Decision Support for Health Professionals

Machine Learning Approaches for Predicting Psoriatic Arthritis Risk Using Electronic Medical Records: Population-Based Study

Leon Tsung-Ju Lee, Hsuan-Chia Yang, Phung Anh Nguyen, Muhammad Solihuddin Muhtar, Yu-Chuan Jack Li

J Med Internet Res 2023;25:e39972

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Human-Centered Design to Address Biases in Artificial Intelligence

You Chen, Ellen Wright Clayton, Laurie Lovett Novak, Shilo Anders, Bradley Malin

J Med Internet Res 2023;25:e43251

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Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality

Sooyeon Min, Daun Shin, Sang Jin Rhee, C Hyung Keun Park, Jeong Hun Yang, Yoojin Song, Min Ji Kim, Kyungdo Kim, Won Ik Cho, Oh Chul Kwon, Yong Min Ahn, Hyunju Lee

J Med Internet Res 2023;25:e45456

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Understanding Prospective Physicians’ Intention to Use Artificial Intelligence in Their Future Medical Practice: Configurational Analysis

Gerit Wagner, Louis Raymond, Guy Paré

JMIR Med Educ 2023;9:e45631

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How Natural Language Processing Can Aid With Pulmonary Oncology Tumor Node Metastasis Staging From Free-Text Radiology Reports: Algorithm Development and Validation

Sander Puts, Martijn Nobel, Catharina Zegers, Iñigo Bermejo, Simon Robben, Andre Dekker

JMIR Form Res 2023;7:e38125

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A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study

Elena Williams, Manuel Kienast, Evelyn Medawar, Janis Reinelt, Alberto Merola, Sophie Anne Ines Klopfenstein, Anne Rike Flint, Patrick Heeren, Akira-Sebastian Poncette, Felix Balzer, Julian Beimes, Paul von Bünau, Jonas Chromik, Bert Arnrich, Nico Scherf, Sebastian Niehaus

JMIR Med Inform 2023;11:e43847

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The Effect of Implementation of Guideline Order Bundles Into a General Admission Order Set on Clinical Practice Guideline Adoption: Quasi-Experimental Study

Justine Mrosak, Swaminathan Kandaswamy, Claire Stokes, David Roth, Jenna Gorbatkin, Ishaan Dave, Scott Gillespie, Evan Orenstein

JMIR Med Inform 2023;11:e42736

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Early Triage of Critically Ill Adult Patients With Mushroom Poisoning: Machine Learning Approach

Yuxuan Liu, Xiaoguang Lyu, Bo Yang, Zhixiang Fang, Dejun Hu, Lei Shi, Bisheng Wu, Yong Tian, Enli Zhang, YuanChao Yang

JMIR Form Res 2023;7:e44666

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Computerization of the Work of General Practitioners: Mixed Methods Survey of Final-Year Medical Students in Ireland

Charlotte Blease, Anna Kharko, Michael Bernstein, Colin Bradley, Muiris Houston, Ian Walsh, Kenneth D Mandl

JMIR Med Educ 2023;9:e42639

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Calibrating a Transformer-Based Model’s Confidence on Community-Engaged Research Studies: Decision Support Evaluation Study

Brian Ferrell, Sarah E Raskin, Emily B Zimmerman

JMIR Form Res 2023;7:e41516

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Deep Learning to Detect Pancreatic Cystic Lesions on Abdominal Computed Tomography Scans: Development and Validation Study

Maria Montserrat Duh, Neus Torra-Ferrer, Meritxell Riera-Marín, Dídac Cumelles, Júlia Rodríguez-Comas, Javier García López, Mª Teresa Fernández Planas

JMIR AI 2023;2:e40702

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Electronic Health Record–Based Absolute Risk Prediction Model for Esophageal Cancer in the Chinese Population: Model Development and External Validation

Yuting Han, Xia Zhu, Yizhen Hu, Canqing Yu, Yu Guo, Dong Hang, Yuanjie Pang, Pei Pei, Hongxia Ma, Dianjianyi Sun, Ling Yang, Yiping Chen, Huaidong Du, Min Yu, Junshi Chen, Zhengming Chen, Dezheng Huo, Guangfu Jin, Jun Lv, Zhibin Hu, Hongbing Shen, Liming Li

JMIR Public Health Surveill 2023;9:e43725

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The Effect of Clinical Decision Prompts in Improving Human Papillomavirus Vaccination Rates in a Multispecialty Practice in a Predominantly Hispanic Population: Quasi-Experimental Study

Jennifer Molokwu, Melissa Mendez, Christina Bracamontes

JMIR Cancer 2023;9:e42890

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Developing an Inpatient Electronic Medical Record Phenotype for Hospital-Acquired Pressure Injuries: Case Study Using Natural Language Processing Models

Elvira Nurmambetova, Jie Pan, Zilong Zhang, Guosong Wu, Seungwon Lee, Danielle A Southern, Elliot A Martin, Chester Ho, Yuan Xu, Cathy A Eastwood

JMIR AI 2023;2:e41264

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Unassisted Clinicians Versus Deep Learning–Assisted Clinicians in Image-Based Cancer Diagnostics: Systematic Review With Meta-analysis

Peng Xue, Mingyu Si, Dongxu Qin, Bingrui Wei, Samuel Seery, Zichen Ye, Mingyang Chen, Sumeng Wang, Cheng Song, Bo Zhang, Ming Ding, Wenling Zhang, Anying Bai, Huijiao Yan, Le Dang, Yuqian Zhao, Remila Rezhake, Shaokai Zhang, Youlin Qiao, Yimin Qu, Yu Jiang

J Med Internet Res 2023;25:e43832

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Monitoring the Implementation of Tobacco Cessation Support Tools: Using Novel Electronic Health Record Activity Metrics

Jinying Chen, Sarah L Cutrona, Ajay Dharod, Stephanie C Bunch, Kristie L Foley, Brian Ostasiewski, Erica R Hale, Aaron Bridges, Adam Moses, Eric C Donny, Erin L Sutfin, Thomas K Houston, iDAPT Implementation Science Center for Cancer Control

JMIR Med Inform 2023;11:e43097

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Preparing for an Artificial Intelligence–Enabled Future: Patient Perspectives on Engagement and Health Care Professional Training for Adopting Artificial Intelligence Technologies in Health Care Settings

Tharshini Jeyakumar, Sarah Younus, Melody Zhang, Megan Clare, Rebecca Charow, Inaara Karsan, Azra Dhalla, Dalia Al-Mouaswas, Jillian Scandiffio, Justin Aling, Mohammad Salhia, Nadim Lalani, Scott Overholt, David Wiljer

JMIR AI 2023;2:e40973

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Identification of Postpartum Depression in Electronic Health Records: Validation in a Large Integrated Health Care System

Jeff Slezak, David Sacks, Vicki Chiu, Chantal Avila, Nehaa Khadka, Jiu-Chiuan Chen, Jun Wu, Darios Getahun

JMIR Med Inform 2023;11:e43005

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Analyzing the Predictability of an Artificial Intelligence App (Tibot) in the Diagnosis of Dermatological Conditions: A Cross-sectional Study

Shiva Shankar Marri, Arun C Inamadar, Ajit B Janagond, Warood Albadri

JMIR Dermatol 2023;6:e45529

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Iterative Development, Validation, and Certification of a Smartphone System to Assess Neonatal Jaundice: Development and Usability Study

Anders Aune, Gunnar Vartdal, Gabriela Jimenez Diaz, Lobke Marijn Gierman, Håkon Bergseng, Elisabeth Darj

JMIR Pediatr Parent 2023;6:e40463

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