Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 22,641 to 22,650 of 216,842 articles

The Effectiveness of Artificial Intelligence in Undergraduate Health Professions Education: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

JMIR medical education
BACKGROUND: Health professions education faces increasing challenges from rising health care complexity, pedagogical shifts, and constrained curricular space, and rapidly expanding knowledge and technological advances. While artificial intelligence (... read more 

Global Sentiment Toward Health AI at the Dawn of the ChatGPT Era: Empirical Analysis of Twitter (X) Discourse.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) is increasingly proposed for use in health and health care systems. Beyond technical performance, public perceptions and affective responses influence whether AI technologies are accepted and adopted in real-w... read more 

Topological data analysis improves estimation of muscle fatigue and contraction level from surface electromyography data.

Journal of neural engineering
ObjectiveMuscle fatigue affects individuals with neuromuscular disease and elite athletes alike. Muscle fatigue is difficult to reliably assess using non-invasive, real-time measures such as surface electromyography (sEMG) due to the coupling of fati... read more 

Cybersecurity in Healthcare: A Systematic Review and Narrative Analysis.

Applied clinical informatics
BACKGROUND: Cybersecurity attacks in healthcare have increased in number and severity over the last decade. Healthcare targets are ten times more valuable than financial targets because of the potential for fraudulent medical claims. Medical provider... read more 

Filling the Gap of the Heats of Formation for Organophosphorus Species in the NIST Chemistry WebBook with Reliable Quantum-Chemistry Computations.

The journal of physical chemistry. A
We have used high-level quantum-chemistry methods to obtain the heat of formation (HOF) for a set of 539 organophosphorus species in the NIST database, for which reported values are not available. Machine learning is then used to divide the HOFs into... read more 

Empathy in AI for Health and Care Settings-Definition, Expression, and Measurement: Protocol for a Scoping Review.

JMIR research protocols
BACKGROUND: "Empathy" is widely discussed in health and care settings and is increasingly claimed as an attribute of artificial intelligence (AI) systems (eg, socially assistive robots and chatbots), but the term is used inconsistently across the lit... read more 

Development and validation of a machine learning model to predict recurrence in polypoidal choroidal vasculopathy: a multicentre prospective study.

The British journal of ophthalmology
AIM: This study aims to develop and validate machine learning models for predicting recurrence in polypoidal choroidal vasculopathy (PCV) patients using optical coherence tomography (OCT) and OCT angiography (OCTA) biomarkers. METHODS: This multicent... read more 

Classification of retinal diseases based on optical coherence tomography angiography using cross-modal transfer learning of domain-specific foundation AI models.

The British journal of ophthalmology
AIMS: This study evaluated the use of ophthalmic foundation deep-learning models with cross-modal transfer learning to classify multiple diseases on optical coherence tomography angiography (OCTA) with limited sample size. METHODS: The OCTA-500 datas... read more 

Controlling spatio-temporal sequences of neural activity by local synaptic changes.

The Journal of neuroscience : the official journal of the Society for Neuroscience
The neural basis of behavior is believed to consist of sequential patterns of neural activity in the relevant brain regions. Behavioral flexibility also requires neural circuit mechanisms that support dynamic control of sequential activity. However, ... read more