Large language models in health care: Development, applications, and challenges

R Yang, TF Tan, W Lu, AJ Thirunavukarasu… - Health Care …, 2023 - Wiley Online Library
Recently, the emergence of ChatGPT, an artificial intelligence chatbot developed by OpenAI,
has attracted significant attention due to its exceptional language comprehension and …

A translational perspective towards clinical AI fairness

M Liu, Y Ning, S Teixayavong, M Mertens, J Xu… - NPJ Digital …, 2023 - nature.com
Artificial intelligence (AI) has demonstrated the ability to extract insights from data, but the
fairness of such data-driven insights remains a concern in high-stakes fields. Despite …

Chronic inflammation, neutrophil activity, and autoreactivity splits long COVID

MC Woodruff, KS Bonham, FA Anam, TA Walker… - Nature …, 2023 - nature.com
While immunologic correlates of COVID-19 have been widely reported, their associations
with post-acute sequelae of COVID-19 (PASC) remain less clear. Due to the wide array of …

Machine learning in precision diabetes care and cardiovascular risk prediction

EK Oikonomou, R Khera - Cardiovascular Diabetology, 2023 - Springer
Artificial intelligence and machine learning are driving a paradigm shift in medicine,
promising data-driven, personalized solutions for managing diabetes and the excess …

Multiple stakeholders drive diverse interpretability requirements for machine learning in healthcare

F Imrie, R Davis, M van der Schaar - Nature Machine Intelligence, 2023 - nature.com
Applications of machine learning are becoming increasingly common in medicine and
healthcare, enabling more accurate predictive models. However, this often comes at the cost …

A scholarly definition of artificial intelligence (AI): advancing AI as a conceptual framework in communication research

H Gil de Zúñiga, M Goyanes, T Durotoye - Political communication, 2024 - Taylor & Francis
ABSTRACT Research on Artificial Intelligence (AI) in communication research is gaining
broader interest. This interdisciplinary interest has yet to be supported by a systematic …

[HTML][HTML] AI and machine learning in resuscitation: ongoing research, new concepts, and key challenges

Y Okada, M Mertens, N Liu, SSW Lam, MEH Ong - Resuscitation plus, 2023 - Elsevier
Aim Artificial intelligence (AI) and machine learning (ML) are important areas of computer
science that have recently attracted attention for their application to medicine. However, as …

AutoPrognosis 2.0: Democratizing diagnostic and prognostic modeling in healthcare with automated machine learning

F Imrie, B Cebere, EF McKinney… - PLOS Digital …, 2023 - journals.plos.org
Diagnostic and prognostic models are increasingly important in medicine and inform many
clinical decisions. Recently, machine learning approaches have shown improvement over …

Assessment of angle closure disease in the age of artificial intelligence: A review

Z Da Soh, M Tan, ME Nongpiur, BY Xu… - Progress in Retinal and …, 2024 - Elsevier
Primary angle closure glaucoma is a visually debilitating disease that is under-detected
worldwide. Many of the challenges in managing primary angle closure disease (PACD) are …

Prediction of complications and prognostication in perioperative medicine: a systematic review and PROBAST assessment of machine learning tools

P Arina, MR Kaczorek, DA Hofmaenner… - …, 2024 - pubs.asahq.org
Background The utilization of artificial intelligence and machine learning as diagnostic and
predictive tools in perioperative medicine holds great promise. Indeed, many studies have …