ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns

M Sallam - Healthcare, 2023 - mdpi.com
ChatGPT is an artificial intelligence (AI)-based conversational large language model (LLM).
The potential applications of LLMs in health care education, research, and practice could be …

Scientific discovery in the age of artificial intelligence

H Wang, T Fu, Y Du, W Gao, K Huang, Z Liu… - Nature, 2023 - nature.com
Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment
and accelerate research, hel** scientists to generate hypotheses, design experiments …

ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing

BD Lund, T Wang, NR Mannuru, B Nie… - Journal of the …, 2023 - Wiley Online Library
This article discusses OpenAI's ChatGPT, a generative pre‐trained transformer, which uses
natural language processing to fulfill text‐based user requests (ie, a “chatbot”). The history …

[HTML][HTML] Infectious disease in an era of global change

RE Baker, AS Mahmud, IF Miller, M Rajeev… - Nature Reviews …, 2022 - nature.com
The twenty-first century has witnessed a wave of severe infectious disease outbreaks, not
least the COVID-19 pandemic, which has had a devastating impact on lives and livelihoods …

Machine learning and deep learning

C Janiesch, P Zschech, K Heinrich - Electronic Markets, 2021 - Springer
Today, intelligent systems that offer artificial intelligence capabilities often rely on machine
learning. Machine learning describes the capacity of systems to learn from problem-specific …

Explainable ai: A review of machine learning interpretability methods

P Linardatos, V Papastefanopoulos, S Kotsiantis - Entropy, 2020 - mdpi.com
Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption,
with machine learning systems demonstrating superhuman performance in a significant …

On hyperparameter optimization of machine learning algorithms: Theory and practice

L Yang, A Shami - Neurocomputing, 2020 - Elsevier
Abstract Machine learning algorithms have been used widely in various applications and
areas. To fit a machine learning model into different problems, its hyper-parameters must be …

Revolutionizing healthcare: the role of artificial intelligence in clinical practice

SA Alowais, SS Alghamdi, N Alsuhebany… - BMC medical …, 2023 - Springer
Introduction Healthcare systems are complex and challenging for all stakeholders, but
artificial intelligence (AI) has transformed various fields, including healthcare, with the …

The global landscape of AI ethics guidelines

A Jobin, M Ienca, E Vayena - Nature machine intelligence, 2019 - nature.com
In the past five years, private companies, research institutions and public sector
organizations have issued principles and guidelines for ethical artificial intelligence (AI) …

Machine learning methods for small data challenges in molecular science

B Dou, Z Zhu, E Merkurjev, L Ke, L Chen… - Chemical …, 2023 - ACS Publications
Small data are often used in scientific and engineering research due to the presence of
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …