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 …

A review of the role of artificial intelligence in healthcare

A Al Kuwaiti, K Nazer, A Al-Reedy, S Al-Shehri… - Journal of personalized …, 2023 - mdpi.com
Artificial intelligence (AI) applications have transformed healthcare. This study is based on a
general literature review uncovering the role of AI in healthcare and focuses on the following …

Should chatgpt be biased? challenges and risks of bias in large language models

E Ferrara - arXiv preprint arXiv:2304.03738, 2023 - arxiv.org
As the capabilities of generative language models continue to advance, the implications of
biases ingrained within these models have garnered increasing attention from researchers …

On the use of AI-based tools like ChatGPT to support management research

B Burger, DK Kanbach, S Kraus, M Breier… - European Journal of …, 2023 - emerald.com
Purpose The article discusses the current relevance of artificial intelligence (AI) in research
and how AI improves various research methods. This article focuses on the practical case …

[HTML][HTML] Artificial intelligence in pharmaceutical technology and drug delivery design

LK Vora, AD Gholap, K Jetha, RRS Thakur, HK Solanki… - Pharmaceutics, 2023 - mdpi.com
Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic
knowledge and provides expedited solutions to complex challenges. Remarkable …

The shaky foundations of large language models and foundation models for electronic health records

M Wornow, Y Xu, R Thapa, B Patel, E Steinberg… - npj Digital …, 2023 - nature.com
The success of foundation models such as ChatGPT and AlphaFold has spurred significant
interest in building similar models for electronic medical records (EMRs) to improve patient …

On the opportunities and risks of foundation models

R Bommasani, DA Hudson, E Adeli, R Altman… - arXiv preprint arXiv …, 2021 - arxiv.org
AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …

[HTML][HTML] Addressing bias in big data and AI for health care: A call for open science

N Norori, Q Hu, FM Aellen, FD Faraci, A Tzovara - Patterns, 2021 - cell.com
Artificial intelligence (AI) has an astonishing potential in assisting clinical decision making
and revolutionizing the field of health care. A major open challenge that AI will need to …

Redefining radiology: a review of artificial intelligence integration in medical imaging

R Najjar - Diagnostics, 2023 - mdpi.com
This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making
its foray into radiology, a move that is catalysing transformational shifts in the healthcare …

Artificial intelligence in healthcare: review, ethics, trust challenges & future research directions

P Kumar, S Chauhan, LK Awasthi - Engineering Applications of Artificial …, 2023 - Elsevier
The use of artificial intelligence (AI) in medicine is beginning to alter current procedures in
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …