Hallym University

Are ChatGPT’s knowledge and interpretation ability comparable to those of medical students in Korea for taking a parasitology examination?: a descriptive study

Sun Huh

2023 · 235 Zit.

From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare

Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal et al.

2023 · 218 Zit.

Are ChatGPT's knowledge and interpretation ability comparable to those of medical students in Korea for taking a parasitology examination?: a descriptive study

Sun Huh

2023 · 199 Zit.

Overview of Chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science

Chiranjib Chakraborty, Soumen Pal, Manojit Bhattacharya et al.

2023 · 131 Zit.

Opportunities, challenges, and future directions of large language models, including ChatGPT in medical education: a systematic scoping review

Xiaojun Xu, Y.J. Chen, Jing Miao

2024 · 106 Zit.

A Domain-Specific Next-Generation Large Language Model (LLM) or ChatGPT is Required for Biomedical Engineering and Research

Soumen Pal, Manojit Bhattacharya, Sang‐Soo Lee et al.

2023 · 86 Zit.

Prediction of Stroke Outcome Using Natural Language Processing-Based Machine Learning of Radiology Report of Brain MRI

Tak-Sung Heo, Yu Seop Kim, Jeong-Myeong Choi et al.

2020 · 64 Zit.

ChatGPT and large language models in orthopedics: from education and surgery to research

Srijan Chatterjee, Manojit Bhattacharya, Soumen Pal et al.

2023 · 62 Zit.

Performance of ChatGPT, Bard, Claude, and Bing on the Peruvian National Licensing Medical Examination: a cross-sectional study

Betzy C. Torres-Zegarra, Wagner Rios-García, Alvaro M. Ñaña‐Cordova et al.

2023 · 61 Zit.

Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review

Jin-Ah Sim, Xiaolei Huang, Madeline R. Horan et al.

2023 · 61 Zit.

Human Resources Analytics for Public Personnel Management: Concepts, Cases, and Caveats

Wonhyuk Cho, Seeyoung Choi, Hemin Choi

2023 · 57 Zit.

Artificial intelligence, machine learning, and deep learning in women’s health nursing

Geum Hee Jeong

2020 · 44 Zit.

The application of a deep learning system developed to reduce the time for RT-PCR in COVID-19 detection

Yoonje Lee, Yu-Seop Kim, Dain Lee et al.

2022 · 32 Zit.

Issues in the 3rd year of the COVID-19 pandemic, including computer-based testing, study design, ChatGPT, journal metrics, and appreciation to reviewers

Sun Huh

2023 · 29 Zit.

Characteristics of Retractions from Korean Medical Journals in the KoreaMed Database: A Bibliometric Analysis

Sun Huh, Soo Young Kim, Hye Min Cho

2016 · 28 Zit.