Latest AI and machine learning research in medicolegal for healthcare professionals.
CT images are widely used in clinical diagnosis and treatment, and their data have formed a de facto...
More than one third of adults with diabetes can experience diabetes distress due to the demands of d...
Real-world image restoration (RWIR) is a highly challenging task due to the absence of clean ground-...
Motivation: GWAS (genome-wide association study) summary statistic files are essential inputs for po...
Objectives: To identify unique echocardiographic signatures associated with TTR+ carrier status prec...
Ambient AI documentation tools generate draft notes that clinicians can review and edit before signi...
Introduction: Recreational and medical cannabis use (CU) information is often available within the e...
Artificial intelligence (AI), particularly large language models (LLMs), is increasingly explored in...
Multi-tracer positron emission tomography (PET) provides critical insights into diverse neuropatholo...
Medical image processing demands specialized software that handles high-dimensional volumetric data,...
Electronic health records (EHRs) have become the cornerstone of population-scale genetic studies1, b...
Perinatal depression (PD) is common and disabling, yet its longitudinal comorbidity patterns and pre...
Radiology Report Generation (RRG) through Vision-Language Models (VLMs) promises to reduce documenta...
Background: Nursing documentation patterns may reflect patient acuity and clinical deterioration, ye...
Body mass index (BMI), type 2 diabetes (T2D) and associated cardiometabolic features modify Alzheime...
Background: Liver cancer primarily develops in patients with chronic liver disease (CLD), yet most c...
Rapid advances in bioinformatics have transformed biomedical research in areas such as single-cell a...
Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems are increasingly integ...
Importance: High-quality discharge summaries are essential for safe care transitions but contribute ...
Objective To characterize the clinical and administrative concerns communicated through secure ophth...
Motivation: Extracting knowledge from biomedical data is crucial for advancing our understanding of ...