Clinical Information and Decision Making

Text Dialogue Analysis for Primary Screening of Mild Cognitive Impairment: Development and Validation Study

Changyu Wang, Siru Liu, Aiqing Li, Jialin Liu

J Med Internet Res 2023 (Dec 29); 25:e51501

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Empathy and Equity: Key Considerations for Large Language Model Adoption in Health Care

Erica Koranteng, Arya Rao, Efren Flores, Michael Lev, Adam Landman, Keith Dreyer, Marc Succi

JMIR Med Educ 2023 (Dec 28); 9:e51199

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Machine Learning Model for Predicting Mortality Risk in Patients With Complex Chronic Conditions: Retrospective Analysis

Guillem Hernández Guillamet, Ariadna Ning Morancho Pallaruelo, Laura Miró Mezquita, Ramón Miralles, Miquel Àngel Mas, María José Ulldemolins Papaseit, Oriol Estrada Cuxart, Francesc López Seguí

Online J Public Health Inform 2023 (Dec 28); 15:e52782

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Exploring the Potential of ChatGPT-4 in Predicting Refractive Surgery Categorizations: Comparative Study

Aleksandar Ćirković, Toam Katz

JMIR Form Res 2023 (Dec 28); 7:e51798

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Economic Evaluations and Equity in the Use of Artificial Intelligence in Imaging Exams for Medical Diagnosis in People With Skin, Neurological, and Pulmonary Diseases: Protocol for a Systematic Review

Giulia Osório Santana, Rodrigo de Macedo Couto, Rafael Maffei Loureiro, Brunna Carolinne Rocha Silva Furriel, Edna Terezinha Rother, Joselisa Péres Queiroz de Paiva, Lucas Reis Correia

JMIR Res Protoc 2023 (Dec 28); 12:e48544

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Designing Human-Centered AI to Prevent Medication Dispensing Errors: Focus Group Study With Pharmacists

Yifan Zheng, Brigid Rowell, Qiyuan Chen, Jin Yong Kim, Raed Al Kontar, X Jessie Yang, Corey A Lester

JMIR Form Res 2023 (Dec 25); 7:e51921

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Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort Study

Yun Kwan Kim, Ja Hyung Koo, Sun Jung Lee, Hee Seok Song, Minji Lee

J Med Internet Res 2023 (Dec 22); 25:e48244

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NephroCAGE—German-Canadian Consortium on AI for Improved Kidney Transplantation Outcome: Protocol for an Algorithm Development and Validation Study

Matthieu-P Schapranow, Mozhgan Bayat, Aadil Rasheed, Marcel Naik, Verena Graf, Danilo Schmidt, Klemens Budde, Héloïse Cardinal, Ruth Sapir-Pichhadze, Franz Fenninger, Karen Sherwood, Paul Keown, Oliver P Günther, Konstantin D Pandl, Florian Leiser, Scott Thiebes, Ali Sunyaev, Matthias Niemann, Andreas Schimanski, Thomas Klein

JMIR Res Protoc 2023 (Dec 22); 12:e48892

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Effects of Internal and External Factors on Hospital Data Breaches: Quantitative Study

Diane Dolezel, Brad Beauvais, Paula Stigler Granados, Lawrence Fulton, Clemens Scott Kruse

J Med Internet Res 2023 (Dec 21); 25:e51471

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Holistic Human-Serving Digitization of Health Care Needs Integrated Automated System-Level Assessment Tools

Cindy Welzel, Fabienne Cotte, Magdalena Wekenborg, Baptiste Vasey, Peter McCulloch, Stephen Gilbert

J Med Internet Res 2023 (Dec 20); 25:e50158

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Predicting Postoperative Hospital Stays Using Nursing Narratives and the Reverse Time Attention (RETAIN) Model: Retrospective Cohort Study

Sungjoo Han, Yong Bum Kim, Jae Hong No, Dong Hoon Suh, Kidong Kim, Soyeon Ahn

JMIR Med Inform 2023 (Dec 19); 11:e45377

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Reimagining Core Entrustable Professional Activities for Undergraduate Medical Education in the Era of Artificial Intelligence

Sarah Marie Jacobs, Neva Nicole Lundy, Saul Barry Issenberg, Latha Chandran

JMIR Med Educ 2023 (Dec 19); 9:e50903

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Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy: Algorithm Development and Validation

Natarajan Sriraam, S Raghu, Erik D Gommer, Danny M W Hilkman, Yasin Temel, Shyam Vasudeva Rao, Alangar Satyaranjandas Hegde, Pieter L Kubben

JMIR Neurotech 2023 (Dec 19); 2:e50660

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The Evolution of Artificial Intelligence in Biomedicine: Bibliometric Analysis

Jiasheng Gu, Chongyang Gao, Lili Wang

JMIR AI 2023 (Dec 19); 2:e45770

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Clinical Timing-Sequence Warning Models for Serious Bacterial Infections in Adults Based on Machine Learning: Retrospective Study

Jian Liu, Jia Chen, Yongquan Dong, Yan Lou, Yu Tian, Huiyao Sun, Yuqing Jin, Jingsong Li, Yunqing Qiu

J Med Internet Res 2023 (Dec 18); 25:e45515

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Performance Test of a Well-Trained Model for Meningioma Segmentation in Health Care Centers: Secondary Analysis Based on Four Retrospective Multicenter Data Sets

Chaoyue Chen, Yuen Teng, Shuo Tan, Zizhou Wang, Lei Zhang, Jianguo Xu

J Med Internet Res 2023 (Dec 15); 25:e44119

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Identifying Existing Evidence to Potentially Develop a Machine Learning Diagnostic Algorithm for Cough in Primary Care Settings: Scoping Review

Julia Cummerow, Christin Wienecke, Nicola Engler, Philip Marahrens, Philipp Gruening, Jost Steinhäuser

J Med Internet Res 2023 (Dec 14); 25:e46929

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Development of Risk Prediction Models for Severe Periodontitis in a Thai Population: Statistical and Machine Learning Approaches

Htun Teza, Anuchate Pattanateepapon, Attawood Lertpimonchai, Prin Vathesatogkit, Gareth J McKay, John Attia, Ammarin Thakkinstian

JMIR Form Res 2023 (Dec 14); 7:e48351

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A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study

Inger Persson, Adam Grünwald, Ludivine Morvan, David Becedas, Martin Arlbrandt

JMIR Form Res 2023 (Dec 14); 7:e45979

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Caries Detection in Primary Teeth Using Intraoral Scanners Featuring Fluorescence: Protocol for a Diagnostic Agreement Study

Bree Jones, Stavroula Michou, Tong Chen, Margarita Moreno-Betancur, Nicky Kilpatrick, David Burgner, Christoph Vannahme, Mihiri Silva

JMIR Res Protoc 2023 (Dec 14); 12:e51578

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