Latest AI and machine learning research in information technology for healthcare professionals.
The last three years have seen an explosion in published manuscripts analysing open-access health da...
Multimorbidity poses significant healthcare challenges globally. Current assessment methods rely pri...
Fifth metatarsal (5MT) fractures are common but challenging to diagnose, particularly with limited e...
Skin cancer, one of the most prevalent forms of cancer globally, demands early and accurate diagnosi...
Diagnosis coding is essential for clinical care, research validity, and hospital reimbursement. In n...
Eviction is a significant yet understudied social determinants of health (SDoH), linked to housing i...
Poor outcomes in acute respiratory distress syndrome (ARDS) can be alleviated with tools that suppor...
To streamline the development of clinical machine learning (ML) models for predicting acute neurolog...
Most evaluations of artificial intelligence (AI) in medicine rely on static, multiple-choice benchma...
Postpartum hemorrhage (PPH) is a major cause of maternal morbidity and mortality. Timely prediction ...
To quantify the adoption pattern of an LLM-based clinical decision support system across private pri...
The dire consequences of heart failure (HF) patient non-response to guideline directed medical thera...
Ambient artificial intelligence (AI) offers the potential to reduce documentation burden and improve...
The accurate detection of clinical phenotypes from electronic health records (EHRs) is pivotal for a...
Alzheimer’s Disease (AD) is a complex neurodegenerative disorder strongly influenced by sex differen...
Diabetes-related foot ulcers (DFUs) are a serious complication of diabetes, often resulting in infec...
Obsessive-compulsive disorder (OCD) is a common psychiatric disorder, with two-thirds of affected in...
Artificial intelligence (AI)-enhanced electrocardiogram (ECG) models are designed to detect specific...
By personalizing healthcare to an individual’s specific requirements, precision health promises to m...
The temporal sequence of clinical events is crucial in outcomes research, yet standard machine learn...
Cardiac surgery is one of the most complex and high-stakes areas of medicine, where intraoperative d...