Independent real‐world application of a clinical‐grade automated prostate cancer detection system

da Silva, Leonard M, Pereira, Emilio M, Salles, Paulo GO, Godrich, Ran, Ceballos, Rodrigo, Kunz, Jeremy D, Casson, Adam, Viret, Julian +13 more·2021·The Journal of Pathology

Cited by (175)

Items 101–175 of 175

  1. Invisible for a few but essential for many: the role of Histotechnologists in the establishment of digital pathology
    Gisela Magalhães, Rita Calisto, Catarina Freire, Regina Augusta Silva, Diana Montezuma, Şule Canberk, Fernando Carlos Schmitt · 2023 · Journal of Histotechnology
  2. Comprehensive AI Model Development for Gleason Grading: From Scanning, Cloud-Based Annotation to Pathologist-AI Interaction
    Xinmi Huo, Kok Haur Ong, Kah Weng Lau, Laurent Golé, Char Loo Tan, Chongchong Zhang, Yonghui Zhang, Xiaohui Zhu, Longjie Li, Hao Han et al. · 2022 · SSRN Electronic Journal
  3. The Role of Artificial Intelligence in the Evaluation of Prostate Pathology
    Lars Egevad, Andrea Camilloni, Brett Delahunt, Hemamali Samaratunga, Martin Eklund, Kimmo Kartasalo · 2025 · Pathology International
  4. Machine learning based diagnostics of veterinary cancer on ultrasound and optical imaging data
    Martynas Maciulevičius, Greta Rupšytė, Renaldas Raišutis, Mindaugas Tamošiūnas · 2025 · Veterinary Quarterly
  5. Current Applications and Future Directions of Artificial Intelligence in Prostate Cancer Diagnosis: A Narrative Review
    Cong-Yi Zhu, Rui Qu, Yun Dai, Luo Yang · 2026 · Current Oncology
  6. Advancing Precision Oncology With Artificial Intelligence: Ushering in the ArteraAI Prostate Test
    Salil S. Ghamande, Joseph K. Cline, Rashid Khalid Sayyid, Zachary William Abraham Klaassen · 2024 · Urology
  7. Prostate-Specific Membrane Antigen Is a Biomarker for Residual Disease following Neoadjuvant Intense Androgen Deprivation Therapy in Prostate Cancer
    John R. Bright, Rosina T. Lis, Anson T. Ku, Nicholas Taylor Terrigino, Nichelle C. Whitlock, Shana Y. Trostel, Nicole V. Carrabba, Stephanie A. Harmon, Barış Türkbey, Scott C. Wilkinson et al. · 2022 · The Journal of Urology
  8. Public Awareness of and Attitudes Toward the Use of AI in Pathology Research and Practice: Mixed Methods Study
    Caroline Lewis, Jenny M. Groarke, Lisa Graham‐Wisener, Jacqueline A. James · 2025 · Journal of Medical Internet Research
  9. Artificial intelligence enabled tumor diagnosis and treatment: Status, breakthroughs and challenges
    Yani Hu, Shuai Liang, Xu Zhou, Zhipeng Zeng, Junli Ding, Dong Hua · 2025 · Critical Reviews in Oncology/Hematology
  10. Applications of artificial intelligence in benign prostatic hyperplasia
    Saakshi Bansal, Yanjinlkham Chuluunbaatar, Andrew Brodie, Nikhil Vasdev · 2023 · Artificial Intelligence Surgery
  11. Generative Adversarial Networks for Stain Normalisation in Histopathology
    Jack Breen, Kieran Zucker, Katie Allen, Nishant Ravikumar, Nicolas Michel Orsi · 2024 · Springer eBooks
  12. Role of Artificial Intelligence in Kidney Pathology: Promises and Pitfalls
    Kyle N. Goodman, Kathryn Sarullo, S. Joshua Swamidass, Joseph P. Gaut, Sanjay R. Jain · 2024 · Kidney360
  13. Ethical and Legal Aspects of Artificial Intelligence (AI) in Medical Service Contracts
    Rafaella Nogaroli · 2025 · Springer eBooks
  14. Artificial Intelligence Across the Prostate Cancer Pathway: Screening, Imaging, Pathology, and Biomarkers
    Muhammad Rakib Hasan, Nazeer Ibraheem, Mohammad Ekhlasur Rahman, Rezuana Tamanna · 2025 · Cureus
  15. AI-Supported Digital Microscopy Diagnostics in Primary Health Care Laboratories: Scoping Review
    Joar von Bahr, Antti Suutala, Vinod Kumar Diwan, Andreas Mårtensson, Johan E. Lundin, Nina Linder · 2025 · Journal of Medical Internet Research
  16. Foundation models: Insights and implications for gastrointestinal cancer
    Lei Shi, Rui Huang, Li-Ling Zhao, An-Jie Guo · 2025 · World Journal of Gastroenterology
  17. Digital pathology‐based artificial intelligence algorithms in prostate cancer: inside the ‘black box’
    Claire Marie de la Calle, Alexander Spyridon Baras, Tamara Levin Lotan · 2026 · British Journal of Urology
  18. The Current State of Artificial Intelligence for Benign Prostatic Hyperplasia
    Liam Murad, Ethan Layne, Conner Ganjavi, Inderbir Singh Gill, Mihir Desai, Kevin Christopher Zorn, Giovanni Enrico Cacciamani · 2025 · European Urology Focus
  19. Novel liquid immunocytochemistry with machine learning analysis for bladder cancer detection
    Ankush Patel, Samir Atiya, Yi Song, Wenjiang Chu, Anil Vasdev Parwani · 2025 · Journal of Histotechnology
  20. Expert System Research for Prostate Cancer : A Literature Review
    Rusliyawati Rusliyawati, Sutyarso Sutyarso, Agus Wantoro · 2023 · International Conference on Networking, Electrical Engineering, Computer Science, and Technology (IConNECT)
  21. The Development Process and Lifecycle of Clinical Grade and Other Safety and Performance-Sensitive AI/ML Models
    Constantin Aliferis, György Simon · 2024 · Health informatics
  22. Artificial Intelligence in Uropathology
    Kátia Ramos Moreira Leite, Petrônio Augusto de Souza Melo · 2024 · Diagnostics
  23. Clinical advantages in providing artificial intelligence-assisted prostate cancer diagnosis: A pilot study
    Catarina Eloy, A.V. Asaturova, João Correia Pinto, Iván Rienda, Antonia Syrnioti, Rui Prisco, António Polónia · 2025 · Pathology - Research and Practice
  24. Deep learning uncovers histological patterns of YAP1/TEAD activity related to disease aggressiveness in cancer patients
    Benoît Schmauch, Vincent Cabeli, Omar Darwiche Domingues, Jean-Eudes Le Douget, Alexandra Hardy, Reda Belbahri, Charles Maussion, Alberto Romagnoni, Markus Eckstein, Florian Siegfried Fuchs et al. · 2024 · iScience
  25. Ai-assissted multimodal classification of canine and feline (Sub-)Cutaneous tumors using ultrasound, white light and fluorescence imaging
    Martynas Maciulevičius, Greta Rupšytė, Renaldas Raišutis, Mindaugas Tamošiūnas · 2025 · Measurement
  26. 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
  27. An Overview of Existing Applications of Artificial Intelligence in Histopathological Diagnostics of Leukemias: A Scoping Review
    Mieszko Czapliński, Grzegorz Redlarski, Paweł Kowalski, Piotr Mateusz Tojza, Adam Sikorski, Arkadiusz J. Żak · 2025 · Electronics
  28. Exploring patient and clinician opinions, perspectives and acceptance of the use of artificial intelligence in the histological diagnosis of prostate cancer
    Lisa Browning, Abhisek Ghosh, Monica Dolton, Kate Hutton, Jacqueline Birks, Richard Scheffer, Ewart Stanislaus, James Crofts, Richard T. Colling, Richard J. Bryant et al. · 2025 · BJUI Compass
  29. Artificial Intelligence and Machine Learning in Health Care
    David Liebovitz, Allan Y. Wu, Courtney Bryce Reamer, Brian Vadasz · 2025 · Medical Clinics of North America
  30. Artificial intelligence-driven prostate cancer diagnosis: Enhancing accuracy and personalizing patient care
    Xiaoyi Zhang, Na Xiao, Hao Liang, Peixin Li, Yaozhong Zhang, Shijie Zhang, Bin Zhou, Shengwen Yao, Zizhuo Yang, Jun Chen · 2025 · Urologic Oncology Seminars and Original Investigations
  31. Deep Learning for Digital Pathology in Limited Data Scenarios
    Karin Stacke · 2022 · Linköping studies in science and technology. Dissertations
  32. Artificial Intelligence Applications in Prostate Cancer Management: Success Stories and Future Ahead
    Raghav Khanna, Alejandro Granados, Nicholas Tobias Johannes Raison, Sebastien Ourselin A, Alberto Briganti, Francesco Montorsi, Prokar Dasgupta A · 2024 · UroCancer Clinics of India .
  33. Clinical implications of deep learning based image analysis of whole radical prostatectomy specimens
    Tae-Yeong Kwak, Chan Ho Lee, Won Young Park, Ja Yoon Ku, Chang Wook Jeong, Eu Chang Hwang, Seock Hwan Choi, Joonyoung Cho, Hyeyoon Chang, Kyung Hwan Kim et al. · 2025 · Scientific Reports
  34. 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
  35. 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
  36. I-Viewer: An Online Digital Pathology Analysis Platform with Agentic-RAG AI Copilot
    Ruichen Rong, Danni Luo, Zifan Gu, Peiran Quan, Ismael Villanueva-Miranda, Jonathan Wang, Shengjie Yang, Zhikai Chi, Patrick J. Leavey, Donghan M. Yang et al. · 2024 · Research Square
  37. Computational pathology - Transforming diagnosis through machine learning and AI
    Tejashwini Kotian · 2024 · IP Journal of diagnostic pathology and oncology/IP journal of diagnostic pathology and oncology/Journal of diagnostic pathology and oncology
  38. Patients and generative AI: Who owns your diagnosis?
    Asher L Mandel, Michael DeMeo, Ashutosh Maheshwari, Ash Tewari · 2024 · BJUI Compass
  39. Durable responses upon short-term addition of targeted therapy to anti-PD1 in advanced melanoma patients: 5-year progression-free and overall survival update of the IMPemBra trial
    Lotte L. Hoeijmakers, Elisa A. Rozeman, Marta López‐Yurda, Lindsay G. Grijpink-Ongering, Birthe C. Heeres, Bart A. van de Wiel, Claudie C. Flohil, A. Sari, Stijn W. T. P. J. Heijmink, Daan A. van den Broek et al. · 2025 · European Journal of Cancer
  40. Artificial Intelligence in Benign Prostatic Hyperplasia
    Liam Murad, David Bouhadana, Aalya Hamouda, Adel Arezki, Ethan Layne, Conner Ganjavi, Giovanni Enrico Cacciamani, Alexander P. Glaser, Brian T. Helfand, Kevin Christopher Zorn · 2025 · Urologic Clinics of North America
  41. Review and Commentary on Digital Pathology and Artificial Intelligence in Pathology
    Sahussapont Joseph Sirintrapun · 2025 · JCO Clinical Cancer Informatics
  42. Laboratoire numérique : workflow digital en pratique et intégration de l’IA en pathologie de routine, à travers l’exemple de la prostate
    Solène‐Florence Kammerer‐Jacquet, Pierre Allaume, Katell Guiheux, Sophie Desdoigts, Céline Despax, Christine Pichon, Audrey Brishoual, Romain Bednarski, Olivier Baly, Rafael Ramalho Vale Cavalcante et al. · 2026 · Annales de Pathologie
  43. Real world experience on digital transformation and deployment of artificial intelligence tools across a network of pathology laboratories in Brazil
    Leonard Medeiros Da Silva, Daniel Abensur Athanazio · 2026 · Surgical and Experimental Pathology
  44. Translational AI in whole-slide image cancer histopathology: state of the art and regulatory-approved solutions
    Richard Oliver Matzko, Burak Kucukgoz, Pawel Gertner, Christopher Daniel Carey, Chris M. Bacon, Tong Xin · 2026 · Frontiers in Digital Health
  45. Practical applications of computational pathology: bridging technology and clinical practice
    Matthew G. Hanna, Hooman Rashidi, Liron Pantanowitz · 2026 · Pathology
  46. Large language medicine: defining a new paradigm in human health
    Ahmad Guni, Wanheng Hu, Jessica Morley, Ivan Glenn Cohen, Payam Mamaani Barnaghi, Hutan Ashrafian · 2026 · Frontiers in Science
  47. Artificial intelligence in anatomical pathology
    Saba Shafi, Anil Vasdev Parwani · 2023 · Elsevier eBooks
  48. AI-Assisted High-Throughput Tissue Microarray Workflow
    Konrad Kurowski, Sylvia Timme, Melanie Christine Föll, Clara Backhaus, Philipp Anton Holzner, Bertram Bengsch, Oliver Schilling, Martin Werner, Peter Bronsert · 2024 · Methods and Protocols
  49. The use of a deep learning model in the histopathological diagnosis of actinic keratosis: A case control accuracy study
    Julius Balkenhol, Maximilian Schmidt, T. Schnauder, Johannes Langhorst, Jean Le’Clerc Arrastia, Daniel Otero Baguer, G. Gilbert, Lutz Schmitz, Thomas Dirschka · 2023 · medRxiv
  50. Artificial intelligence-supported digital microscopy diagnostics in primary health care laboratories: a scoping review (Preprint)
    Joar von Bahr, Antti Suutala, Vinod Kumar Diwan, Andreas Mårtensson, Nina Linder, Johan E. Lundin · 2025
  51. Technologic Stewardship in Urology: A Call for Action
    Ranveer M. S. Vasdev, Anish Sethi, Abhinav Khanna · 2023 · Urology
  52. Reliability of Systematic and Targeted Biopsies versus Prostatectomy
    Tianyuan Guan, Abhinav Sidana, Marepalli Bhaskara Rao · 2023 · Bioengineering
  53. Utilization of Artificial Intelligence in Breast Pathology
    Michael O Baclig · 2024 · Philippine Journal of Pathology
  54. Expanding role and scope of artificial intelligence in the field of gastrointestinal pathology
    Muhammed Mubarak, Rahma Rashid, Fnu Sapna, Shaheera Shakeel · 2024 · Artificial Intelligence in Gastroenterology
  55. Artificial intelligence development in pathological diagnosis of pancreatic EUS-FNAB
    Yoshiki Naito · 2025 · Suizo
  56. Those magnificent pathologists and their computational machines
    Gil Patrus Pena · 2025 · Surgical and Experimental Pathology
  57. A Framework for Prostate Cancer Diagnosis: Can AI Improve Clinical Workflows?
    Markus Bauer, Lennart Schneider, Adam Gurwin, Marit Bernhardt, Christoph Augenstein, Glen Kristiansen, Bogdan Franczyk, Bartosz Małkiewicz · 2025 · Lecture notes in business information processing
  58. A Comprehensive Review of the Deep Learning Pipeline for Prostate Cancer Detection and Grading
    Peshawa Muhammad Ali · 2025 · SSRN Electronic Journal
  59. AI in Early Diagnosis and Risk Prediction
    Ankur Vashishtha, Anshu Kumar Singh, Gaurav Kaushik, Prigya Sharma, Vivek Kumar, Salender Singh, Ashok Kumar Sah · 2025 · Advances in computational intelligence and robotics book series
  60. Exploring advancements in the management of penile cancer in the era of artificial intelligence and machine learning: a narrative review
    Rao Nouman Ali, Sohaib Irfan, Adeel Anwaar, Muhammad Shahzad Anwar, Inam Ul Haq, Muhammad Imran Irfan, Muhammad Shafi Ghouri, Wajiha Irfan, Aymar Akilimali · 2026 · Annals of Medicine and Surgery
  61. 63Chapter 4 AI for enhanced cancer detection and diagnosis
    Rishabha Malviya, Shivam Rajput, Mukesh Roy, Sathvik Belagodu Sridhar, Sabin Thomas · 2025 · De Gruyter eBooks
  62. A deep learning model for histopathological diagnosis of actinic keratosis: a diagnostic case control accuracy study
    Julius Balkenhol, Max SCHMIDT, T. Schnauder, Johannes Langhorst, Jean Le’Clerc Arrastia, Daniel Otero Baguer, Georgia Gilbert, Francesco Lacarrubba, Thomas Dirschka, Lutz Schmitz · 2026 · Italian Journal of Dermatology and Venereology
  63. Caractérisation du statut HER2 et du microenvironnement immun dans le cancer colorectal à l’ère des nouveaux ciblages thérapeutiques
    Chloé Molimard · 2024
  64. Valuing Public Sector Data Assets: Methodological Perspectives From the Add-Aspirin Trial’s Use of Healthcare Systems Data for Clinical Follow-Up
    Kang Shu, Mengting Cheng · 2026 · Clinical Oncology
  65. The impact of AI solutions on reducing the administrative and operational burden on medical personnel in the healthcare system
    A. F. Kanev, O. S. Kobyakova, Natalia G. Kurakova, Кармина Раиса Леонидовна · 2026 · Public Health
  66. Nanotechnology-Based Biosensor Development for Prostate Cancer Detection
    Nandani Jayaswal, Sakshi Patel, Saquib Tanweer, Rakesh Sahu · 2026 · Springer eBooks
  67. Overcoming Limitations in Artificial Intelligence‐Based Prostate Cancer Detection With Improved Datasets and a Bayesian Framework for Panel Predictions
    Spencer Hopson, Joshua L. Ebbert, Paul M. Urie, Dennis Della Corte · 2026 · International Journal of Clinical Practice
  68. AI-Driven Innovations in Cancer Care: A Comprehensive Overview
    Jason Li, Hanxian Aw Yeang, Rashindrie Perera · 2026 · Springer eBooks
  69. Artificial Intelligence in Digital Pathology for Prostate Cancer Detection: FDA Clearance and Real-World Implementation
    Quinn Carroll Rainer, Yue Sun, Monika Vyas, Pavel Kopach, Dibson Dibe Gondim, Vidarshi Muthukumarana, Harshwardhan M. Thaker, Vikram Deshpande · 2026 · Journal of Clinical Pathology
  70. AI-assisted TURP slide review: a multi-reader study of efficiency, diagnostic performance, and human–AI error patterns
    C. Brigida Pascarella, M Giobbe, Elisabetta Maffei, Riccardo Ruotolo, Chiara Ciaparrone, Giuseppe Ciancia, Antonio D’Antonio, Paolo Verze, Pio Zeppa, Alessandro Caputo · 2026 · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin
  71. Deep learning-based computational pathology: Technologies, clinical applications, and future directions
    Yunqiu Gao, Teng Ma, Li Li, Yong Ding, Ruiqun Qi, Xiaoyu Cui, Xinghua Gao · 2026 · Chinese Medical Journal
  72. Deployment of Artificial Intelligence in Clinical Oral Pathology: Evidence Summary and Implementation Gaps
    J H Shazia Fathima, Mugundan Raghavelu Narendran, Mohammed Sharique Ahmed Quadri, Thilla Sekar Vinothkumar, KA Kamala, Mohmed Isaqali Karobari · 2026 · Analytical Cellular Pathology
  73. Use of artificial intelligence in the management of cholangiocarcinoma: Current applications, evidence, and future perspectives
    Ahmed Salman, Ahmed Elewa, Ahmed Marwan · 2026 · International Journal of Hepatobiliary and Pancreatic Diseases
  74. Clinical applications of artificial intelligence in genitourinary pathology
    Aidan Li, Anil V. Parwani · 2026 · Molecular Aspects of Medicine
  75. The accuracy–utility gap: Why AI accuracy does not guarantee clinical benefit in digital pathology
    Romina Battiato, Felipe Montoya Silva, Mylene Cabrera Morales, Deyana Salazar Romero, Martín H. Benites · 2026 · Journal of Pathology Informatics