Latest AI and machine learning research in clinical trials for healthcare professionals.
Over the past 3 decades, various algorithms used to decompose the electromyographic (EMG) signal int...
Evaluation of potential chemical-induced eye injury through irritation and corrosion is required to ...
INTRODUCTION: Pharmacokinetics involves the study of absorption, distribution, metabolism, excretion...
OBJECTIVE: Although robotic surgery decreases pain compared to laparotomy, postoperative pain can be...
OBJECTIVES: In clinical practice, image analysis is dependent on simply visual perception and the di...
Electroencephalography (EEG)-based motor imagery (MI) brain-computer interface (BCI) technology has ...
Background: Selective attention enables the prioritization of behaviorally relevant information in c...
Abstract Background: Kaposi sarcoma (KS) is the most common cancer among men in several Eastern Afri...
Background: Major depressive disorder (MDD) is clinically heterogeneous, hindering identification of...
Background Endoscopic pituitary surgery involves navigating high-stakes anatomy where complications,...
Objective: Despite the complex and non-linear progression of diabetes, its shared pathways with athe...
Personalized oncology treatment recommendation is a critical clinical task that requires in-tegratin...
As large language models (LLMs) enter clinical workflows, automation bias, the uncritical acceptance...
Conversational AI is being deployed into medical decision support, mental-health triage, and social ...
Background: Adverse drug events (ADEs) are a critical indicator of patient safety but are often docu...
Insulin therapy for type 1 diabetes requires continual dose adjustment to meals, activity, stress, i...
Impaired learning that both novel and previously dangerous stimuli are safe (safety and extinction l...
Background & Aims: Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD) is the leading c...
Testing object detectors in safety-critical domains requires semantically meaningful probes beyond p...
Pathological assessment guides lung cancer diagnosis, treatment selection, and prognostic evaluation...
Clinical AI systems have achieved strong predictive performance; however, prediction accuracy is not...