Latest AI and machine learning research in clinical trials for healthcare professionals.
Predicting the likelihood of developing Alzheimer’s disease (AD) dementia in at-risk individuals is ...
Any tool that can reduce the administrative burden on healthcare providers while preserving safe, ac...
This study investigated whether readily available, generative AI models, could be used to answer MR ...
Antibodies against the SARS-CoV-2 spike receptor-binding domain provided effective COVID-19 treatmen...
Buparlisib, a pan-class I PI3K inhibitor, combined with paclitaxel, demonstrated improved survival i...
Peer review processes may inadequately assess compliance with established reporting guidelines such ...
The National Early Warning Score (NEWS) is a nationally recommended, clinically implemented system, ...
Repetitive transcranial magnetic stimulation (rTMS) targeting the primary motor cortex (M1) provides...
Control of blood pressure (BP) continues to be a challenge globally. Clinical trials have shown home...
To prospectively evaluate the feasibility and performance of expedited screening mammogram interpret...
Cancer therapeutic response patterns may be fundamentally influenced by embryonic germ layer origin....
Diagnostic error in high-stakes clinical environments remains a significant cause of preventable har...
Large language models (LLMs) have been investigated for clinical documentation, with concerns about ...
While medication use is common among pregnant women, medication safety remains insufficiently charac...
Large language models (LLMs) are increasingly used in healthcare, but standardized benchmarks fail t...
Large language models (LLMs) demonstrate strong performance on medical reasoning tasks, but current ...
Despite the availability of more than 20 anti-seizure medications (ASMs), approximately half of pati...
We evaluated whether oxytocin improves social-emotional reciprocity in children and adolescents with...
Large language models (LLMs) are rapidly entering clinical care, yet their definitionally probabilis...
Traditional surgical training relies on an apprenticeship model, which is subjective and threatened ...
Decoding neural states from pediatric EEG in naturalistic settings remains challenging due to signal...