Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
OBJECTIVE: Whereas a scalp electroencephalogram (EEG) is important for diagnosing epilepsy, a single...
BACKGROUND: Perilunate/lunate injuries are frequently misdiagnosed. We hypothesize that utilization ...
BACKGROUND: Acute lymphoblastic leukemia (ALL) is a leading cause of death among pediatric malignanc...
Artificial Intelligence (AI) is revolutionizing medical writing by enhancing the efficiency and prec...
UNLABELLED: There is a need to improve communication for patients and relatives who belong to cultur...
The potential of large language models (LLMs) in medical applications is significant, and Retrieval-...
This study assessed the feasibility of large language models such as GPT-4 (OpenAI, San Francisco, C...
Major Depressive Disorder (MDD) is a prevalent mental health condition that often begins in adolesce...
Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease that can result in a progressive ...
Adolescents worldwide are increasingly affected by mental health disorders, with anxiety disorders, ...
BACKGROUND: Knee osteoarthritis (KOA) constitutes the prevailing manifestation of arthritis. Radiogr...
This manifesto seeks to challenge dominant narratives about the future of augmentative and alternati...
The diagnosis and early identification of intratracheal tumors relies on the experience of the opera...
Suicide constitutes a public health issue of major concern. Ongoing progress in the field of artific...
Pancreaticobiliary endoscopy is an essential tool for diagnosing and treating pancreaticobiliary dis...
Artificial Intelligence (AI) is transforming the field of sports science by providing unprecedented ...
Variations in hue and contrast are common in H&E-stained pathology images due to differences in slid...
The prevalence of spinal tuberculosis (ST) is particularly high in underdeveloped regions with inade...
Acute myocardial infarction (AMI) and sepsis are the leading causes of high mortality rates in inten...
Many individuals with autism experience challenges using language in social contexts (i.e., pragmati...
Inability to express the confidence level and detect unseen disease classes limits the clinical impl...