Large language models in health care: Development, applications, and challenges
Recently, the emergence of ChatGPT, an artificial intelligence chatbot developed by OpenAI,
has attracted significant attention due to its exceptional language comprehension and …
has attracted significant attention due to its exceptional language comprehension and …
A translational perspective towards clinical AI fairness
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 …
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 …
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 …
promising data-driven, personalized solutions for managing diabetes and the excess …
Multiple stakeholders drive diverse interpretability requirements for machine learning in healthcare
Applications of machine learning are becoming increasingly common in medicine and
healthcare, enabling more accurate predictive models. However, this often comes at the cost …
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
ABSTRACT Research on Artificial Intelligence (AI) in communication research is gaining
broader interest. This interdisciplinary interest has yet to be supported by a systematic …
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
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 …
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
Diagnostic and prognostic models are increasingly important in medicine and inform many
clinical decisions. Recently, machine learning approaches have shown improvement over …
clinical decisions. Recently, machine learning approaches have shown improvement over …
Assessment of angle closure disease in the age of artificial intelligence: A review
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 …
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 …
predictive tools in perioperative medicine holds great promise. Indeed, many studies have …