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• Application of convolutional neural network for analyzing hepatic fibrosis in mice
  Hyun-Ji Kim, Eun Bok Baek, Ji-Hee Hwang, Minyoung Lim, Won Hoon Jung, Myung Ae Bae, Hwa-Young Son, Jae-Woo Cho
  Journal of Toxicologic Pathology.2023; 36(1): 21.     CrossRef
• Artificial intelligence in dentistry—A review
  Hao Ding, Jiamin Wu, Wuyuan Zhao, Jukka P. Matinlinna, Michael F. Burrow, James K. H. Tsoi
  Frontiers in Dental Medicine.2023;[Epub]     CrossRef
• Dental Age Estimation Using the Demirjian Method: Statistical Analysis Using Neural Networks
  Byung-Yoon Roh, Jong-Seok Lee, Sang-Beom Lim, Hye-Won Ryu, Su-Jeong Jeon, Ju-Heon Lee, Yo-Seob Seo, Ji-Won Ryu, Jong-Mo Ahn
  Korean Journal of Legal Medicine.2023; 47(1): 1.     CrossRef
• Automated abstraction of myocardial perfusion imaging reports using natural language processing
  Parija Sharedalal, Ajay Singh, Neal Shah, Diwakar Jain
  Journal of Nuclear Cardiology.2022; 29(3): 1188.     CrossRef
• Polyploid giant cancer cell characterization: New frontiers in predicting response to chemotherapy in breast cancer
  Geetanjali Saini, Shriya Joshi, Chakravarthy Garlapati, Hongxiao Li, Jun Kong, Jayashree Krishnamurthy, Michelle D. Reid, Ritu Aneja
  Seminars in Cancer Biology.2022; 81: 220.     CrossRef
• A Comprehensive Review of Markov Random Field and Conditional Random Field Approaches in Pathology Image Analysis
  Yixin Li, Chen Li, Xiaoyan Li, Kai Wang, Md Mamunur Rahaman, Changhao Sun, Hao Chen, Xinran Wu, Hong Zhang, Qian Wang
  Archives of Computational Methods in Engineering.2022; 29(1): 609.     CrossRef
• Artificial intelligence in oncology: From bench to clinic
  Jamal Elkhader, Olivier Elemento
  Seminars in Cancer Biology.2022; 84: 113.     CrossRef
• Yeast‐like organisms phagocytosed by circulating neutrophils: Evidence of disseminated histoplasmosis
  Yue Zhao, Jenna McCracken, Endi Wang
  International Journal of Laboratory Hematology.2022; 44(1): 51.     CrossRef
• Whole-slide imaging, tissue image analysis, and artificial intelligence in veterinary pathology: An updated introduction and review
  Aleksandra Zuraw, Famke Aeffner
  Veterinary Pathology.2022; 59(1): 6.     CrossRef
• A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches
  Xintong Li, Chen Li, Md Mamunur Rahaman, Hongzan Sun, Xiaoqi Li, Jian Wu, Yudong Yao, Marcin Grzegorzek
  Artificial Intelligence Review.2022; 55(6): 4809.     CrossRef
• Liquid Biopsy and Artificial Intelligence as Tools to Detect Signatures of Colorectal Malignancies: A Modern Approach in Patient’s Stratification
  Octav Ginghina, Ariana Hudita, Marius Zamfir, Andrada Spanu, Mara Mardare, Irina Bondoc, Laura Buburuzan, Sergiu Emil Georgescu, Marieta Costache, Carolina Negrei, Cornelia Nitipir, Bianca Galateanu
  Frontiers in Oncology.2022;[Epub]     CrossRef
• Automated bone marrow cytology using deep learning to generate a histogram of cell types
  Rohollah Moosavi Tayebi, Youqing Mu, Taher Dehkharghanian, Catherine Ross, Monalisa Sur, Ronan Foley, Hamid R. Tizhoosh, Clinton J. V. Campbell
  Communications Medicine.2022;[Epub]     CrossRef
• Risultati di esami di laboratorio per intelligenza artificiale e "machine learning"
  Marco PRADELLA
  La Rivista Italiana della Medicina di Laboratorio.2022;[Epub]     CrossRef
• The Deception of Certainty: how Non-Interpretable Machine Learning Outcomes Challenge the Epistemic Authority of Physicians. A deliberative-relational Approach
  Florian Funer
  Medicine, Health Care and Philosophy.2022; 25(2): 167.     CrossRef
• Deep discriminative learning model with calibrated attention map for the automated diagnosis of diffuse large B-cell lymphoma
  Sautami Basu, Ravinder Agarwal, Vishal Srivastava
  Biomedical Signal Processing and Control.2022; 76: 103728.     CrossRef
• Question and Answer Techniques for Financial Audits in Universities Based on Deep Learning
  Qiang Li, Hangjun Che
  Mathematical Problems in Engineering.2022; 2022: 1.     CrossRef
• Noninvasive Screening Tool for Hyperkalemia Using a Single-Lead Electrocardiogram and Deep Learning: Development and Usability Study
  Erdenebayar Urtnasan, Jung Hun Lee, Byungjin Moon, Hee Young Lee, Kyuhee Lee, Hyun Youk
  JMIR Medical Informatics.2022; 10(6): e34724.     CrossRef
• Impact of artificial intelligence on pathologists’ decisions: an experiment
  Julien Meyer, April Khademi, Bernard Têtu, Wencui Han, Pria Nippak, David Remisch
  Journal of the American Medical Informatics Association.2022; 29(10): 1688.     CrossRef
• Rapid Screening Using Pathomorphologic Interpretation to Detect BRAFV600E Mutation and Microsatellite Instability in Colorectal Cancer
  Satoshi Fujii, Daisuke Kotani, Masahiro Hattori, Masato Nishihara, Toshihide Shikanai, Junji Hashimoto, Yuki Hama, Takuya Nishino, Mizuto Suzuki, Ayatoshi Yoshidumi, Makoto Ueno, Yoshito Komatsu, Toshiki Masuishi, Hiroki Hara, Taito Esaki, Yoshiaki Nakamu
  Clinical Cancer Research.2022; 28(12): 2623.     CrossRef
• Using Deep Learning to Predict Final HER2 Status in Invasive Breast Cancers That are Equivocal (2+) by Immunohistochemistry
  Sean A. Rasmussen, Valerie J. Taylor, Alexi P. Surette, Penny J. Barnes, Gillian C. Bethune
  Applied Immunohistochemistry & Molecular Morphology.2022; 30(10): 668.     CrossRef
• Deep Neural Network for the Prediction of KRAS Genotype in Rectal Cancer
  Waleed M Ghareeb, Eman Draz, Khaled Madbouly, Ahmed H Hussein, Mohammed Faisal, Wagdi Elkashef, Mona Hany Emile, Marcus Edelhamre, Seon Hahn Kim, Sameh Hany Emile
  Journal of the American College of Surgeons.2022; 235(3): 482.     CrossRef
• Next Generation Digital Pathology: Emerging Trends and Measurement Challenges for Molecular Pathology
  Alex Dexter, Dimitrios Tsikritsis, Natalie A. Belsey, Spencer A. Thomas, Jenny Venton, Josephine Bunch, Marina Romanchikova
  Journal of Molecular Pathology.2022; 3(3): 168.     CrossRef
• Animation Design of Multisensor Data Fusion Based on Optimized AVOD Algorithm
  Li Ding, Guobing Wei, Kai Zhang, Gengxin Sun
  Journal of Sensors.2022; 2022: 1.     CrossRef
• Study on Machine Translation Teaching Model Based on Translation Parallel Corpus and Exploitation for Multimedia Asian Information Processing
  Yan Gong
  ACM Transactions on Asian and Low-Resource Language Information Processing.2022;[Epub]     CrossRef
• Analysis and Estimation of Pathological Data and Findings with Deep Learning Methods
  Ahmet Anıl ŞAKIR, Ali Hakan IŞIK, Özlem ÖZMEN, Volkan İPEK
  Mehmet Akif Ersoy Üniversitesi Veteriner Fakültesi Dergisi.2022;[Epub]     CrossRef
• Automated image analysis of keratin 7 staining can predict disease outcome in primary sclerosing cholangitis
  Nelli Sjöblom, Sonja Boyd, Anniina Manninen, Sami Blom, Anna Knuuttila, Martti Färkkilä, Johanna Arola
  Hepatology Research.2022;[Epub]     CrossRef
• Artificial Intelligence in Pathology: Friend or Enemy?
  Selim Sevim, Ezgi Dicle Serbes, Murat Bahadır, Mustafa Said Kartal, Serpil Dizbay Sak
  Journal of Ankara University Faculty of Medicine.2022; 75(1): 13.     CrossRef
• Evaluation Challenges in the Validation of B7-H3 as Oral Tongue Cancer Prognosticator
  Meri Sieviläinen, Anna Maria Wirsing, Aini Hyytiäinen, Rabeia Almahmoudi, Priscila Rodrigues, Inger-Heidi Bjerkli, Pirjo Åström, Sanna Toppila-Salmi, Timo Paavonen, Ricardo D. Coletta, Elin Hadler-Olsen, Tuula Salo, Ahmed Al-Samadi
  Head and Neck Pathology.2021; 15(2): 469.     CrossRef
• Amsterdam International Consensus Meeting: tumor response scoring in the pathology assessment of resected pancreatic cancer after neoadjuvant therapy
  Boris V. Janssen, Faik Tutucu, Stijn van Roessel, Volkan Adsay, Olca Basturk, Fiona Campbell, Claudio Doglioni, Irene Esposito, Roger Feakins, Noriyoshi Fukushima, Anthony J. Gill, Ralph H. Hruban, Jeffrey Kaplan, Bas Groot Koerkamp, Seung-Mo Hong, Alyssa
  Modern Pathology.2021; 34(1): 4.     CrossRef
• Fabrication of ultra-thin 2D covalent organic framework nanosheets and their application in functional electronic devices
  Weikang Wang, Weiwei Zhao, Haotian Xu, Shujuan Liu, Wei Huang, Qiang Zhao
  Coordination Chemistry Reviews.2021; 429: 213616.     CrossRef
• Generalizability of Deep Learning System for the Pathologic Diagnosis of Various Cancers
  Hyun-Jong Jang, In Hye Song, Sung Hak Lee
  Applied Sciences.2021; 11(2): 808.     CrossRef
• Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical center
  Peter J Schüffler, Luke Geneslaw, D Vijay K Yarlagadda, Matthew G Hanna, Jennifer Samboy, Evangelos Stamelos, Chad Vanderbilt, John Philip, Marc-Henri Jean, Lorraine Corsale, Allyne Manzo, Neeraj H G Paramasivam, John S Ziegler, Jianjiong Gao, Juan C Peri
  Journal of the American Medical Informatics Association.2021; 28(9): 1874.     CrossRef
• Translational Applications of Artificial Intelligence and Machine Learning for Diagnostic Pathology in Lymphoid Neoplasms: A Comprehensive and Evolutive Analysis
  Julia Moran-Sanchez, Antonio Santisteban-Espejo, Miguel Angel Martin-Piedra, Jose Perez-Requena, Marcial Garcia-Rojo
  Biomolecules.2021; 11(6): 793.     CrossRef
• Development and operation of a digital platform for sharing pathology image data
  Yunsook Kang, Yoo Jung Kim, Seongkeun Park, Gun Ro, Choyeon Hong, Hyungjoon Jang, Sungduk Cho, Won Jae Hong, Dong Un Kang, Jonghoon Chun, Kyoungbun Lee, Gyeong Hoon Kang, Kyoung Chul Moon, Gheeyoung Choe, Kyu Sang Lee, Jeong Hwan Park, Won-Ki Jeong, Se Yo
  BMC Medical Informatics and Decision Making.2021;[Epub]     CrossRef
• Sliding window based deep ensemble system for breast cancer classification
  Amin Alqudah, Ali Mohammad Alqudah
  Journal of Medical Engineering & Technology.2021; 45(4): 313.     CrossRef
• Artificial intelligence and computational pathology
  Miao Cui, David Y. Zhang
  Laboratory Investigation.2021; 101(4): 412.     CrossRef
• Effects of Image Quantity and Image Source Variation on Machine Learning Histology Differential Diagnosis Models
  Elham Vali-Betts, Kevin J. Krause, Alanna Dubrovsky, Kristin Olson, John Paul Graff, Anupam Mitra, Ananya Datta-Mitra, Kenneth Beck, Aristotelis Tsirigos, Cynthia Loomis, Antonio Galvao Neto, Esther Adler, Hooman H. Rashidi
  Journal of Pathology Informatics.2021; 12(1): 5.     CrossRef
• Feasibility of deep learning‐based fully automated classification of microsatellite instability in tissue slides of colorectal cancer
  Sung Hak Lee, In Hye Song, Hyun‐Jong Jang
  International Journal of Cancer.2021; 149(3): 728.     CrossRef
• Artificial intelligence in healthcare
  Yamini D Shah, Shailvi M Soni, Manish P Patel
  Indian Journal of Pharmacy and Pharmacology.2021; 8(2): 102.     CrossRef
• Proof of Concept for a Deep Learning Algorithm for Identification and Quantification of Key Microscopic Features in the Murine Model of DSS-Induced Colitis
  Agathe Bédard, Thomas Westerling-Bui, Aleksandra Zuraw
  Toxicologic Pathology.2021; 49(4): 897.     CrossRef
• An empirical analysis of machine learning frameworks for digital pathology in medical science
  S.K.B. Sangeetha, R Dhaya, Dhruv T Shah, R Dharanidharan, K. Praneeth Sai Reddy
  Journal of Physics: Conference Series.2021; 1767(1): 012031.     CrossRef
• Application of Single-Cell Approaches to Study Myeloproliferative Neoplasm Biology
  Daniel Royston, Adam J. Mead, Bethan Psaila
  Hematology/Oncology Clinics of North America.2021; 35(2): 279.     CrossRef
• Idiosyncratic Drug-Induced Liver Injury (DILI) and Herb-Induced Liver Injury (HILI): Diagnostic Algorithm Based on the Quantitative Roussel Uclaf Causality Assessment Method (RUCAM)
  Rolf Teschke, Gaby Danan
  Diagnostics.2021; 11(3): 458.     CrossRef
• Searching Images for Consensus
  Hamid R. Tizhoosh, Phedias Diamandis, Clinton J.V. Campbell, Amir Safarpoor, Shivam Kalra, Danial Maleki, Abtin Riasatian, Morteza Babaie
  The American Journal of Pathology.2021; 191(10): 1702.     CrossRef
• Automated Classification and Segmentation in Colorectal Images Based on Self-Paced Transfer Network
  Yao Yao, Shuiping Gou, Ru Tian, Xiangrong Zhang, Shuixiang He, Zhiguo Zhou
  BioMed Research International.2021; 2021: 1.     CrossRef
• Artificial intelligence and sleep: Advancing sleep medicine
  Nathaniel F. Watson, Christopher R. Fernandez
  Sleep Medicine Reviews.2021; 59: 101512.     CrossRef
• Prospective Of Artificial Intelligence: Emerging Trends In Modern Biosciences Research
  Pradeep Kumar, Ajit Kumar Singh Yadav, Abhishek Singh
  IOP Conference Series: Materials Science and Engineering.2021; 1020(1): 012008.     CrossRef
• Use and Control of Artificial Intelligence in Patients Across the Medical Workflow: Single-Center Questionnaire Study of Patient Perspectives
  Simon Lennartz, Thomas Dratsch, David Zopfs, Thorsten Persigehl, David Maintz, Nils Große Hokamp, Daniel Pinto dos Santos
  Journal of Medical Internet Research.2021; 23(2): e24221.     CrossRef
• HEAL: an automated deep learning framework for cancer histopathology image analysis
  Yanan Wang, Nicolas Coudray, Yun Zhao, Fuyi Li, Changyuan Hu, Yao-Zhong Zhang, Seiya Imoto, Aristotelis Tsirigos, Geoffrey I Webb, Roger J Daly, Jiangning Song, Zhiyong Lu
  Bioinformatics.2021; 37(22): 4291.     CrossRef
• A Review of Applications of Artificial Intelligence in Gastroenterology
  Khalid Nawab, Ravi Athwani, Awais Naeem, Muhammad Hamayun, Momna Wazir
  Cureus.2021;[Epub]     CrossRef
• Evaluating Cancer-Related Biomarkers Based on Pathological Images: A Systematic Review
  Xiaoliang Xie, Xulin Wang, Yuebin Liang, Jingya Yang, Yan Wu, Li Li, Xin Sun, Pingping Bing, Binsheng He, Geng Tian, Xiaoli Shi
  Frontiers in Oncology.2021;[Epub]     CrossRef
• Deep learning-based histopathological segmentation for whole slide images of colorectal cancer in a compressed domain
  Hyeongsub Kim, Hongjoon Yoon, Nishant Thakur, Gyoyeon Hwang, Eun Jung Lee, Chulhong Kim, Yosep Chong
  Scientific Reports.2021;[Epub]     CrossRef
• Deep Learning on Oral Squamous Cell Carcinoma Ex Vivo Fluorescent Confocal Microscopy Data: A Feasibility Study
  Veronika Shavlokhova, Sameena Sandhu, Christa Flechtenmacher, Istvan Koveshazi, Florian Neumeier, Víctor Padrón-Laso, Žan Jonke, Babak Saravi, Michael Vollmer, Andreas Vollmer, Jürgen Hoffmann, Michael Engel, Oliver Ristow, Christian Freudlsperger
  Journal of Clinical Medicine.2021; 10(22): 5326.     CrossRef
• A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study
  Sarah N. Dudgeon, Si Wen, Matthew G. Hanna, Rajarsi Gupta, Mohamed Amgad, Manasi Sheth, Hetal Marble, Richard Huang, Markus D. Herrmann, Clifford H. Szu, Darick Tong, Bruce Werness, Evan Szu, Denis Larsimont, Anant Madabhushi, Evangelos Hytopoulos, Weijie
  Journal of Pathology Informatics.2021; 12(1): 45.     CrossRef
• Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students' Perception
  Sotirios Bisdas, Constantin-Cristian Topriceanu, Zosia Zakrzewska, Alexandra-Valentina Irimia, Loizos Shakallis, Jithu Subhash, Maria-Madalina Casapu, Jose Leon-Rojas, Daniel Pinto dos Santos, Dilys Miriam Andrews, Claudia Zeicu, Ahmad Mohammad Bouhuwaish
  Frontiers in Public Health.2021;[Epub]     CrossRef
• Digital/Computational Technology for Molecular Cytology Testing: A Short Technical Note with Literature Review
  Robert Y. Osamura, Naruaki Matsui, Masato Kawashima, Hiroyasu Saiga, Maki Ogura, Tomoharu Kiyuna
  Acta Cytologica.2021; 65(4): 342.     CrossRef
• Advances in Digital Pathology: From Artificial Intelligence to Label-Free Imaging
  Frederik Großerueschkamp, Hendrik Jütte, Klaus Gerwert, Andrea Tannapfel
  Visceral Medicine.2021; 37(6): 482.     CrossRef
• Feasibility of fully automated classification of whole slide images based on deep learning
  Kyung-Ok Cho, Sung Hak Lee, Hyun-Jong Jang
  The Korean Journal of Physiology & Pharmacology.2020; 24(1): 89.     CrossRef
• Same same but different: A Web‐based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations
  Joshua Kubach, Angelika Muhlebner‐Fahrngruber, Figen Soylemezoglu, Hajime Miyata, Pitt Niehusmann, Mrinalini Honavar, Fabio Rogerio, Se‐Hoon Kim, Eleonora Aronica, Rita Garbelli, Samuel Vilz, Alexander Popp, Stefan Walcher, Christoph Neuner, Michael Schol
  Epilepsia.2020; 61(3): 421.     CrossRef
• Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches
  Tahsin Kurc, Spyridon Bakas, Xuhua Ren, Aditya Bagari, Alexandre Momeni, Yue Huang, Lichi Zhang, Ashish Kumar, Marc Thibault, Qi Qi, Qian Wang, Avinash Kori, Olivier Gevaert, Yunlong Zhang, Dinggang Shen, Mahendra Khened, Xinghao Ding, Ganapathy Krishnamu
  Frontiers in Neuroscience.2020;[Epub]     CrossRef
• Artificial intelligence as the next step towards precision pathology
  B. Acs, M. Rantalainen, J. Hartman
  Journal of Internal Medicine.2020; 288(1): 62.     CrossRef
• Introduction to digital pathology and computer-aided pathology
  Soojeong Nam, Yosep Chong, Chan Kwon Jung, Tae-Yeong Kwak, Ji Youl Lee, Jihwan Park, Mi Jung Rho, Heounjeong Go
  Journal of Pathology and Translational Medicine.2020; 54(2): 125.     CrossRef
• Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
  Zeeshan Ahmed, Khalid Mohamed, Saman Zeeshan, XinQi Dong
  Database.2020;[Epub]     CrossRef
• Scoring pleurisy in slaughtered pigs using convolutional neural networks
  Abigail R. Trachtman, Luca Bergamini, Andrea Palazzi, Angelo Porrello, Andrea Capobianco Dondona, Ercole Del Negro, Andrea Paolini, Giorgio Vignola, Simone Calderara, Giuseppe Marruchella
  Veterinary Research.2020;[Epub]     CrossRef
• Current Status of Computational Intelligence Applications in Dermatological Clinical Practice
  Carmen Rodríguez-Cerdeira, José Luís González-Cespón, Roberto Arenas
  The Open Dermatology Journal.2020; 14(1): 6.     CrossRef
• New unified insights on deep learning in radiological and pathological images: Beyond quantitative performances to qualitative interpretation
  Yoichi Hayashi
  Informatics in Medicine Unlocked.2020; 19: 100329.     CrossRef
• Artificial Intelligence in Cardiology: Present and Future
  Francisco Lopez-Jimenez, Zachi Attia, Adelaide M. Arruda-Olson, Rickey Carter, Panithaya Chareonthaitawee, Hayan Jouni, Suraj Kapa, Amir Lerman, Christina Luong, Jose R. Medina-Inojosa, Peter A. Noseworthy, Patricia A. Pellikka, Margaret M. Redfield, Vero
  Mayo Clinic Proceedings.2020; 95(5): 1015.     CrossRef
• Artificial intelligence in oncology
  Hideyuki Shimizu, Keiichi I. Nakayama
  Cancer Science.2020; 111(5): 1452.     CrossRef
• Artificial intelligence and the future of global health
  Nina Schwalbe, Brian Wahl
  The Lancet.2020; 395(10236): 1579.     CrossRef
• The future of pathology is digital
  J.D. Pallua, A. Brunner, B. Zelger, M. Schirmer, J. Haybaeck
  Pathology - Research and Practice.2020; 216(9): 153040.     CrossRef
• Weakly-supervised learning for lung carcinoma classification using deep learning
  Fahdi Kanavati, Gouji Toyokawa, Seiya Momosaki, Michael Rambeau, Yuka Kozuma, Fumihiro Shoji, Koji Yamazaki, Sadanori Takeo, Osamu Iizuka, Masayuki Tsuneki
  Scientific Reports.2020;[Epub]     CrossRef
• The use of artificial intelligence, machine learning and deep learning in oncologic histopathology
  Ahmed S. Sultan, Mohamed A. Elgharib, Tiffany Tavares, Maryam Jessri, John R. Basile
  Journal of Oral Pathology & Medicine.2020; 49(9): 849.     CrossRef
• Convergence of Digital Pathology and Artificial Intelligence Tools in Anatomic Pathology Practice: Current Landscape and Future Directions
  Anil V. Parwani, Mahul B. Amin
  Advances in Anatomic Pathology.2020; 27(4): 221.     CrossRef
• Advances in tissue-based imaging: impact on oncology research and clinical practice
  Arman Rahman, Chowdhury Jahangir, Seodhna M. Lynch, Nebras Alattar, Claudia Aura, Niamh Russell, Fiona Lanigan, William M. Gallagher
  Expert Review of Molecular Diagnostics.2020; 20(10): 1027.     CrossRef
• Current Trends of Artificial Intelligence for Colorectal Cancer Pathology Image Analysis: A Systematic Review
  Nishant Thakur, Hongjun Yoon, Yosep Chong
  Cancers.2020; 12(7): 1884.     CrossRef
• Explainable Machine Learning Model for Predicting GI Bleed Mortality in the Intensive Care Unit
  Farah Deshmukh, Shamel S. Merchant
  American Journal of Gastroenterology.2020; 115(10): 1657.     CrossRef
• Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning
  Hyun-Jong Jang, Ahwon Lee, J Kang, In Hye Song, Sung Hak Lee
  World Journal of Gastroenterology.2020; 26(40): 6207.     CrossRef
• Application of system analysis methods for modeling the development of hand-arm vibration syndrome: problems and approaches to solution
  M P Diakovich, M V Krivov
  Journal of Physics: Conference Series.2020; 1661(1): 012029.     CrossRef
• Histo-ELISA technique for quantification and localization of tissue components
  Zhongmin Li, Silvia Goebel, Andreas Reimann, Martin Ungerer
  Scientific Reports.2020;[Epub]     CrossRef
• Applications of deep learning for the analysis of medical data
  Hyun-Jong Jang, Kyung-Ok Cho
  Archives of Pharmacal Research.2019; 42(6): 492.     CrossRef
• PROMISE CLIP Project: A Retrospective, Multicenter Study for Prostate Cancer that Integrates Clinical, Imaging and Pathology Data
  Jihwan Park, Mi Jung Rho, Yong Hyun Park, Chan Kwon Jung, Yosep Chong, Choung-Soo Kim, Heounjeong Go, Seong Soo Jeon, Minyong Kang, Hak Jong Lee, Sung Il Hwang, Ji Youl Lee
  Applied Sciences.2019; 9(15): 2982.     CrossRef
• Key challenges for delivering clinical impact with artificial intelligence
  Christopher J. Kelly, Alan Karthikesalingam, Mustafa Suleyman, Greg Corrado, Dominic King
  BMC Medicine.2019;[Epub]     CrossRef
• Deep Learning for Whole Slide Image Analysis: An Overview
  Neofytos Dimitriou, Ognjen Arandjelović, Peter D. Caie
  Frontiers in Medicine.2019;[Epub]     CrossRef
• Barriers to Artificial Intelligence Adoption in Healthcare Management: A Systematic Review
  Mir Mohammed Assadullah
  SSRN Electronic Journal .2019;[Epub]     CrossRef