Latest AI and machine learning research in medicolegal for healthcare professionals.
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...
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...
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 ...
Motivation: Extracting knowledge from biomedical data is crucial for advancing our understanding of ...
Generative artificial intelligence (AI) is rapidly populating medical records with synthetic content...
Generative artificial intelligence (AI) is rapidly populating medical records with synthetic content...
Public health policies increasingly rely on the use of complex and large datasets containing heterog...
Artificial intelligence (AI) has the potential to transform medical imaging by automating image anal...
BackgroundArtificial intelligence (AI) scribes have the potential to reduce documentation burden. Pr...
The withering process is a critical stage in developing the aroma profile of black tea. In this stud...
Protein structure characterization is critical for therapeutic protein drug development and producti...
Large language models (LLMs) such as GPT-4o and o1 have demonstrated strong performance on clinica...
Large language models (LLMs) such as GPT-4o and o1 have demonstrated strong performance on clinica...
Social determinants of health (SDoH) significantly influence health outcomes, shaping disease prog...
Background: Clinical documentation represents a significant burden for healthcare providers, with ...
Automatic medical coding has the potential to ease documentation and billing processes. For this t...