Digital pathology and artificial intelligence in translational medicine and clinical practice

Cited by (593)

Items 201–300 of 593

1. Deep Learning Prediction of TERT Promoter Mutation Status in Thyroid Cancer Using Histologic Images
   Jinhee Kim, Seokhwan Ko, Moonsik Kim, Ji Young Park, Hyung Soo Han, Junghwan Cho, Ji Young Park · 2023 · Medicina
2. AI-driven prediction of progression to oral squamous cell carcinoma using a multiresolution pathology model
   Yingci Liu-Swetz, Mr. Sead Niksic, Raja R. Seethala, Alivia M. Shasteen, David J. Foran, Elizabeth Ann Bilodeau · 2025 · npj Digital Medicine
3. Combined Applications of Artificial Intelligence and Simulation for Healthcare Process Optimization: A Systematic Review
   Jaime Álvarez-Vázquez, Manuel Casal-Guisande, Alberto Fernández-García, Mar Mosteiro, María Torres‐Durán, Alberto Fernández‐Villar · 2025 · Healthcare
4. High-Plex Assessment of Biomarkers in Tumors
   Thazin Nwe Aung, Katherine Bates, David L. Rimm · 2024 · Modern Pathology
5. A systematic review of machine learning-based tumor-infiltrating lymphocytes analysis in colorectal cancer: Overview of techniques, performance metrics, and clinical outcomes
   Azar Kazemi, Ashkan Rasouli‐Saravani, Masoumeh Gharib, Tomé Albuquerque, Saeid Eslami, Peter J. Schüffler · 2024 · Computers in Biology and Medicine
6. Computational pathology: an evolving concept
   Ioannis Prassas, Blaise Alexander Clarke, Timothy Youssef, Juliana Phlamon, Lampros Dimitrakopoulos, Andrew Rofaeil, George Makram Yousef · 2024 · Clinical Chemistry and Laboratory Medicine (CCLM)
7. A Comprehensive Exploration of Agents Targeting Tumor Microenvironment: Challenges and Future Perspectives
   Carlos Diego Holanda Lopes, Camila Bragança Xavier, Carlos Torrado, Ana Carolina Veneziani, Thais Baccili Cury Megid · 2024 · Journal of Immunotherapy and Precision Oncology
8. How to learn with intentional mistakes: NoisyEnsembles to overcome poor tissue quality for deep learning in computational pathology
   Robin Sebastian Mayer, Steffen Gretser, Lara Heckmann, Paul K. Ziegler, Britta Walter, Henning Reis, Katrin Bankov, Sven Becker, Jochen Triesch, Peter Johannes Wild et al. · 2022 · Frontiers in Medicine
9. Digital pathology in cardiac transplant diagnostics: from biopsies to algorithms
   Martin Květoň, Lukáš Hudec, Ivan Vykopal, Matej Halinkovič, Miroslav Laco, Andrea Felšöová, Wanda Benešová, Ondřej Fabián · 2023 · Cardiovascular Pathology
10. Leveraging Data Science for Personalized Nutrition
    Joyeta Ghosh · 2024 · Advances in medical diagnosis, treatment, and care (AMDTC) book series
11. Generating Progressive Images from Pathological Transitions Via Diffusion Model
    Zeyu Liu, Tianyi Zhang, Yufang He, Guanglei Zhang · 2024 · Lecture notes in computer science
12. Ulcerative Colitis, LAIR1 and TOX2 Expression, and Colorectal Cancer Deep Learning Image Classification Using Convolutional Neural Networks
    Joaquim Carreras, Giovanna Roncador, Rifat Hamoudi · 2024 · Cancers
13. Spatial Mapping of Gene Signatures in Hematoxylin and Eosin-Stained Images: A Proof of Concept for Interpretable Predictions 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. · 2025 · Modern Pathology
14. Artificial intelligence in pancreatic cancer histopathology and diagnostics - implications for clinical decisions and biomarker discovery?
    Petra Weselá, Michal Eid, Petr Moravčík, Jakub Vlažný, Jan Hlavsa, Vladimír Procházka, Zdeněk Kala, Petr Vaňhara · 2025 · Cell Division
15. A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates
    Benjamin Simon, Stephanie A. Harmon, Katie M. Merriman, Jesse Tetreault, Ömer Tarık Esengür, Hunter Stecko, Enis C. Yılmaz, Lei Clifton, Anshul Thakur, Zoë Blake et al. · 2025 · Clinical Imaging
16. Computational pathology in breast cancer: optimizing molecular prediction through task-oriented AI models
    Chiara Frascarelli, Konstantinos Venetis, Antonio Marra, Alberto Concardi, Marianna D’Ercole, Elisa Mangione, Mariachiara Negrelli, Francesca Maria Porta, S. Keswani, Giuseppe Curigliano et al. · 2025 · npj Breast Cancer
17. Color Vision Deficiency Survey in Anatomic Pathology
    Thomas James Flotte, Lynn D. Cornell · 2022 · American Journal of Clinical Pathology
18. Pathological Digital Biomarkers: Validation and Application
    Youngjae Song, Kyungmin Kang, Inho Kim, Tae Jung Kim · 2022 · Applied Sciences
19. Just how transformative will AI/ML be for immuno-oncology?
    Daniel Bottomly, Shannon K. McWeeney · 2024 · Journal for ImmunoTherapy of Cancer
20. Artificial Intelligence-Powered Whole-Slide Image Analyzer Reveals a Distinctive Distribution of Tumor-Infiltrating Lymphocytes in Neuroendocrine Neoplasms
    Hyung-Gyo Cho, Soo Ick Cho, Sangjoon Choi, Wonkyung Jung, Jiwon Shin, Gahee Park, Jimin Moon, Minuk Ma, Heon Song, Mohammad Mostafavi et al. · 2022 · Diagnostics
21. Global bibliometric mapping of the research trends in artificial intelligence-based digital pathology for lung cancer over the past two decades
    Dandan Xiong, Rong‐Quan He, Zhi‐Guang Huang, Kun-jun Wu, Ying-Yu Mo, Yue Liang, Daping Yang, Yinghui Wu, Zhong-qing Tang, Zu-tuan Liao et al. · 2024 · Digital Health
22. Concordance of Whole-Slide Imaging and Conventional Light Microscopy for Assessment of Pathologic Response Following Neoadjuvant Therapy for Lung Cancer
    Julie Stein Deutsch, Daphne Wang, Krista Y. Chen, Ashley Cimino‐Mathews, Elizabeth D. Thompson, Jaroslaw J. Jedrych, Robert A. Anders, Edward Gabrielson, Peter Bela Illei, Sonali Uttam et al. · 2024 · Laboratory Investigation
23. Evaluating the Impact of AI-Based Model-Informed Drug Development (MIDD): A Comparative Review
    Bingyu Mao, Yue Gao, Christine R. Xu, Sreeraj Macha, Shuai SHAO, Malidi Ahamadi · 2025 · The AAPS Journal
24. Interobserver Agreement in Immunohistochemical Evaluation of Folate Receptor Alpha (FRα) in Ovarian Cancer: A Multicentre Study
    Gian Franco Zannoni, Giuseppe Angelico, Antonio d’Amati, Nicoletta D’Alessandris, Giulia Scaglione, Belen Padial Urtueta, Gerardo Ferrara, Anna Caliò, Paola Campisi, Antonio De Leo et al. · 2025 · International Journal of Molecular Sciences
25. AI Chatbots in Answering Questions Related to Ocular Oncology: A Comparative Study Between DeepSeek v3, ChatGPT-4o, and Gemini 2.0
    Deepsekhar Das, Atindra Narayan, Varsha Mishra, Lalit Takia, Sumit Grover, Avinav Bharati, Shrijith Mb · 2025 · Cureus
26. NO–IL-6/10–IL-1β axis: a new pathway in steatotic and non-steatotic liver grafts from brain-dead donor rats
    Araní Casillas-Ramírez, Marc Micó-Carnero, Alfredo Sánchez-González, Cristina Maroto-Serrat, Andrés Trostchansky, Carmen Peralta · 2023 · Frontiers in Immunology
27. Status quo and future directions of digitalization in gynecology and obstetrics in Germany: a survey of the commission Digital Medicine of the German Society for Gynecology and Obstetrics
    André Pfob, Christoph Hillen, Katharina Seitz, Sebastian Griewing, Sven Becker, Christian Bayer, Uwe A. G. Wagner, Peter Andreas Fasching, Markus Wallwiener, For the Kommission Digitale Medizin, Deutsche Gesellschaft für Gynäkologie und Gebursthilfe (DGGG) · 2023 · Archives of Gynecology and Obstetrics
28. The 1000 Mitoses Project: A Consensus-Based International Collaborative Study on Mitotic Figures Classification
    Sherman Lin, Christopher Tran, Ela Bandari, Tommaso Romagnoli, Yueyang Li, Michael Chu, Abinaya Sundari Amirthakatesan, Adam Dallmann, A. O. Kostiukov, Ángel Panizo et al. · 2024 · International Journal of Surgical Pathology
29. Knowledge In Knowledge Out: A Next-Generation Platform Intersecting Social Media With Digital Pathology
    Casey P. Schukow, Phillip H. McKee · 2023 · Archives of Pathology & Laboratory Medicine
30. Deep learning predicts HRD and platinum response from histology slides in breast and ovarian cancer
    Erik N. Bergstrom, Ammal Abbasi, Marcos Díaz‐Gay, Loïck Galland, Scott Michael Lippman, Sylvain Ladoire, Ludmil B. Alexandrov · 2023 · medRxiv
31. Artificial Intelligence in Clinical Oncology: From Productivity Enhancement to Creative Discovery
    Kuno, Masahiro, Osumi, Hiroki, Udagawa, Shohei, Yoshikawa, Kaoru, Ooki, Akira, Shinozaki, Eiji, Ishikawa, Tetsuo, Oba, Junna, Yamaguchi, Kensei, Sakurada, Kazuhiro · 2025 · Current Oncology
32. Artificial intelligence‐driven change redefining radiology through interdisciplinary innovation
    Runqiu Huang, Xiaolin Meng, Xiaoxuan Zhang, Zhendong Luo, Lu Cao, Qianjin Feng, Guolin Ma, Di Dong, Yang Wang · 2025 · Interdisciplinary medicine
33. The Rise of AI-Assisted Diagnosis: Will Pathologists Be Partners or Bystanders?
    Riyad El‐Khoury, Ghazi S Zaatari · 2025 · Diagnostics
34. The digital transformation of laboratory medicine: From instruments to intelligence
    Khosrow Adeli · 2025 · LabMed discovery.
35. Adaptive compression framework for giga-pixel whole slide images
    Jonghyun Lee, Lina Takemaru, D. M. Bappy, Ye Sul Jeong, Won‐Ki Jeong, Derek A. Oldridge, Dokyoon Kim, Sangjeong Ahn, Sung Hak Lee · 2025 · Nature Communications
36. Digital image analysis workflows for evaluation of cell behavior and tumor microenvironment to aid therapeutic assessment in high-risk neuroblastoma
    M. Stoks, Isaac Vieco-Martí, Inmaculada Noguera, M. Luz Sánchez-Sánchez, Rebeca Burgos‐Panadero, S. Navarro, Rosa Noguera · 2023 · Computers in Biology and Medicine
37. Deep Learning in Barrett’s Esophagus Diagnosis: Current Status and Future Directions
    Ruichen Cui, Lei Wang, Lin Lin, Jie Li, Runda Lu, Shixiang Liu, Bowei Liu, Yi‐Min Gu, Hanlu Zhang, Qixin Shang et al. · 2023 · Bioengineering
38. Revolutionizing Healthcare: Harnessing the Power of Artificial Intelligence for Enhanced Diagnostics, Treatment and Drug Discovery
    Mahmoud K Kandeel · 2024 · International Journal of Pharmacology
39. Attention-Guided Prototype Mixing: Diversifying Minority Context on Imbalanced Whole Slide Images Classification Learning
    Farchan Hakim Raswa, Chun-Shien Lu, Jia‐Ching Wang · 2024 · IEEE Winter Conference on Applications of Computer Vision
40. ML-driven segmentation of microvascular features during histological examination of tissue-engineered vascular grafts
    Вячеслав Данилов, Лаптев Владислав Витальевич, Kirill Yu. Klyshnikov, Alexander D. Stepanov, Leo A. Bogdanov, Larisa V. Antonova, Eugenia O. Krivkina, Антон Геннадьевич Кутихин, Evgeny Andreevich Ovcharenko · 2024 · Frontiers in Bioengineering and Biotechnology
41. Unveiling the landscape of pathomics in personalized immunotherapy for lung cancer: a bibliometric analysis
    Lei Yuan, Zhiming Shen, Yibo Shan, Jianwei Zhu, Qi Wang, YiQing Lü, Hongcan Shi · 2024 · Frontiers in Oncology
42. Statistical Analysis of Quantitative Cancer Imaging Data
    Shariq Mohammed, Maria Masotti, Nathaniel Osher, Satwik Acharyya, Veerabhadran Baladandayuthapani · 2024 · Statistics and data science in imaging.
43. The prevalence and clinical significance of EGFR mutations in non-small cell lung cancer patients in Egypt: a screening study
    Asmaa A. Helal, Ibrahim Hassan Kamal, Ahmed Osman, Magdy Youssef, Adel Khalil Ibrahim · 2024 · Journal of the Egyptian National Cancer Institute
44. Multimarker Assessment of B-Cell and Plasma Cell Subsets and Their Prognostic Role in the Colorectal Cancer Microenvironment
    Onni Sirkiä, Henna Karjalainen, Hanna Elomaa, Sara A. Väyrynen, Anne Tuomisto, Päivi Sirniö, Ville K. Äijälä, Vilja V. Tapiainen, Meeri Kastinen, Erkki‐Ville Wirta et al. · 2025 · Clinical Cancer Research
45. A novel transformer-based aggregation model for predicting gene mutations in lung adenocarcinoma
    Kai Sun, Yuanjie Zheng, Xinbo Yang, Weikuan Jia · 2024 · Medical & Biological Engineering & Computing
46. The Evolving Landscape of GEP-NENs in the Era of Precision Oncology: Molecular Insights into Tumor Heterogeneity
    Sunanda Biswas Mukherjee, Rachyl M. Shanker, James P. Madigan, Samira Mercedes Sadowski · 2025 · Cancers
47. Behavioral Impacts of AI Reliance in Diagnostics: Balancing Automation with Skill Retention
    Omolayo Sunday · 2025 · Epidemiology and Health Data Insights
48. Artificial Intelligence Tools for Supporting Histopathologic and Molecular Characterization of Gynecological Cancers: A Review
    A.V. Asaturova, João Correia Pinto, António Polónia, Evgeny Karpulevich, Xavier Matías‐Guiu, Catarina Eloy · 2025 · Journal of Clinical Medicine
49. AI-Powered histopathology slide image interpretation in oncology: A comprehensive knowledge mapping and bibliometric analysis
    Moutaz W. Sweileh · 2025 · Digital Health
50. A Deep Learning-Generated Mixed Tumor–Stroma Ratio for Prognostic Stratification and Multi-omics Profiling in Bladder Cancer
    Yifeng He, Jinbo Xie, Suquan Zhong, Changxin Zhan, Fazhong Dai, Hongshen Lai, Mancun Wang, Yanyan He, Harsh Patel, Zhe‐Sheng Chen et al. · 2025 · Research
51. Artificial intelligence in hepatocellular carcinoma screening: applications and challenges
    Jian-Xu Rao, Ying Li, Kai Leng · 2026 · Frontiers in Medicine
52. Automated analysis of gray matter damage in aged mice reveals impaired remyelination in the cuprizone model
    Stefan Gingele, Thiemo Malte Möllenkamp, Florian Henkel, Lara‐Jasmin Schröder, Martin Werner Hümmert, Thomas Skripuletz, Martin Stangel, Viktoria Gudi · 2023 · Brain Pathology
53. Quantitative digital pathology enables automated and quantitative assessment of inflammatory activity in patients with autoimmune hepatitis
    Piotr Socha, Elizabeth Shumbayawonda, Abhishek Roy, Caitlin Langford, Paul Aljabar, Małgorzata Woźniak, Sylwia Chełstowska, Elżbieta Jurkiewicz, Rajarshi Banerjee, Ken Fleming et al. · 2024 · Journal of Pathology Informatics
54. Artificial intelligence-based automated determination in breast and colon cancer and distinction between atypical and typical mitosis using a cloud-based platform
    Nilay Bakoglu, Emine Cesmecioglu, Hirotsugu Sakamoto, Masao Yoshida, Takashi Ohnishi, Seung-Yi Lee, Lindsey Smith, Yukako Yagi · 2024 · Pathology & Oncology Research
55. Cost-effective instruction learning for pathology vision and language analysis
    Kaitao Chen, Mianxin Liu, Fang Yan, Лей Ма, Xiaoming Shi, Lilong Wang, Xiaosong Wang, Lifeng Zhu, Zhe Wang, Mu Zhou et al. · 2025 · Nature Computational Science
56. Establishment of a whole slide imaging-based frozen section service at a cancer center
    Sue Chang, Evita T. Sadimin, Keluo Yao, Stanley R. Hamilton, Patricia A. Aoun, Raju K. Pillai, David Muirhead, Daniel D. Schmolze · 2022 · Journal of Pathology Informatics
57. International pediatric transplant association ( IPTA ) guidance on developing and/or expanding pediatric solid organ transplantation programs in low‐ and middle‐income countries
    Hanh D. Vo, Fiona Mackie, Mignon McCulloch, Raymond Reding · 2022 · Pediatric Transplantation
58. AI-Enhanced Digital Pathology and Radiogenomics in Precision Oncology
    Demetra Demetriou, Rodney Hull, Mmamoletla Kgoebane-Maseko, Zarina Ismail Lockhat, Zodwa Dlamini · 2023 · Springer eBooks
59. Artificial intelligence and improvement of stem cell delivery in healthcare
    Tungki Pratama Umar · 2023 · Electronic Journal of General Medicine
60. Generalizability of Self-Supervised Training Models for Digital Pathology: A Multicountry Comparison in Colorectal Cancer
    Zhuchen Shao, Liuxi Dai, Jitendra Jonnagaddala, Yang Chen, Yifeng Wang, Zijie Fang, Yongbing Zhang · 2023 · JCO Clinical Cancer Informatics
61. Morphometric Analysis of Lateral Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma Using Digital Pathology
    Chae A Kim, Hyeong Rok An, Jungmin Yoo, Yu‐Mi Lee, Tae‐Yon Sung, Won Gu Kim, Dong Eun Song · 2023 · Endocrine Pathology
62. Self-Emotion-Mediated Exploration in Artificial Intelligence Mirrors: Findings from Cognitive Psychology
    Gustavo Assunção, Miguel S. Castelo-Branco, Paulo J. Menezes · 2025 · AI
63. Flexible and scalable federated learning with deep feature prompts for digital pathology
    Cong Cong, Yang Song, Antonio Di Ieva, Angela S. Y. Chou, Anthony James Gill, Enrico W Coiera, Sidong Liu · 2026 · npj Digital Medicine
64. Enhanced patient selection with quantitative continuous scoring of PD-L1 expression for IO treatment in metastatic NSCLC
    Jan Lesniak, Markus Schick, Thomas Kunzke, F. Pollastri, Juan P. Vigueras-Guillén, Harald Hessel, Stefan Haneder, P. Sontakke, Karma Dacosta, Regina Alleze et al. · 2025 · npj Precision Oncology
65. Artificial intelligence for cardiology: from diagnosis to management
    Vasanthrie Naidoo, Lavanya Madamshetty, Suresh babu Naidu Krishna · 2026 · Therapeutic Advances in Cardiovascular Disease
66. High throughput sequencing in oncology: from tumor characterization to novel therapies
    Xudong Liu, Liwen Kuang, Lei Wu, Yongsheng Li · 2026 · Holistic Integrative Oncology
67. AIR-UNet++: a deep learning framework for histopathology image segmentation and detection
    Anusree Kanadath, J. Angel Arul Jothi, Siddhaling Urolagin · 2023 · Multimedia Tools and Applications
68. Artificial intelligence and the delivery of patient-centered care in the Gulf region: navigating the ethical landscape
    Adhari Abdullah Alzaabi, Aasim Ilyas Padela · 2024 · Elsevier eBooks
69. Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis
    Haowen Zhou, Siyu Lin, Mark Watson, Cory T. Bernadt, Oumeng Zhang, Ling Liao, Ramaswamy Govindan, Richard J. Côté, Changhuei Yang · 2024 · Scientific Reports
70. Deep learning for fetal inflammatory response diagnosis in the umbilical cord
    Marina A. Ayad, Ramin Nateghi, Abhishek Sharma, Lawrence Chillrud, Tilly Seesillapachai, Teresa Chou, Lee Cooper, Jeffery A. Goldstein · 2025 · Placenta
71. Construction and validation of a prognostic nomogram model integrating machine learning-pathomics and clinical features in IDH-wildtype glioblastoma
    Yaomin Li, Pei Ouyang, Zongliao Zheng, Jiapeng Deng, Aishun Guo, Weiwei Wang, Yawei Liu, Yu-Ping Peng, Yankai Liao, Xiran Wang et al. · 2025 · Journal of Translational Medicine
72. Artificial Intelligence-driven image analysis for standardised programmed death-ligand 1 expression evaluation in non-small cell lung cancer
    Chong Ge, Yi Shi, Wei Wang, Anli Zhang, Mengqi Huang, Fang Zhao, Ao Li, Zhenzhong Feng, Minghui Wang, Haibo Wu · 2025 · Diagnostic Pathology
73. Celebrating neuropathology's contributions to Alzheimer's Disease Research Centers
    D. Luke Fischer, Lea T. Grinberg, Jared T. Ahrendsen, Thomas G. Beach, Kevin F. Bieniek, Rudolph J. Castellani, Rati Chkheidze, Inma Cobos, Mark L. Cohen, John F. Crary et al. · 2025 · Alzheimer s & Dementia
74. Deep learning approaches for pathological image classification
    Masayuki Tsuneki · 2025 · Journal of Oral Biosciences
75. Artificial Intelligence in Digital Pathology to Advance Cancer Immunotherapy.
    Pingjun Chen, Jianjun J. Zhang, Jia Wu · 2022 · PubMed
76. Automated Image Analysis of Transmission Electron Micrographs: Nanoscale Evaluation of Radiation-Induced DNA Damage in the Context of Chromatin
    Mutaz A. Abd Al‐razaq, Anna Isermann, Markus Hecht, Claudia E. Rübe · 2023 · Cells
77. Surrogate Biomarker Prediction from Whole-Slide Images for Evaluating Overall Survival in Lung Adenocarcinoma
    Pierre Murchan, Anne‐Marie Baird, Pilib Ó Broin, Orla M. Sheils, Stephen P. Finn · 2024 · Diagnostics
78. An Integrated Radiopathomics Machine Learning Model to Predict Pathological Response to Preoperative Chemotherapy in Gastric Cancer
    Yaolin Song, Shunli Liu, Xinyu Liu, Huiqing Jia, Hailei Shi, Xianglan Liu, Dapeng Hao, Hexiang Wang, Xiaoming Xing · 2024 · Academic Radiology
79. Development of a deep learning-based model to evaluate changes during radiotherapy using cervical cancer digital pathology
    Masaaki Goto, Yasunori Futamura, Hirokazu Makishima, Takashi Kei SAITO, Noriaki Sakamoto, Tatsuo Iijima, YOSHIO TAMAKI, Toshiyuki Okumura, Tetsuya Sakurai, Hideyuki Sakurai · 2025 · Journal of Radiation Research
80. The Prognostic Impact of the Tumor Immune Microenvironment in Synovial Sarcoma: An Immunohistochemical Analysis Using Digital Pathology and Conventional Interpretation
    Emilio Medina-Ceballos, Francisco Giner, Isidro Machado, Begoña Heras-Morán, Mónica Espino, Samuel Navarro, Antonio Llombart-Bosch · 2025 · Journal of Personalized Medicine
81. Histology and Embryology 4.0
    Kubilay Doğan Kılıç · 2023 · Advances in computational intelligence and robotics book series
82. Combining ChatGPT and machine learning: A viable alternative for discussion in oral medicine
    Lucas Alves da Mota Santana, Harim Tavares dos Santos, Rani Iani Costa Gonçalo, Carla Samily de Oliveira Costa, Breno Ferreira Barbosa, Êmilly Victória Maciel Alves, Taun Rosa de Santana, Margarite Maria Delmondes Freitas, Wilton Mitsunari Takeshita, Cléverson Luciano Trento · 2023 · Oral Diseases
83. Teaching Artificial Intelligence from Conceptual Foundations: A Roadmap for Psychiatry Training Programs
    Richard G. Cockerill, Michael R. MacIntyre, Carolyn Shima · 2024 · Academic Psychiatry
84. Integration of nuclear morphology and 3D imaging to profile cellular neighborhoods
    André Forjaz, Donald Kramer, Yu Shen, Habin Bea, Margarita Tsapatsis, Jianglu Ping, Vasco Queiroga, Kyu Han San, Saurabh Joshi, Casey Grubel et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
85. Artificial intelligence algorithm for neoplastic cell percentage estimation and its application to copy number variation in urinary tract cancer
    J. Jeong, Deokhoon Kim, Yeon‐Mi Ryu, Ja-Min Park, Sun Young Yoon, Bokyung Ahn, Gi Hwan Kim, Se Un Jeong, Hyun-Jung Sung, Yong il Lee et al. · 2024 · Journal of Pathology and Translational Medicine
86. Role of Artificial Intelligence in Nanomedicine and Organ-specific Therapy: An Updated Review
    Kuldeep Rajpoot · 2025 · Current Drug Targets
87. Attitudes toward artificial intelligence in pathology: a survey-based study of pathologists in northern India
    Manupriya Sharma, Kavita Kumari, Navpreet Navpreet, Sushma Bharti, Rajneesh Kumari · 2025 · Journal of Pathology and Translational Medicine
88. Validation of histopathology-based deep learning algorithms for detection of actionable non-small cell lung cancer biomarkers
    Christian Diego Rolfo, Efrat Ofek, Yoash Barak, Jonathan Weidenfeld, Razan Imad Haj, Yossef Molchanov, Alexander Loebel, David R. Braxton, John S. Cupp, Rinat Yacobi et al. · 2026 · npj Precision Oncology
89. Recommendation Statement for the Validation, Implementation, and Clinical Application of Artificial Intelligence Within a Clinical Laboratory from the Digital Pathology Association
    Nathan Silberman, Anil Vasdev Parwani, David S. McClintock, Giovanni Mario Lujan, Dibson Dibe Gondim, Christopher Garcia, Matthew G. Hanna, Liron Pantanowitz, Jochen K. Lennerz, Timothy Norman Showalter et al. · 2026 · AI in Precision Oncology
90. From Pixels to Prognosis: A Narrative Review on Artificial Intelligence’s Pioneering Role in Colorectal Carcinoma Histopathology
    Suhit Naseri, Samarth Shukla, Kishore Hiwale, Miheer M Jagtap, Pravin Vasantrao Gadkari, Kartik Gupta, Mamta Deshmukh, Shakti Sagar · 2024 · Cureus
91. Anomalous EEG Signal Time Series Classification Using Modified Metaheuristic Optimized RNN
    Nebojša Bačanin, Luka Jovanović, Ana Toskovic, Miodrag Z. Zivkovic, Aleksandar Petrović, Miloš Antonijević · 2024 · Lecture notes in networks and systems
92. Evaluation of tumor budding with virtual panCK stains generated by novel multi-model CNN framework
    Xingzhong Hou, Zhen Guan, Xianwei Zhang, Xiao Hu, Shuangmei Zou, Chunzi Liang, Lulin Shi, Kaitai Zhang, Haihang You · 2024 · Computer Methods and Programs in Biomedicine
93. Multiple instance learning-based prediction of programmed death-ligand 1 (PD-L1) expression from hematoxylin and eosin (H&E)-stained histopathological images in breast cancer
    Zhen Da, Heng Yang, Bianba Zhaxi, Kaixiang Sun, Guohui Bai, Chao Wang, Feiyan Wang, Weijun Pan, Rui Du · 2025 · PeerJ
94. Quantitative Histology of Nonmetastatic Regional Lymph Nodes as a Novel Prognostic Indicator in Microsatellite Instability–High Colorectal Cancer
    Ji Hye Moon, Jiyun Hong, Seoung Wan Chae, Inwoong Choi, Chaejoo Kim, Jeong Mo Bae, Gyeong Hoon Kang, Sangwoo Kim, Minsun Jung, Jung Ho Kim · 2025 · Modern Pathology
95. Molecular subtypes of metastatic prostate cancer: from pathophysiology to diagnosis
    Jeanne Maria Dsouza, Erolcan Sayar, Michael Thomas Schweizer, Stephanie A. Harmon, Colm M. Morrissey, Himisha Beltran, Peter S. Nelson, Liang Cheng C, Chien‐Kuang Cornelia Ding, Michael C. Haffner · 2025 · Histopathology
96. Analysis of neuroendocrine clones in NSCLCs using an immuno-guided laser-capture microdissection-based approach
    Elisa Baldelli, Martina Mandarano, Guido Bellezza, Emanuel F. Petricoin, Mariaelena Pierobon · 2022 · Cell Reports Methods
97. Yin and yang roles of B lymphocytes in solid tumors: Balance between antitumor immunity and immune tolerance/immunosuppression in tumor-draining lymph nodes
    Tomoya Katakai · 2023 · Frontiers in Oncology
98. Standardizing analysis of intra‐tumoral heterogeneity with computational pathology
    Ameesha Paliwal, Kevin Faust, Azhar Alshoumer, Phedias Diamandis · 2023 · Genes Chromosomes and Cancer
99. Evaluation of a Deep Learning Model for Metastatic Squamous Cell Carcinoma Prediction From Whole Slide Images
    Makoto Abe, Fahdi Kanavati, Masayuki Tsuneki · 2024 · Archives of Pathology & Laboratory Medicine
100. A Microscope Setup and Methodology for Capturing Hyperspectral and RGB Histopathological Imaging Databases
     Gonzalo Rosa, Manuel Villa, Sara Hiller-Vallina, Miguel Chavarrías, Fernando Pescador, Ricardo Gargini · 2024 · Sensors