Florida State University

AI recognition of patient race in medical imaging: a modelling study

Judy Wawira Gichoya, Imon Banerjee, Ananth Reddy Bhimireddy et al.

2022 · 465 Zit.

AI-generated feedback on writing: insights into efficacy and ENL student preference

Juan Escalante, Austin Pack, Alex Barrett

2023 · 362 Zit.

AI-Generated Medical Advice—GPT and Beyond

Claudia E. Haupt, Mason Marks

2023 · 316 Zit.

Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review

Seyedeh Neelufar Payrovnaziri, Zhaoyi Chen, Pablo Rengifo‐Moreno et al.

2020 · 304 Zit.

Not quite eye to A.I.: student and teacher perspectives on the use of generative artificial intelligence in the writing process

Alex Barrett, Austin Pack

2023 · 264 Zit.

AI Chatbots, Health Privacy, and Challenges to HIPAA Compliance

Mason Marks, Claudia E. Haupt

2023 · 136 Zit.

Artificial intelligence in academic writing: a paradigm-shifting technological advance

Roei Golan, Rohit Reddy, Akhil Muthigi et al.

2023 · 119 Zit.

Emerging Artificial Intelligence–Empowered mHealth: Scoping Review

Paras Bhatt, Jia Liu, Yanmin Gong et al.

2022 · 109 Zit.

Precision Education Initiative: Moving Toward Personalized Education

Sara A. Hart

2016 · 91 Zit.

Impact of ChatGPT on Interdisciplinary Nursing Education and Research

Hongyu Miao, Hyochol Ahn

2023 · 72 Zit.

ChatGPT's Ability to Assess Quality and Readability of Online Medical Information: Evidence From a Cross-Sectional Study

Roei Golan, Sarah J Ripps, Raghuram Reddy et al.

2023 · 68 Zit.

Radiology Gets Chatty: The ChatGPT Saga Unfolds

Harpreet Singh Grewal, Gagandeep Dhillon, Varun Monga et al.

2023 · 67 Zit.

Validity of data extraction in evidence synthesis practice of adverse events: reproducibility study

Chang Xu, Tianqi Yu, Luis Furuya‐Kanamori et al.

2022 · 66 Zit.

ChatGPT as an important tool in organizational management: A review of the literature

Lateef Ayinde, Muhamad Prabu Wibowo, Benhur Ravuri et al.

2023 · 64 Zit.

Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study

Zhe He, Balu Bhasuran, Qiao Jin et al.

2024 · 41 Zit.