Translational AI and Deep Learning in Diagnostic Pathology

Cited by (271)

Items 101–200 of 271

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6. Generalizability of Deep Learning System for the Pathologic Diagnosis of Various Cancers
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8. Deep learning for automatic diagnosis of gastric dysplasia using whole-slide histopathology images in endoscopic specimens
   Zhongyue Shi, Chuang Zhu, Yu Zhang, Yakun Wang, Weihua Hou, Xue Li, Jun Lu, Xinmeng Guo, Feng Xu, Xingran Jiang et al. · 2022 · Gastric Cancer
9. Automation in Hospitals and Health Care
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10. Using Deep Learning Artificial Intelligence Algorithms to Verify N-Nitroso-N-Methylurea and Urethane Positive Control Proliferative Changes in Tg-RasH2 Mouse Carcinogenicity Studies
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11. Computational Analysis of Pathological Image Enables Interpretable Prediction for Microsatellite Instability
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12. Heterogeneity of the tumor immune microenvironment and clinical interventions
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13. Artificial intelligence technologies empowering identification of novel diagnostic molecular markers in gastric cancer
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14. AI in Health Science: A Perspective
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15. The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures
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16. An update on computational pathology tools for genitourinary pathology practice: A review paper from the Genitourinary Pathology Society (GUPS)
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17. Deep learning methods for improving the accuracy and efficiency of pathological image analysis
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18. Computational Pipeline for Glomerular Segmentation and Association of the Quantified Regions with Prognosis of Kidney Function in IgA Nephropathy
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19. A Deep Learning Based Approach to Predict Lung Cancer from Histopathological Images
    Rahul Deb Mohalder, Juliet Polok Sarkar, Khandkar Asif Hossain, Laboni Paul, M. Raihan · 2021 · 2021 International Conference on Electronics, Communications and Information Technology (ICECIT)
20. Artificial Intelligence in Histopathology
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21. Digital Versus Optical Diagnosis of Follicular Patterned Thyroid Lesions
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22. HistomicsTK: A Python toolkit for pathology image analysis algorithms
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23. Which data subset should be augmented for deep learning? a simulation study using urothelial cell carcinoma histopathology images
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24. RCKD: Response-Based Cross-Task Knowledge Distillation for Pathological Image Analysis
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25. Building Efficient CNN Architectures for Histopathology Images Analysis: A Case-Study in Tumor-Infiltrating Lymphocytes Classification
    André L. S. Meirelles, Tahsin Kurç, Jun Kong, Renato Ferreira, Joel Haskin Saltz, George Teodoro · 2022 · Frontiers in Medicine
26. Responding to the healthcare workforce shortage: A scoping review exploring anatomical pathologists' professional identities over time
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27. Reporting of Artificial Intelligence Diagnostic Accuracy Studies in Pathology Abstracts: Compliance with STARD for Abstracts Guidelines
    Clare McGenity, Patrick M. Bossuyt, Darren E. Treanor · 2022 · Journal of Pathology Informatics
28. Advancements in Cardiotoxicity Detection and Assessment through Artificial Intelligence: A Comprehensive Review
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29. An Overview of Artificial Intelligence in Gynaecological Pathology Diagnostics
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30. Can Deep Learning Hit a Moving Target? A Scoping Review of Its Role to Study Neurological Disorders in Children
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31. Osteoid Metaplasia in Femoral Artery Plaques Is Associated With the Clinical Severity of Lower Extremity Artery Disease in Men
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32. Characterizing Immune Responses in Whole Slide Images of Cancer With Digital Pathology and Pathomics
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33. Immunoinformatics: Pushing the boundaries of immunology research and medicine
    Miyo K. Chatanaka, Antigona Ulndreaj, Dorsa Sohaei, Ioannis Prassas · 2021 · ImmunoInformatics
34. Total product lifecycle regulatory considerations and recommendations for generative AI-enabled medical devices
    Armoundas, Antonis A, Singh, Jagmeet P · 2026 · European Heart Journal - Digital Health
35. Non-genetic factors determine deep learning identified ECG differences between black and white healthy subjects
    Sandeep Chandra Bollepalli, Eric M. Isselbacher, Jagmeet P. Singh, Antonis A. Armoundas · 2025 · npj Cardiovascular Health
36. Self-supervised deep learning for highly efficient spatial immunophenotyping
    Hanyun Zhang, Khalid AbdulJabbar, Tami Grunewald, Ayse U. Akarca, Yeman Brhane Hagos, Faranak Sobhani, Catherine S.Y. Lecat, Dominic Patel, Lydia S.H. Lee, Manuel Rodriguez‐Justo et al. · 2023 · EBioMedicine
37. Model Fooling Attacks Against Medical Imaging: A Short Survey
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38. A ‘Real-Life’ Experience on Automated Digital Image Analysis of FGFR2 Immunohistochemistry in Breast Cancer
    Marcin Braun, Dominika Piasecka, Mateusz Bobrowski, Radzisław Kordek, Rafał Sądej, Hanna Romańska · 2020 · Diagnostics
39. Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology
    Alex Foote, Amina Asif, Ayesha S Azam, Tim Marshall-Cox, Nasir Rajpoot, Fayyaz Minhas · 2021 · arXiv (Cornell University)
40. The current use of artificial intelligence in testicular cancer: a systematic review
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41. Advances in Liver Tumour Diagnosis and Treatment: Etiology, Classification, and the Emerging Role of Machine Learning
    Yana Gaur, Abhay Chaudhary, Ajith Abraham · 2025 · IEEE Access
42. Modern Methods and Prospects for Using Artificial Intelligence in Disease Diagnostics: A Narrative Review
    Rayisa Yuriy, Olha Тatarina, Valery Kaminskyy, Tetyana M. Silina, Liudmyla Bashkirova · 2024 · Futurity Medicine.
43. Digital/Computational Technology for Molecular Cytology Testing: A Short Technical Note with Literature Review
    Robert Yoshiyuki OSAMURA, Naruaki Matsui, Masato Kawashima, Hiroyasu Saiga, Maki Ogura, Tomoharu Kiyuna · 2021 · Acta Cytologica
44. Artificial Intelligence in Anatomic Pathology
    Joshua Levy, Louis Joseph Vaickus · 2021 · Advances in Molecular Pathology
45. Identification of white blood cells for the diagnosis of acute myeloid leukemia
    Reena M. Roy, P. M. Ameer · 2022 · International Journal of Imaging Systems and Technology
46. Artificial Intelligence in Translational Medicine
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47. Medical Students’ Perception Toward Using AI in Medical Education in the Kurdistan Region, Iraq: A Cross-Sectional Study
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48. MedAI-SciTS: Enhancing Interdisciplinary Collaboration between AI Researchers and Medical Experts
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49. A Review of Advanced Deep Learning Methods of Multi-Target Segmentation for Breast Cancer WSIs
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50. Spatially aware transformer networks for contextual prediction of diabetic nephropathy progression from whole slide images
    Benjamin Shickel, Nicholas Lucarelli, Adish S. Rao, Donghwan Yun, Kyung Chul Moon, Han Seung Seok, Pinaki Sarder · 2023 · SPIE Medical Imaging: Digital and Computational Pathology
51. Comparative analysis of feature-based ML and CNN for binucleated erythroblast quantification in myelodysplastic syndrome patients using imaging flow cytometry data
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52. Computational clustering reveals differentiated coronary artery calcium progression at prevalent levels of pulse wave velocity by classifying high-risk patients
    Maximo Rousseau Portalis, Leandro J. Cymberknop, Ignacio Farro, Ricardo L. Armentano · 2023 · Frontiers in Cardiovascular Medicine
53. Cell projection plots: A novel visualization of bone marrow aspirate cytology
    Taher Dehkharghanian, Youqing Mu, Catherine A. Ross, Monalisa Sur, Hamid R. Tizhoosh, Clinton J.V. Campbell · 2023 · Journal of Pathology Informatics
54. Application of Single-Cell Approaches to Study Myeloproliferative Neoplasm Biology
    Daniel J. Royston, Adam J. Mead, Bethan Psaila · 2021 · Hematology/Oncology Clinics of North America
55. Everything Is Faster: How Do Land-Grant University–Based Plant Diagnostic Laboratories Keep Up with a Rapidly Changing World?
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56. Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection
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57. Building a literature knowledge base towards transparent biomedical AI
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58. Synergies and Challenges in the Preclinical and Clinical Implementation of Pathology Artificial Intelligence Applications
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59. Predicting lymph node metastasis in colorectal cancer using case-level multiple instance learning
    Lingfeng Zou, Xuan-Bing Wang, Jing-Wen Li, Xin Ouyang, Yi-Ying Luo, Yan Luo, Cheng-Long Wang · 2026 · World Journal of Gastroenterology
60. Traditional Chinese Medicine Modernization in Diagnosis and Treatment: Utilizing Artificial Intelligence and Nanotechnology
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61. Transforming Gastric Biopsy Diagnostics: Integrating Omics Technologies and Artificial Intelligence
    Nasar Alwahaibi · 2026 · Biomedicines
62. Between Generating Noise and Generating Images: Noise in the Correct Frequency Improves the Quality of Synthetic Histopathology Images for Digital Pathology
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63. Algorithm-assisted diagnosis of Hirschsprung’s disease – evaluation of robustness and comparative image analysis on data from various labs and slide scanners
    Ariel Greenberg, Benzion Samueli, Shai Farkash, Yaniv Zohar, Shahar Ish-Shalom, Rami R. Hagege, Dov Hershkovitz · 2024 · Diagnostic Pathology
64. Automated Detection of Portal Fields and Central Veins in Whole-Slide Images of Liver Tissue
    Daniel Budelmann, Hendrik Laue, Nick Weiss, Uta Dahmen, Lorenza A. D’Alessandro, Ina Biermayer, Ursula Klingmüller, Ahmed Ghallab, Reham A. R. A. Hassan, Brigitte Begher‐Tibbe et al. · 2022 · Journal of Pathology Informatics
65. Bridging the Clinical-Computational Transparency Gap in Digital Pathology
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66. Artificial Intelligence
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67. Point-of-Care MRI with Artificial Intelligence to Measure Midline Shift in Acute Stroke Follow-Up
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68. Deep Learning-based Modeling for Preclinical Drug Safety Assessment
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69. The Impact of Artificial Intelligence on Diagnostic Medicine
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70. Development and clinical validation of deep learning-based immunohistochemistry prediction models for subtyping and staging of gastrointestinal cancers
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71. Advances and Challenges in Deep Learning for Acoustic Pathology Detection: A Review
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72. Novel Pathologic Factors for Risk Stratification of Gastric “Indefinite for Dysplasia” Lesions
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73. A novel cost function for nuclei segmentation and classification in imbalanced histopathology data-sets
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74. Technological Innovation Adoption Among Swedish Healthcare Professionals: A Contingency Technology Adoption Framework
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75. Eosinophil count in cecal biopsies using artificial intelligence‐based machine learning
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76. Computational Pathology for Brain Disorders
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77. Patients and Slides are Equal: A Multi-level Multi-instance Learning Framework for Pathological Image Analysis
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78. A comparative study on machine learning-based classification to find photothrombotic lesion in histological rabbit brain images
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79. Legal Consideration in Implementing Artificial Intelligence when Dealing with Patients in Healthcare Services
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80. The emergence of new trends in clinical laboratory diagnosis
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81. Convolutional Neuronal Networks for Tumor Regions Detection in Histopathology Images
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82. Correlation of manual semi-quantitative and automated quantitative Ki-67 proliferative index with OncotypeDXTM recurrence score in invasive breast carcinoma
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83. Artificial Intelligence and Machine Learning in Integrated Diagnostic
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84. Generalisation and reliability of deep learning for digital pathology in a clinical setting
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86. The Beginning of a New Era
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87. Use of quality checks and processes across digital histopathology: an initial survey from the Bigpicture consortium
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88. The future of computational pathology: expectations regarding the anticipated role of artificial intelligence in pathology by 2030
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89. DLCNBC-SA: a model for assessing axillary lymph node metastasis status in early breast cancer patients
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90. Artificial Intelligence in the Biomedical Field
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91. Automated determination of tumor cell percentages in whole slide images: A nuclear classification study for molecular pathology tests
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93. AI-Based Fall Prevention and Monitoring Systems for Aged Adults in Residential Care Facilities
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