JMIR AI

Keyphrases

Publications

volume 3, 2024

Cheng Pan, Hao Luo, Gary Cheung, Huiquan Zhou, Reynold Cheng, Sarah Cullum, Chuan Wu
Identifying Frailty in Older Adults Receiving Home Care Assessment Using Machine Learning: Longitudinal Observational Study on the Role of Classifier, Feature Selection, and Sample Size. JMIR AI 3 (2024)
Wilson Wen Bin Goh, Kendrick Ya Chia, Max F K Cheung, Kalya M Kee, May Oo Lwin, Peter Johannes Schulz, Minhu Chen, Kaichun Wu, Simon Siu Man Ng, Rashid Nok-Shun Lui, Tiing-Leong Ang, Khay-Guan Yeoh, Han-Mo Chiu, Deng-Chyang Wu, Joseph Jao Yiu Sung
Risk Perception, Acceptance, and Trust of Using AI in Gastroenterology Practice in the Asia-Pacific Region: Web-Based Survey Study. JMIR AI 3 (2024)
Methun Kamruzzaman, Jack Heavey, Alexander Song, Matthew Bielskas, Parantapa Bhattacharya, Gregory R Madden, Eili Y Klein, Xinwei Deng, Anil Kumar S Vullikanti
Improving Risk Prediction of Methicillin-Resistant Staphylococcus aureus Using Machine Learning Methods With Network Features: Retrospective Development Study. JMIR AI 3 (2024)
Fagen Xie, Jenny Chang, Tiffany Q Luong, Bechien U Wu, Eva Lustigova, Eva Shrader, Wansu Chen
Identifying Symptoms Prior to Pancreatic Ductal Adenocarcinoma Diagnosis in Real-World Care Settings: Natural Language Processing Approach. JMIR AI 3 (2024)
Muhammad Atif Waheed, Lu Liu
Perceptions of Family Physicians About Applying AI in Primary Health Care: Case Study From a Premier Health Care Organization. JMIR AI 3 (2024)
Muhammad Atif Waheed, Lu Liu
Perceptions of Family Physicians About Applying AI in Primary Health Care: Case Study From a Premier Health Care Organization. JMIR AI 3 (2024)
Fagen Xie, Jenny Chang, Tiffany Q Luong, Bechien U Wu, Eva Lustigova, Eva Shrader, Wansu Chen
Identifying Symptoms Prior to Pancreatic Ductal Adenocarcinoma Diagnosis in Real-World Care Settings: Natural Language Processing Approach. JMIR AI 3 (2024)
Masao Noda, Hidekane Yoshimura, Takuya Okubo, Ryota Koshu, Yuki Uchiyama, Akihiro Nomura, Makoto Ito, Yutaka Takumi
Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation. JMIR AI 3 (2024)
Jiahui Lu, Huibin Zhang, Yi Xiao, Yingyu Wang
An Environmental Uncertainty Perception Framework for Misinformation Detection and Spread Prediction in the COVID-19 Pandemic: Artificial Intelligence Approach. JMIR AI 3 (2024)
Chao Yan, Ziqi Zhang, Steve Nyemba, Zhuohang Li
Generating Synthetic Electronic Health Record Data Using Generative Adversarial Networks: Tutorial. JMIR AI 3 (2024)
Roupen Odabashian, Donald J Bastin, Georden Jones, Maria Manzoor, Sina Tangestaniapour, Malke Asaad, Maritsa Odabashian, Sharon F McGee
Assessment of ChatGPT-3.5's Knowledge in Oncology: Comparative Study with ASCO-SEP Benchmarks. JMIR AI 3 (2024)
Danissa V Rodriguez, Ji Chen, Ratnalekha V N Viswanadham, Katharine Lawrence, Devin M Mann
Leveraging Machine Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabetes Prevention Program: Evaluation Study. JMIR AI 3 (2024)
Lotte J S Ewals, Lynn J J Heesterbeek, Bin Yu, Kasper van der Wulp, Dimitrios Mavroeidis, Mathias Funk, Chris C P Snijders, Igor Jacobs, Joost Nederend, Jon R Pluyter, null null
The Impact of Expectation Management and Model Transparency on Radiologists' Trust and Utilization of AI Recommendations for Lung Nodule Assessment on Computed Tomography: Simulated Use Study. JMIR AI 3 (2024)
Cheng Pan, Hao Luo, Gary Cheung, Huiquan Zhou, Reynold Cheng, Sarah Cullum, Chuan Wu
Identifying Frailty in Older Adults Receiving Home Care Assessment Using Machine Learning: Longitudinal Observational Study on the Role of Classifier, Feature Selection, and Sample Size. JMIR AI 3 (2024)
Majdi Quttainah, Vinaytosh Mishra, Somayya Madakam, Yotam Lurie, Shlomo Mark
Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability Framework for Safe and Effective Large Language Models in Medical Education: Narrative Review and Qualitative Study. JMIR AI 3 (2024)
Leeann Nicole Siegel, Kara P Wiseman, Alexandra Budenz, Yvonne M Prutzman
Identifying Patterns of Smoking Cessation App Feature Use That Predict Successful Quitting: Secondary Analysis of Experimental Data Leveraging Machine Learning. JMIR AI 3 (2024)
Max Rollwage, Johanna Habicht, Keno Juechems, Ben Carrington, Sruthi Viswanathan, Mona Stylianou, Tobias U Hauser, Ross Harper
Correction: Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study. JMIR AI 3 (2024)
Felix Brann, Nicholas William Sterling, Stephanie O Frisch, Justin David Schrager
Sepsis Prediction at Emergency Department Triage Using Natural Language Processing: Retrospective Cohort Study. JMIR AI 3 (2024)
Nicole M Racine, Cheryl H T Chow, Lojain Hamwi, Oana Bucsea, Carol Cheng, Hang Du, Lorenzo Fabrizi, Sara Jasim, Lesley Johannsson, Laura Jones, Maria Pureza Laudiano-Dray, Judith Meek, Neelum Mistry, Vibhuti S Shah, Ian Stedman, Xiaogang Wang, Rebecca Pillai Riddell
Health Care Professionals' and Parents' Perspectives on the Use of AI for Pain Monitoring in the Neonatal Intensive Care Unit: Multisite Qualitative Study. JMIR AI 3 (2024)
Fumi Irie, Koutarou Matsumoto, Ryu Matsuo, Yasunobu Nohara, Yoshinobu Wakisaka, Tetsuro Ago, Naoki Nakashima, Takanari Kitazono, Masahiro Kamouchi
Predictive Performance of Machine Learning-Based Models for Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational Study. JMIR AI 3 (2024)
Zoltan P Majdik, S Scott Graham, Jade C Shiva Edward, Sabrina N Rodriguez, Martha Sue Karnes, Jared T Jensen, Joshua B Barbour, Justin F Rousseau
Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study. JMIR AI 3 (2024)
Joshua A Young, Chin-Wen Chang, Charles W Scales, Saurabh V Menon, Chantal E Holy, Caroline Adrienne Blackie
Machine Learning Methods Using Artificial Intelligence Deployed on Electronic Health Record Data for Identification and Referral of At-Risk Patients From Primary Care Physicians to Eye Care Specialists: Retrospective, Case-Controlled Study. JMIR AI 3 (2024)
Fumi Irie, Koutarou Matsumoto, Ryu Matsuo, Yasunobu Nohara, Yoshinobu Wakisaka, Tetsuro Ago, Naoki Nakashima, Takanari Kitazono, Masahiro Kamouchi
Predictive Performance of Machine Learning-Based Models for Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational Study. JMIR AI 3 (2024)
Boya Zhang, Nona Naderi, Rahul Mishra, Douglas Teodoro
Online Health Search Via Multidimensional Information Quality Assessment Based on Deep Language Models: Algorithm Development and Validation. JMIR AI 3 (2024)
Daniela Wiepert, Bradley A Malin, Joseph R Duffy, Rene L Utianski, John L Stricker, David T Jones, Hugo Botha
Reidentification of Participants in Shared Clinical Data Sets: Experimental Study. JMIR AI 3 (2024)
Joe Li, Peter Yigitcan Washington
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study. JMIR AI 3 (2024)
Joe Li, Peter Yigitcan Washington
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study. JMIR AI 3 (2024)
Danissa V Rodriguez, Ji Chen, Ratnalekha V N Viswanadham, Katharine Lawrence, Devin M Mann
Leveraging Machine Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabetes Prevention Program: Evaluation Study. JMIR AI 3 (2024)
Daniela Wiepert, Bradley A Malin, Joseph R Duffy, Rene L Utianski, John L Stricker, David T Jones, Hugo Botha
Reidentification of Participants in Shared Clinical Data Sets: Experimental Study. JMIR AI 3 (2024)
Lukas Weidener, Michael Fischer
Role of Ethics in Developing AI-Based Applications in Medicine: Insights From Expert Interviews and Discussion of Implications. JMIR AI 3 (2024)
Boya Zhang, Nona Naderi, Rahul Mishra, Douglas Teodoro
Online Health Search Via Multidimensional Information Quality Assessment Based on Deep Language Models: Algorithm Development and Validation. JMIR AI 3 (2024)
Leeann Nicole Siegel, Kara P Wiseman, Alexandra Budenz, Yvonne M Prutzman
Identifying Patterns of Smoking Cessation App Feature Use That Predict Successful Quitting: Secondary Analysis of Experimental Data Leveraging Machine Learning. JMIR AI 3 (2024)
Lotte J S Ewals, Lynn J J Heesterbeek, Bin Yu, Kasper van der Wulp, Dimitrios Mavroeidis, Mathias Funk, Chris C P Snijders, Igor Jacobs, Joost Nederend, Jon R Pluyter, null null
The Impact of Expectation Management and Model Transparency on Radiologists' Trust and Utilization of AI Recommendations for Lung Nodule Assessment on Computed Tomography: Simulated Use Study. JMIR AI 3 (2024)
Wilson Wen Bin Goh, Kendrick Ya Chia, Max F K Cheung, Kalya M Kee, May Oo Lwin, Peter Johannes Schulz, Minhu Chen, Kaichun Wu, Simon Siu Man Ng, Rashid Nok-Shun Lui, Tiing-Leong Ang, Khay-Guan Yeoh, Han-Mo Chiu, Deng-Chyang Wu, Joseph Jao Yiu Sung
Risk Perception, Acceptance, and Trust of Using AI in Gastroenterology Practice in the Asia-Pacific Region: Web-Based Survey Study. JMIR AI 3 (2024)
Majdi Quttainah, Vinaytosh Mishra, Somayya Madakam, Yotam Lurie, Shlomo Mark
Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability Framework for Safe and Effective Large Language Models in Medical Education: Narrative Review and Qualitative Study. JMIR AI 3 (2024)
Mohammad Hammoud, Shahd Douglas, Mohamad Darmach, Sara Alawneh, Swapnendu Sanyal, Youssef Kanbour
Evaluating the Diagnostic Performance of Symptom Checkers: Clinical Vignette Study. JMIR AI 3 (2024)
Runze Yan, Xinwen Liu, Janine M Dutcher, Michael J Tumminia, Daniella K Villalba, Sheldon Cohen, John D Creswell, Kasey G Creswell, Jennifer Mankoff, Anind K Dey, Afsaneh Doryab
Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study. JMIR AI 3 (2024)
Julian Späth, Zeno Sewald, Niklas Probul, Magali Berland, Mathieu Almeida, Nicolas Pons, Emmanuelle Le Chatelier, Pere Ginès, Cristina Solé, Adrià Juanola, Josch Konstantin Pauling, Jan Baumbach
Privacy-Preserving Federated Survival Support Vector Machines for Cross-Institutional Time-To-Event Analysis: Algorithm Development and Validation. JMIR AI 3 (2024)
Alexis Jordan, Albert Park
Understanding the Long Haulers of COVID-19: Mixed Methods Analysis of YouTube Content. JMIR AI 3 (2024)
Tahsin Mullick, Sam Shaaban, Ana Radovic, Afsaneh Doryab
Framework for Ranking Machine Learning Predictions of Limited, Multimodal, and Longitudinal Behavioral Passive Sensing Data: Combining User-Agnostic and Personalized Modeling. JMIR AI 3 (2024)
Paul Sebo
What Is the Performance of ChatGPT in Determining the Gender of Individuals Based on Their First and Last Names? JMIR AI 3 (2024)
Kassandra Karpathakis, Emma Pencheon, Dominic Cushnan
Learning From International Comparators of National Medical Imaging Initiatives for AI Development: Multiphase Qualitative Study. JMIR AI 3 (2024)
Lukas Weidener, Michael Fischer
Role of Ethics in Developing AI-Based Applications in Medicine: Insights From Expert Interviews and Discussion of Implications. JMIR AI 3 (2024)
Nicola Luigi Bragazzi, Sergio Garbarino
Toward Clinical Generative AI: Conceptual Framework. JMIR AI 3 (2024)
Jiahui Lu, Huibin Zhang, Yi Xiao, Yingyu Wang
An Environmental Uncertainty Perception Framework for Misinformation Detection and Spread Prediction in the COVID-19 Pandemic: Artificial Intelligence Approach. JMIR AI 3 (2024)
Steffan Holst Hansen, Carl Joakim Brandt, Jens Soendergaard
Beyond the Hype-The Actual Role and Risks of AI in Today's Medical Practice: Comparative-Approach Study. JMIR AI 3 (2024)
Joshua A Young, Chin-Wen Chang, Charles W Scales, Saurabh V Menon, Chantal E Holy, Caroline Adrienne Blackie
Machine Learning Methods Using Artificial Intelligence Deployed on Electronic Health Record Data for Identification and Referral of At-Risk Patients From Primary Care Physicians to Eye Care Specialists: Retrospective, Case-Controlled Study. JMIR AI 3 (2024)
Steffan Holst Hansen, Carl Joakim Brandt, Jens Soendergaard
Beyond the Hype-The Actual Role and Risks of AI in Today's Medical Practice: Comparative-Approach Study. JMIR AI 3 (2024)
Kassandra Karpathakis, Emma Pencheon, Dominic Cushnan
Learning From International Comparators of National Medical Imaging Initiatives for AI Development: Multiphase Qualitative Study. JMIR AI 3 (2024)
Roupen Odabashian, Donald J Bastin, Georden Jones, Maria Manzoor, Sina Tangestaniapour, Malke Asaad, Maritsa Odabashian, Sharon F McGee
Assessment of ChatGPT-3.5's Knowledge in Oncology: Comparative Study with ASCO-SEP Benchmarks. JMIR AI 3 (2024)