Latest AI and machine learning research in surveillance for healthcare professionals.
Antimicrobial resistance (AMR) threatens antibiotic effectiveness, but quantitatively evaluating ste...
Geoenergy projects (CO2 storage, geothermal, subsurface H2 generation/storage, critical minerals fro...
Ulcerative colitis (UC) is a chronic mucosal inflammatory condition that places patients at increase...
Background Timely detection of seasonal influenza outbreaks is critical for healthcare system prepar...
Background Placental dysfunction remains a leading cause of stillbirth and neonatal morbidity, yet c...
Structured radiology reporting promises faster, more consistent communication than free text, but au...
The rapid development of generative models for single-cell gene expression data has created an urgen...
Generative AI has advanced rapidly in medical report generation; however, its application to oral an...
This dual-center study evaluated the impact of artificial intelligence (AI) on urine culture turnaro...
Objective. Healthcare machine learning models trained on patient data must comply with the General D...
Predicting hospital outcomes for patients with severe acute respiratory infections is critical for r...
Leptospira is a highly diverse genus traditionally classified by serological assays into more than 3...
Colonic polyps are well-recognized precursors to colorectal cancer (CRC), typically detected during ...
Introduction Clinicians and patients are likely to increasingly use Large Language Models (LLMs) for...
Background: Nontyphoidal Salmonella enterica (NTS) is a major public-health threat in the United Sta...
Background: Sepsis remains a leading cause of preventable hospital mortality in England, with NHS En...
Rapid progress in vision-language modeling has enabled pathology report generation from gigapixel wh...
Screening mammography is high volume, time sensitive, and documentation heavy. Radiologists must tra...
Background Accurate diagnostic tools are needed in schistosomiasis elimination settings to determine...
Background: Although deep learning models have improved individual PET analysis, image processing an...
Abstract Background Tuberculosis (TB) remains a major public health challenge in Nepal, with inciden...