, Antonino Carbone · 2026 · Blood Reviews
18. Artificial intelligence and the evolution of pathology: Scaling from digital diagnostics to multimodal precision medicine
    Chien Dinh Huynh · 2026 · Intelligence-Based Medicine
19. Deep Learning-Based Assessment of Histological Grading in Breast Cancer Whole Slide Images
    María Jesús García-González, Karen López‐Linares, Esther Albertín Marco, Iván Lalaguna, Javier García Navas, Maria Blanca Cimadevila Álvarez, Ana Calvo Pérez, Valery Naranjo · 2023 · Smart innovation, systems and technologies
20. AI Powered Identification of Drug Targets and Pathways for Diagnosis and Treatment Planning: A Review
    Anshul Sharma · 2023 · Nanomedicine & Nanotechnology Open Access
21. Computational Intelligence Methods for Biomarkers Discovery in Autoimmune Diseases: Case Studies
    Nagmi Bano, Iqra Sajid, Syed Akramah Ahmad Faizi, Awelani Mutshembele, Debmalya Barh, Khalid Raza · 2024 · Studies in computational intelligence
22. An analysis on efficacy of applying β‐elemene intervention on chemically ‐induced tongue lesions using SAM algorithm
    Feng Liu, Qinlong Zhang, Weijie Zhang, Deqiang Cheng, Feng Zhang, Yating Deng, Guanzhen Yu · 2024 · Anatomia Histologia Embryologia
23. Characterization of Vitronectin Effect in 3D Ewing Sarcoma Models: A Digital Microscopic Analysis of Two Cell Lines
    Amparo López-Carrasco, Karina Parra-Haro, Isaac Vieco-Martí, Sofía Granados-Aparici, Juan Díaz‐Martín, Carmen Salguero‐Aranda, Delia Acevedo-León, Enrique de Álava, Samuel Navarro, Rosa Noguera · 2024 · Cancers
24. A multicenter study to evaluate the analytical precision by pathologists using the Aperio GT 450 DX
    Thomas W. Bauer, Matthew G. Hanna, Kelly D. Smith, Sahussapont Joseph Sirintrapun, Meera Hameed, Deepti Reddi, Bernard S. Chang, Orly Ardon, Xiaozhi Zhou, Jenny V. Lewis et al. · 2024 · Journal of Pathology Informatics
25. Future prospects of deep learning in esophageal cancer diagnosis and clinical decision support (Review)
    Aiting Lin, Lirong Song, Ying Wang, Kai Yan, Hua Tang · 2025 · Oncology Letters
26. Artificial intelligence: A transformative role in clinical laboratory
    Sunny Chopra · 2025 · Journal of Laboratory Physicians
27. Diagnosis of clear cell renal cell carcinoma via a deep learning model with whole-slide images
    Weixing Jiang, Siyu Qi, Cancan Chen, Wenying Wang, Xi Chen · 2025 · Therapeutic Advances in Urology
28. Reframing Cancer as an Immunological Disorder Through Personalized Nutrition and AI Integration
    Joyeta Ghosh, Asmita Roy · 2025 · Advances in computational intelligence and robotics book series
29. Development of Privacy-preserving Deep Learning Model with Homomorphic Encryption: A Technical Feasibility Study in Kidney CT Imaging
    Sangwook Lee, Jong‐Min Choi, Min-Je Park, Hajin Kim, Soo‐Heang Eo, Garam Lee, Sulgi Kim, Jungyo Suh · 2025 · Radiology Artificial Intelligence
30. Multi-modal characterization of metabolic and immune gene clusters in adrenocortical carcinoma treatment
    Wenjun Hao, Luhan Yao, Yanlong Wang, Jiayu Wan, Yuyan Zhu, Zhihong Dai, Xu Sun, Bo Fan, Yu‐Chao Wang, Hao Xiang et al. · 2025 · npj Precision Oncology
31. Advances in Hereditary Colorectal Cancer: How Precision Medicine Is Changing the Game
    Shenghao Lin, Chunju Zhou, Han Chen, Xinlei Zhou, Hujia Yang, Leitao Sun, Leyin Zhang, Yuxin Zhang · 2025 · Cancers
32. Oral biosciences: The annual review 2022
    Hayato Ohshima, Kenji Mishima · 2023 · Journal of Oral Biosciences
33. Artificial Intelligence and Machine Learning in Integrated Diagnostic
    Lisa Milan · 2023 · Springer eBooks
34. Assessing Knowledge, Acceptance, and Anticipated Impact of Telepathology in Saudi Arabia: Insights From Healthcare Workers and Patients
    Khaldoon Aljerian, Amira Alrashedi, Reem Alkulaibi, Razan Ibrahim Alsuwailem, Alhanouf Alshahrani, Ftoon Maedh Alzahrani, Norah Alqazlan, Mohamad-Hani A. Temsah · 2023 · Cureus
35. Investigation of latent representation of toxicopathological images extracted by CNN model for understanding compound properties in vivo
    Shotaro Maedera, Tadahaya Mizuno, Hiroyuki Kusuhara · 2023 · Computers in Biology and Medicine
36. Applications of Artificial Intelligence in Lung Pathology
    Douglas J. Hartman · 2023 · Surgical pathology clinics
37. Semi-Supervised, Attention-Based Deep Learning for Predicting TMPRSS2:ERG Fusion Status in Prostate Cancer Using Whole Slide Images
    Mohamed Omar, Zhuoran Xu, Sophie B. Rand, Mohammad K. Alexanderani, Daniela Correia Salles, Itzel Valencia, Edward Matthew Schaeffer, Brian D. Robinson, Tamara Levin Lotan, Massimo F. Loda et al. · 2024 · Molecular Cancer Research
38. Artificial intelligence in cancer research and precision medicine
    Chiara Corti, Marisa Cobanaj, Carmen Criscitiello, Giuseppe Curigliano · 2024 · Elsevier eBooks
39. Noninvasive Assessment of hiPSC Differentiation toward Cardiomyocytes Using Pretrained Convolutional Neural Networks and the Channel Pruning Algorithm
    Yujie Duan, Kaitong He, Wei Lan, Yuli Luo, Hao Fan, Peiran Lin, Wenlong Wang, Yadong Tang · 2024 · ACS Biomaterials Science & Engineering
40. Classification of the Tumor Immune Microenvironment Using Machine-Learning-Based CD8 Immunophenotyping As a Potential Biomarker for Immunotherapy and TGF-β Blockade in Nonsmall Cell Lung Cancer
    Robert J. Pomponio, Hong Wang, Sarah Mitchell Bean, Qi Tang, Roger Trullo, Joon Sang Lee, Brigitte Demers, Archit Khosla, Adam Stanford-Moore, Maria Guramare et al. · 2024 · AI in Precision Oncology
41. Analyzing sex imbalance in EGA and dbGaP biological databases: Recommendations for better practices
    Victoria Ruiz‐Serra, Nataly Buslón, Olivier R. Philippe, Diego Saby, M. P. Morales, Camila Ferreira Thé Pontes, Alejandro Andirkó, Gemma L. Holliday, Aina Jené, Mauricio Moldes et al. · 2024 · iScience
42. Digital transition in pathology lab: a survey from the Lombardy region
    Elisa Belloni, Emanuela Bonoldi, Giorgio Bovo, Sabrina Buoro, Michele Cerati, Fulvia Milena Cribiù, Emanuele Dainese, Alessandro DEL GOBBO, Mattia Facchetti, Andrea Gianatti et al. · 2024 · Pathologica
43. Exploring Domain Generalization in Semantic Segmentation for Digital Histopathology: A Comparative Evaluation of Deep Learning Models
    Ruochen Liu, Hongyan Xiao, Yuyao Wang, Minghao Zhang, Biwen Meng, Xi Long, Jingxin Liu · 2024 · International Conference on Biomedical Signal and Image Processing (ICBIP)
44. RMD-Net: A Deep Learning Framework for Automated IHC Scoring of Lung Cancer IL-24
    Zihao He, Dongyao Jia, Yinan Shi, Ziqi Li, Nengkai Wu, Feng Zeng · 2025 · Mathematics
45. Use of quality checks and processes across digital histopathology: an initial survey from the Bigpicture consortium
    Hayley Pye, David S Brettle, Caitríona Lyons, Fauve Versaevel, Erio Barale-Thomas, Kurt Zatloukal, Darren E. Treanor · 2025 · Journal of Clinical Pathology
46. Four tumor micro-environmental niches explain a continuum of inter-patient variation in the macroscopic cellular composition of breast tumors
    Anissa El Marrahi, Fabio Lipreri, David M. Alber, Jean Hausser · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
47. The future of computational pathology: expectations regarding the anticipated role of artificial intelligence in pathology by 2030
    Manuel Alvaro Berbis, David S. McClintock, Andrey Bychkov, Jerome Cheng, Brett Delahunt, Lars Egevad, Catarina Eloy, Alton B. Farris, Filippo Fraggetta, Raimundo García del Moral et al. · 2022 · medRxiv
48. Report of the AI Pathology Task Force, Non-clinical Evaluation Expert Committee, Japan Pharmaceutical Manufacturers Association: an overview of recent publications about AI pathology
    Emi Tomikawa, Satoshi Sakai, Yoshinori Yamagiwa, Yumi Kangawa, Yusuke Kagawa, Yuki Kato, Kensuke Kojima, Akira Inomata, I. Matsumoto, Gen Sato et al. · 2025 · Journal of Toxicologic Pathology
49. Dual-Signal Probing of Molecular Subtypes of Breast Cancer: Synergistic Chirality and Charge-Transfer Effect Enable Enhanced Accuracy
    Xiaomei Mo, Huacheng Li, Xiang Zhong, Meng Li, Menghui Jia, Hongwei Wu, Xiaoran Li, Tao Yi, Chunyan Li, Xiang Lan · 2025 · Analytical Chemistry
50. Big Data–Driven Health Portraits for Personalized Management in Noncommunicable Diseases: Scoping Review
    Haoyang Du, Jianing Yu, Dandan Chen, Jingjie Wu, Erxu Xue, Yufeng Zhou, Xiaohua Pan, Jing Shao, Zhihong Ye · 2025 · Journal of Medical Internet Research
51. Artificial Intelligence in the Management of Hereditary and Acquired Hemophilia: From Genomics to Treatment Optimization
    Laura Giordano, Antonio Pagana, Paola Lucia Minciullo, Manlio Fazio, Fabio Stagno, Sebastiano Gangemi, Sara Genovese, Alessandro Allegra · 2025 · International Journal of Molecular Sciences
52. AI-based virtual immunocytochemistry for rapid and robust fine needle aspiration biopsy diagnosis
    Irfan Ahmed, Wei Zhang, Pikting Cheung, Vardhan Basnet, Zulfiqar Ali, May P. Y. Tse, Fraser Hill, Tom Tak Lam Chan, Haibo Hu, Xinyue Li et al. · 2025 · Diagnostic Pathology
53. GrEp: Graph-based epithelial cell classification refinement in histopathology H&E images
    Ana Leni Frei, Javier García-Baroja, Tilman T. Rau, Christina Neppl, Alessandro Lugli, Wiebke Solaß, Martin Wartenberg, Andreas Fischer, Inti Zlobec · 2025 · Pattern Recognition
54. 3D spatial sampling to quantify morphologic heterogeneity in isocitrate dehydrogenase-wildtype glioblastoma
    Viva Voong, Sol Beccari, Elaheh Hashemi, Birgit Kriener, Radhika Mathur, Marisa Lafontaine, Anny Shai, Janine Lupo, Edward F. Chang, Shawn L. Hervey‐Jumper et al. · 2025 · Journal of Neuropathology & Experimental Neurology
55. Clinician Perspectives on Digital and Computational Pathology: Clinical Benefits, Concerns, and Willingness to Adopt
    Charu Aggarwal, Aakash P. Desai, Nicholas McConnell, Nicholas A. Cadirov, Gary George Gustavsen, Arushi Agarwal, Nabil H. Chehab, Srividya Kotapati, Nikunj Ramanikbhai Patel · 2025 · Diagnostics
56. Pathologist-Artificial Intelligence Concordance in HER2 Interpretation for Advanced Biliary Tract Cancer: Intraobserver, Interobserver, and Human-Artificial Intelligence Variability
    Hyunchul Kim, Jin Hyung Heo, Soo Ick Cho, Beodeul Kang, Jung Sun Kim, Chan Kim, Chang‐Il Kwon, Min Je Sung, Seok-Pyo Shin, Seok Jeong Yang et al. · 2025 · Laboratory Investigation
57. Shortage of Pathologists: a candid narrative
    Massimo C.P. Barberis · 2025 · Pathologica
58. Artificial Intelligence and Machine Learning in Health Care
    David Liebovitz, Allan Y. Wu, Courtney Bryce Reamer, Brian Vadasz · 2025 · Medical Clinics of North America
59. Multimodal dynamic fusion framework for survival prediction in clear cell renal cell carcinoma
    Bangkang Fu, Wuchao Li, Junjie He, Zi Xu, Yunsong Peng, Zhen Liu, Yan Zhang, Pinhao Li, Ping Huang, Rongpin Wang · 2026 · Information Fusion
60. Automated Nuclei Segmentation in PR-IHC Breast Cancer Images Using the Cellpose Deep Learning Model
    Hasanul Bannah, Mohammad Faizal Ahmad Fauzi, Sarina Binti Mansor, Md. Shoukhin Khan, Wan Siti Halimatul, Munirah Wan Ahmad, Md Serajun Nabi, Seow-Fan Chiew, Phaik‐Leng Cheah, Lai‐Meng Looi · 2025 · IEEE Region 10 Conference (TENCON)
61. Integrating AI into clinical practice: Human-centered design requirements for next-generation sequencing workflows
    Markus Plass, Andreas Holzinger, Robert Reihs, Heimo Müller · 2026 · Computerized Medical Imaging and Graphics
62. Mapping the Digital Mind: A Meta-Analysis of EEG Biomarkers in Cognition, Emotion, and Mental Health
    Constantinos Halkiopoulos, Evgenia Gkintoni, Basilis Boutsinas · 2026 · Brain Sciences
63. Artificial intelligence in cancer diagnostics: a primer for clinicians and scientists
    Asif M Rizwan, Hala R. Makhlouf, Sanita Bharti, Sumana M Dey, Miguel R. Ossandon, Claire E Robustelli, Mugdha Samant, Ana I. Robles, Brian S. Sorg, Lyndsay N. Harris · 2026 · JNCI Journal of the National Cancer Institute
64. AI-Based Digital Pathology-Enabled Spatial-Omics Data Analyses of the Human Kidney
    Naina Beishembieva, Brittney L. Gorman, Anindya S. Paul, Marija Veličković, Dušan Veličković, Geremy C. Clair, Kumar Sharma, Pinaki Sarder, Christopher Anderton, the Kidney Precision Medicine Project · 2026 · Journal of Proteome Research
65. Artificial Intelligence and Machine Learning solutions-based oral cancer screening and detection: A scoping review
    Hanif Abdul Rahman, Amirul Ariffin Noraidi, Jagjit Singh Dhaliwal · 2026 · Artificial Intelligence in Medicine
66. Review of the potential benefits and challenges of artificial intelligence in clinical laboratory
    Yugeshwari R. Tiwade, Nandkishor Jageshwar Bankar, Vaishnavi Himanshu Mishra, Anita Sajjanar · 2024 · Journal of Cellular Biotechnology
67. Democratizing Artificial Intelligence in Anatomic Pathology
    Thomas James Flotte, Stephanie A. Derauf, Rachel K. Byrd, Trynda N. Kroneman, Debra A. Bell, Lucas A. Stetzik, Seung‐Yi Lee, Alireza Samiei, Steven N. Hart, Joaquín J. García et al. · 2024 · Archives of Pathology & Laboratory Medicine
68. Artificial Intelligence in Medicine: from Diagnosis to Treatment
    Liudmyla Bashkirova, І. В. Кіт, Ю. М. Гаврищук, Anatolija A. Krasnova, Svitlana Vasylyuk-Zaitseva · 2024 · Futurity Medicine.
69. Image-based Lung Analysis in the Context of Digital Pathology: a Brief Review
    Somayeh Shahrabadi, João Carias, Emanuel Peres, Luís Magalhães, Miguel Angel Guevara, Luís A. Bastião Silva, Telmo Oliveira Adão · 2024 · Procedia Computer Science
70. Flow cytometric analysis for Ki67 assessment in formalin-fixed paraffin-embedded breast cancer tissue
    Natsuki Sato, Masahiko Tsujimoto, Masatoshi Nakatsuji, Hiromi Tsuji, Yuji Sugama, Kenzo Shimazu, Masafumi Shimoda, Hideki Ishihara · 2024 · BMC Biology
71. GKN-Stack: An Ensemble Deep Learning Framework for Blood Glucose Forecasting Based on Medical Examination Data
    Lüeshi Li, Huafeng Zhang, Ruizhuo Song · 2024 · IEEE Access
72. Utilizing Emotional Intelligence and Artificial Intelligence to Improve Safety Behavior in Smart Port Operations
    Szu‐Yu Kuo, Liang-Bi Chen · 2024 · IEEE Transactions on Technology and Society
73. Assessing the quality of whole slide images in cytology from nuclei features
    Paul Barthe, Romain Brixtel, Yann Caillot, Benoît Lemoine, Arnaud Renouf, Vianney Thurotte, Ouarda Beniken, Sébastien Bougleux, Olivier Lézoray · 2025 · Journal of Pathology Informatics
74. Real-time histological evaluation of gastrointestinal tissue using non-linear microscopy
    Haihui Liao, Timothy D. Weber, Rachel Yixuan Tan, Jeffrey Liu, James G. Fujimoto, Seymour Rosen, Yue Sun · 2025 · Journal of Clinical Pathology
75. The Potential Diagnostic Application of Artificial Intelligence in Breast Cancer
    Matineh Behzadi, Anahita Azinfar, Hawraa Ibrahim Alshakarchi, Yeganeh Khazaei, Ibrahim Saeed Gataa, Gordon A. Ferns, Hamid Naderi, Amir Avan, Hamid Fiuji, Masoud Pezeshki Rad · 2025 · Current Pharmaceutical Design
76. A lightweight curvature and attention-guided network for microscopic hyperspectral pathology image segmentation
    Hongmin Gao, Zhouyu Qian, Xinyu Li, Min Zhu, Xueying Cao, Peipei Xu · 2025 · Optics & Laser Technology
77. Artificial intelligence in pathological evaluation of gastrointestinal cancers
    Anıl Alpsoy, Ayşen Yavuz, Gülsüm Özlem Elpek · 2021 · Artificial Intelligence in Gastroenterology
78. Translating computational innovations into reality: focus on the users!
    Elizabeth Anne Krupinski · 2023 · SPIE Medical Imaging: Digital and Computational Pathology
79. Patch-based approaches to whole slide histologic grading of breast cancer using convolutional neural networks
    Sercan Çayır, Berkan Darbaz, Gizem Solmaz, Çisem Yazıcı, Hüseyin Kusetoğulları, Fatma Tokat, Leonardo O. Iheme, Engin Bozaba, Eren Tekin, Gülşah Özsoy et al. · 2023 · Elsevier eBooks
80. Artificial Intelligence in Ovarian Digital Pathology
    Katie E. Allen, Pratik Adusumilli, Jack Breen, Geoffrey Hall, Nicolas Michel Orsi · 2023 · Essentials of Diagnostic Gynecological Pathology.
81. Disrupting prostate cancer research: Challenge accepted; report from the 2023 Coffey‐Holden Prostate Cancer Academy Meeting
    Andrea K. Miyahira, Sophia C. Kamran, Tamara Jamaspishvili, Catherine Handy Marshall, Kara N. Maxwell, Abhijit Parolia, Nicholas A. Zorko, Kenneth J. Pienta, Howard R. Soule · 2024 · The Prostate
82. HAVOC: Small-scale histomic mapping of biodiversity across entire tumor specimens using deep neural networks
    Anglin Dent, Kevin Faust, K. H. Brian Lam, Narges Alhangari, Alberto Jose Leon, Queenie Tsang, Zaid Saeed Kamil, Andrew F. Gao, Prodipto Pal, Stéphanie Lheureux et al. · 2023 · medRxiv
83. Lining Up the Pieces: Coregistration of Digital Pathology Images Is an Underused Technique With Great Promise in Advancing Computational Pathology
    Jeffrey L. Fine · 2023 · American Journal of Clinical Pathology
84. The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue
    Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng et al. · 2023 · arXiv (Cornell University)
85. Machine learning enabled prediction of digital biomarkers from whole slide histopathology images
    Zachary Ryan McCaw, Anna Shcherbina, Yajas Shah, Davey Huang, Serra E. Elliott, Péter Márton Szabó, Benjamin Dulken, Sacha J. Holland, Philip C. Tagari, David Light et al. · 2024 · medRxiv
86. Spatial mapping of immunosuppressive CAF gene signatures in H&E-stained images using additive multiple instance learning
    Miles Markey, Juhyun Kim, Zvi Goldstein, Ylaine Gerardin, Jacqueline A. Brosnan‐Cashman, Syed Ashar Javed, Dinkar Juyal, Harshith Pagidela, Limin Yu, Bahar Rahsepar et al. · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
87. Pathologist-interpretable breast cancer subtyping and stratification from AI-inferred nuclear features
    Ranjan Kumar Barman, Saugato Rahman Dhruba, Danh-Tai Hoang, Eldad David Shulman, Emma M. Campagnolo, Andy T. Wang, Stephanie A. Harmon, Tom C. Hu, Antonios Papanicolau‐Sengos, MacLean P. Nasrallah et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
88. Recent Advances in Intraoperative Lumpectomy Margin Assessment for Breast Cancer
    Thomas Luo, Tongtong Lu, Bing Yu, Tina W. F. Yen · 2022 · Current Breast Cancer Reports
89. A prediction model based on digital breast pathology image information
    Guoxin Sun, Liying Cai, Xiong Yan, Weihong Nie, Xin Liu, Jing Xu, Xiao Zou · 2024 · PLoS ONE
90. Impact of functional electrical stimulation on nerve-damaged muscles by quantifying fat infiltration using deep learning
    Kassandra Walluks, Jan‐Philipp Praetorius, Dirk Arnold, Marc Thilo Figge · 2024 · Scientific Reports
91. Breast Cancer Detection and Classification Using Artificial Intelligence
    Letha Pravalika, Srinivas Bachu, Naluguru Udaya Kumar · 2024 · International Conference on Innovative Sustainable Technologies for Energy, Mechatronics, and Smart Systems (ISTEMS)
92. The Role of DNA Microarrays and Machine Learning in Cancer Research
    Arun Agrawal, Deepak Gupta, Archana Tomar, Chandra Prakash Bhargava, Deshdeepak Shrivastava · 2024 · Advances in medical technologies and clinical practice book series
93. Optimization of whole slide imaging scan settings for computer vision using human lung cancer tissue
    Melvin Geubbelmans, Jari Claes, Kim Nijsten, Pascal Gervois, Simon Appeltans, Sandrina Martens, Esther Wolfs, Michiel Thomeer, Dirk Valkenborg, Christel Faes · 2024 · PLoS ONE
94. Enquête nationale de la Société française de pathologie sur la recherche et l’utilisation de l’intelligence artificielle (IA) appliquée à la pathologie
    Pierre Allaume, Raphaël Bourgade, Arnaud Uguen, Thierry Pécot, Sophie Prevot, Catherine Guettier, Janick Sèlves, Philippe Bertheau, Camille Franchet, Magali Svrcek et al. · 2024 · Annales de Pathologie
95. Scalable recurrence graph network for stratifying RhoB texture dynamics in rectal cancer biopsies
    Tuan D. Pham · 2025 · APL Machine Learning
96. Maschinelles Lernen zur Identifikation pathologischer Myokardregionen: ein innovativer Ansatz für die digitale Pathologie
    Eva Corvest, Robin Sebastian Mayer, C. Kocuk, Verena Wilmes, Steffen Gretser, Elise Gradhand, Peter Johannes Wild, M. A. Verhoff, Nadine Flinner, Silke Kauferstein · 2025 · Rechtsmedizin
97. Boosting predictive accuracy in tumor cellularity evaluation with AI-powered ensemble methods
    Ching-Ping Wang, Yi‐Chen Yeh, Jung-Chih Chen, Chia‐Yen Lee · 2025 · Health and Technology
98. Facilitating Selection with Artificial Intelligence-Based Glypican-3 Expression Quantification in Patients with Solid Tumors
    Ellen Shuhan Meng, Wan‐Teck Lim, Maxime Chénard-Poirier, Jens Samol, Robin Meng, Ying Tong, Yuchen Li, Hong Wang, Paola Fiorentini, Elham Attieh et al. · 2025 · AI in Precision Oncology
99. Current status and trends of machine learning applied in clinical research of gastric cancer from 2004 to 2023: global bibliometric and visual analysis
    X. Wang, Chao Wu, Siqing Yue, Mengyuan Zhou, Enba Zhuo, Xin Wu, Yafen Wang, Bangjie Chen, Fan Wang · 2025 · Frontiers in Oncology
100. Psychological impact of ai in the automation of clinical decision-making
     Diana Catalina Velasteguí Hernández, Luis Felipe Contreras-Vásquez, Gabriela Fernanda Sandoval Espinoza, Andrea Tufiño, Andrea Carolina Cevallos Teneda, Estefanía Aracelly Reyes Rosero, Verónica Gabriela Salinas Velasteguí, Rita Elizabeth Velastegui Hernández, Fabricio Alejandro Vásquez de la Bandera Cabezas, Luis Fabián Salazar-Garcés · 2025 · Salud Ciencia y Tecnología