Prospects and Ethics of ChatGPT in Biomedical Research and Medical Practice: An Emphasis on Nanotechnology

This review delves into the transformative potential of ChatGPT, a cutting-edge language model developed by OpenAI, in biomedical research and medical applications, with an emphasis on nanotechnology. The paper is structured across five comprehensive sections, each highlighting distinct facets of the vast applications of ChatGPT in these fields. First, we explored its role in expediting drug discovery and delivery, from accelerating the identification of delivery methods to refining systems and solving delivery challenges. Second, it investigates its impact on scientific research, from accelerating literature reviews to aiding in predictive modeling and manuscript support. Third, this study addresses the implications of the ChatGPT in medical practice, from administrative tasks to patient care and ethical considerations. The fourth section scrutinizes ethical concerns regarding confidentiality, quality of care, equity, and collaboration. Finally, this review culminates into a conclusive summary of key findings, offering insights into the profound implications of ChatGPT for biomedical research and medical practice. Applications in nanotechnology, and more specifically the use of nanomaterials in medicine, are underscored throughout. Ultimately, ChatGPT offers an innovative method that has the potential to significantly advance biomedical research and enhance medical practice, heralding a new epoch in the digital age.

Authors

Institutions

Publication Details

Journal
Journal of Biomedical Nanotechnology
Published
2024-11-01
DOI
https://doi.org/10.1166/jbn.2024.3925
Citations
5
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.60
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prospects and Ethics of ChatGPT in Biomedical Research and Medical Practice: An Emphasis on Nanotechnology

Md. Faiyazuddin, Yogesh Chaudhari, Abbas Shahrabadi, Amol D. Gholap et al.
5 citations
Journal of Biomedical Nanotechnology
Artificial Intelligence in Healthcare and Education
0.60
article

Prospects and Ethics of ChatGPT in Biomedical Research and Medical Practice: An Emphasis on Nanotechnology

Md. Faiyazuddin, Yogesh Chaudhari, Abbas Shahrabadi, Amol D. Gholap, Thomas J. Webster, S. Sharmila, Shayan Maqsood
article en
5 citations

Abstract

This review delves into the transformative potential of ChatGPT, a cutting-edge language model developed by OpenAI, in biomedical research and medical applications, with an emphasis on nanotechnology. The paper is structured across five comprehensive sections, each highlighting distinct facets of the vast applications of ChatGPT in these fields. First, we explored its role in expediting drug discovery and delivery, from accelerating the identification of delivery methods to refining systems and solving delivery challenges. Second, it investigates its impact on scientific research, from accelerating literature reviews to aiding in predictive modeling and manuscript support. Third, this study addresses the implications of the ChatGPT in medical practice, from administrative tasks to patient care and ethical considerations. The fourth section scrutinizes ethical concerns regarding confidentiality, quality of care, equity, and collaboration. Finally, this review culminates into a conclusive summary of key findings, offering insights into the profound implications of ChatGPT for biomedical research and medical practice. Applications in nanotechnology, and more specifically the use of nanomaterials in medicine, are underscored throughout. Ultimately, ChatGPT offers an innovative method that has the potential to significantly advance biomedical research and enhance medical practice, heralding a new epoch in the digital age.

Journal of Biomedical NanotechnologyVol. 20(11)
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), Hebei University of Technology (CN), Jamia Hamdard (IN), Hindu College of Pharmacy (IN)
Openalex Percentile: Top 28%
Artificial Intelligence in Healthcare and Education
0.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.