Opportunities and challenges for ChatGPT and large language models in biomedicine and health

S Tian, Q **, L Yeganova, PT Lai, Q Zhu… - Briefings in …, 2024 - academic.oup.com
ChatGPT has drawn considerable attention from both the general public and domain experts
with its remarkable text generation capabilities. This has subsequently led to the emergence …

Machine learning-guided protein engineering

P Kouba, P Kohout, F Haddadi, A Bushuiev… - ACS …, 2023 - ACS Publications
Recent progress in engineering highly promising biocatalysts has increasingly involved
machine learning methods. These methods leverage existing experimental and simulation …

Racial disparities in automated speech recognition

A Koenecke, A Nam, E Lake, J Nudell… - Proceedings of the …, 2020 - pnas.org
Automated speech recognition (ASR) systems, which use sophisticated machine-learning
algorithms to convert spoken language to text, have become increasingly widespread …

Explainable ai and reinforcement learning—a systematic review of current approaches and trends

L Wells, T Bednarz - Frontiers in artificial intelligence, 2021 - frontiersin.org
Research into Explainable Artificial Intelligence (XAI) has been increasing in recent years as
a response to the need for increased transparency and trust in AI. This is particularly …

Algorithmic encoding of protected characteristics in chest X-ray disease detection models

B Glocker, C Jones, M Bernhardt, S Winzeck - EBioMedicine, 2023 - thelancet.com
Background It has been rightfully emphasized that the use of AI for clinical decision making
could amplify health disparities. An algorithm may encode protected characteristics, and …

Adoption of AI-enabled tools in social development organizations in India: An extension of UTAUT model

R Jain, N Garg, SN Khera - Frontiers in Psychology, 2022 - frontiersin.org
Social development organizations increasingly employ artificial intelligence (AI)-enabled
tools to help team members collaborate effectively and efficiently. These tools are used in …

Artificial intelligence for health professions educators

K Lomis, P Jeffries, A Palatta, M Sage… - NAM …, 2021 - pmc.ncbi.nlm.nih.gov
Artificial intelligence (AI) is already impacting many facets of American life and is poised to
dramatically alter the maintenance of health and the delivery of health care. The explosion of …

Personnel selection: A review of ways to maximize validity, diversity, and the applicant experience

CH Van Iddekinge, F Lievens… - Personnel …, 2023 - Wiley Online Library
Personnel Psychology has a long tradition of publishing important research on personnel
selection. In this article, we review some of the key questions and findings from studies …

Data‐Driven Battery Characterization and Prognosis: Recent Progress, Challenges, and Prospects

S Ji, J Zhu, Y Yang, G Dos Reis, Z Zhang - Small Methods, 2024 - Wiley Online Library
Battery characterization and prognosis are essential for analyzing underlying
electrochemical mechanisms and ensuring safe operation, especially with the assistance of …

[HTML][HTML] Public covid-19 x-ray datasets and their impact on model bias–a systematic review of a significant problem

BG Santa Cruz, MN Bossa, J Sölter, AD Husch - Medical image analysis, 2021 - Elsevier
Computer-aided-diagnosis and stratification of COVID-19 based on chest X-ray suffers from
weak bias assessment and limited quality-control. Undetected bias induced by inappropriate …