VA Ann Arbor Healthcare System

Performance of GPT-3.5 and GPT-4 on the Japanese Medical Licensing Examination: Comparison Study

Soshi Takagi, Takashi Watari, Ayano Erabi et al.

2023 · 284 Zit.

Performance Comparison of ChatGPT-4 and Japanese Medical Residents in the General Medicine In-Training Examination: Comparison Study

Takashi Watari, Soshi Takagi, Kota Sakaguchi et al.

2023 · 60 Zit.

Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care

Bengie L. Ortiz, Vibhuti Gupta, Rajnish Kumar et al.

2024 · 51 Zit.

Learning About Machine Learning: The Promise and Pitfalls of Big Data and the Electronic Health Record

Rahul C. Deo, Brahmajee K. Nallamothu

2016 · 47 Zit.

Using Animated Computer-generated Text and Graphics to Depict the Risks and Benefits of Medical Treatment

Alan R. Tait, Terri Voepel‐Lewis, Colleen Brennan-Martinez et al.

2012 · 42 Zit.

Intricacies of human–AI interaction in dynamic decision-making for precision oncology

Dipesh Niraula, Kyle C. Cuneo, Ivo D. Dinov et al.

2025 · 27 Zit.

Artificial Intelligence and the Practice of Neurology in 2035

David T. Jones, Kevin A. Kerber

2022 · 19 Zit.

Understanding Model Drift and Its Impact on Health Care Policy

Andrew Wong, Jeremy B. Sussman

2025 · 7 Zit.

Leveraging predictive analytics to reduce influenza and COVID-19-related adverse events

Heather Annolino

2022 · 3 Zit.

2nd European Conference on Diagnostic Error in Medicine August 30-31, 2018, Bern, Switzerland

David Schwappach, Jason Maude, Juliane E. Kämmer et al.

2018 · 0 Zit.

Evaluating AI-based comprehensive clinical decision support for sepsis and ARDS: protocol for a Clinician Turing Test

Antonia Angeli Gazola, Nicholas S. Bishop, B. Schmid et al.

2025 · 0 Zit.

Ethical and Legal Considerations for Responsible Use of Artificial Intelligence in Clinical Gastroenterology

Megan A. Adams, Andrew D. Feld

2025 · 0 Zit.

Performance of GPT-3.5 and GPT-4 on the Japanese Medical Licensing Examination: Comparison Study (Preprint)

Soshi Takagi, Takashi Watari, Ayano Erabi et al.

2023 · 0 Zit.

The Data-Augmented, Technology-Assisted Medical Decision Making (DATA-MD) Curriculum: A Machine Learning and Artificial Intelligence Curriculum for Clinical Trainees

Andrew Wong, Jeremy B. Sussman, Nicholson Price et al.

2025 · 0 Zit.

Artificial Intelligence and Clinical Care

Cary P. Gross, Ilana B. Richman, Nathan M. Stall et al.

2025 · 0 Zit.