2024

Vol. 3 (2024)

Previous volume Next volume

Back to all issues

Download Citations: END BibTex RIS | View PDF

Foundations of AI

View E-collection for ‘Foundations of AI’

View image

Learning From International Comparators of National Medical Imaging Initiatives for AI Development: Multiphase Qualitative Study

Kassandra Karpathakis, Emma Pencheon, Dominic Cushnan

JMIR AI 2024 (Jan 04); 3:e51168

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image

Predictive Performance of Machine Learning–Based Models for Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational Study

Fumi Irie, Koutarou Matsumoto, Ryu Matsuo, Yasunobu Nohara, Yoshinobu Wakisaka, Tetsuro Ago, Naoki Nakashima, Takanari Kitazono, Masahiro Kamouchi

JMIR AI 2024 (Jan 11); 3:e46840

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image

Identifying Symptoms Prior to Pancreatic Ductal Adenocarcinoma Diagnosis in Real-World Care Settings: Natural Language Processing Approach

Fagen Xie, Jenny Chang, Tiffany Luong, Bechien Wu, Eva Lustigova, Eva Shrader, Wansu Chen

JMIR AI 2024 (Jan 15); 3:e51240

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image

Sepsis Prediction at Emergency Department Triage Using Natural Language Processing: Retrospective Cohort Study

Felix Brann, Nicholas William Sterling, Stephanie O Frisch, Justin D Schrager

JMIR AI 2024 (Jan 25); 3:e49784

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image

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

Cheng Pan, Hao Luo, Gary Cheung, Huiquan Zhou, Reynold Cheng, Sarah Cullum, Chuan Wu

JMIR AI 2024 (Jan 31); 3:e44185

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Applications of AI

View E-collection for ‘Applications of AI’

View image

Assessment of ChatGPT-3.5's Knowledge in Oncology: Comparative Study with ASCO-SEP Benchmarks

Roupen Odabashian, Donald Bastin, Georden Jones, Maria Manzoor, Sina Tangestaniapour, Malke Assad, Sunita Lakhani, Maritsa Odabashian, Sharon McGee

JMIR AI 2024 (Jan 12); 3:e50442

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image

Health Care Professionals’ and Parents’ Perspectives on the Use of AI for Pain Monitoring in the Neonatal Intensive Care Unit: Multisite Qualitative Study

Nicole Racine, Cheryl 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 Shah, Ian Stedman, Xiaogang Wang, Rebecca Pillai Riddell

JMIR AI 2024 (Feb 09); 3:e51535

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image

Leveraging Machine Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabetes Prevention Program: Evaluation Study

Danissa V Rodriguez, Ji Chen, Ratnalekha V N Viswanadham, Katharine Lawrence, Devin Mann

JMIR AI 2024 (Mar 01); 3:e47122

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image

Risk Perception, Acceptance, and Trust of Using AI in Gastroenterology Practice in the Asia-Pacific Region: Web-Based Survey Study

Wilson WB Goh, Kendrick YA Chia, Max FK Cheung, Kalya M Kee, May O Lwin, Peter J Schulz, Minhu Chen, Kaichun Wu, Simon SM Ng, Rashid Lui, Tiing Leong Ang, Khay Guan Yeoh, Han-mo Chiu, Deng-chyang Wu, Joseph JY Sung

JMIR AI 2024 (Mar 07); 3:e50525

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image

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

Joshua A Young, Chin-Wen Chang, Charles W Scales, Saurabh V Menon, Chantal E Holy, Caroline Adrienne Blackie

JMIR AI 2024 (Mar 12); 3:e48295

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image

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

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, e/MTIC Oncology group

JMIR AI 2024 (Mar 13); 3:e52211

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image

What Is the Performance of ChatGPT in Determining the Gender of Individuals Based on Their First and Last Names?

Paul Sebo

JMIR AI 2024 (Mar 13); 3:e53656

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image

Reidentification of Participants in Shared Clinical Data Sets: Experimental Study

Daniela Wiepert, Bradley A Malin, Joseph R Duffy, Rene L Utianski, John L Stricker, David T Jones, Hugo Botha

JMIR AI 2024 (Mar 15); 3:e52054

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image

Perceptions of Family Physicians About Applying AI in Primary Health Care: Case Study From a Premier Health Care Organization

Muhammad Atif Waheed, Lu Liu

JMIR AI 2024 (Apr 17); 3:e40781

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image

Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study

Runze Yan, Xinwen Liu, Janine M Dutcher, Michael J Tumminia, Daniella Villalba, Sheldon Cohen, John D Creswell, Kasey Creswell, Jennifer Mankoff, Anind K Dey, Afsaneh Doryab

JMIR AI 2024 (Apr 18); 3:e47194

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Ethical, Legal, and Social Issues in AI

View E-collection for ‘Ethical, Legal, and Social Issues in AI’

View image

Role of Ethics in Developing AI-Based Applications in Medicine: Insights From Expert Interviews and Discussion of Implications

Lukas Weidener, Michael Fischer

JMIR AI 2024 (Jan 12); 3:e51204

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image

Beyond the Hype—The Actual Role and Risks of AI in Today’s Medical Practice: Comparative-Approach Study

Steffan Hansen, Carl Joakim Brandt, Jens Søndergaard

JMIR AI 2024 (Jan 22); 3:e49082

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

View image

An Environmental Uncertainty Perception Framework for Misinformation Detection and Spread Prediction in the COVID-19 Pandemic: Artificial Intelligence Approach

Jiahui Lu, Huibin Zhang, Yi Xiao, Yingyu Wang

JMIR AI 2024 (Jan 29); 3:e47240

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

Discretionary Corrigendum

View E-collection for ‘Discretionary Corrigendum’

View image

Correction: Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study

Max Rollwage, Johanna Habicht, Keno Juechems, Ben Carrington, Sruthi Viswanathan, Mona Stylianou, Tobias U Hauser, Ross Harper

JMIR AI 2024 (Mar 12); 3:e57869

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML

AI Data

View E-collection for ‘AI Data’

View image

Privacy-Preserving Federated Survival Support Vector Machines for Cross-Institutional Time-To-Event Analysis: Algorithm Development and Validation

Julian Späth, Zeno Sewald, Niklas Probul, Magali Berland, Mathieu Almeida, Nicolas Pons, Emmanuelle Le Chatelier, Pere Ginès, Cristina Solé, Adrià Juanola, Josch Pauling, Jan Baumbach

JMIR AI 2024 (Mar 29); 3:e47652

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

Download PDF Download XML