OBJECTIVE: To determine whether a novel diagnostic platform which pairs high-throughput imaging cytometry with Artificial Intelligence (AI) assisted image analysis can identify ultra-rare sperm in ejaculatory samples deemed clinically azoospermic. DE... read more
BACKGROUND: The purpose of this study was to evaluate the capability of a large language model (LLM) for performing each of the steps of clinical practice guideline development from framing a healthcare question to creating the evidence-to-decision f... read more
OBJECTIVE: Depression is a leading cause of global disability, motivating the development of objective and scalable diagnostic approaches. Quantitative electroencephalography (QEEG) combined with machine learning (ML) and deep learning (DL) technique... read more
Public health in practice (Oxford, England)
Apr 24, 2026
OBJECTIVES: What are the factors that set the stage for health status and outcomes in the United States (U.S.)? This complex question is rarely considered in a comprehensive way. The current study employs an artificial intelligence analysis to assess... read more
Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver disorder, with manifestations ranging from steatosis to steatohepatitis, advanced fibrosis, cirrhosis, and hepatocellular carcinoma. At all stages, M... read more
BACKGROUND: Recent advances in computational pathology enables AI-assisted diagnosis and risk stratification of breast cancer. This advance in technology will reduce the inconsistent reporting of breast cancer grading using Nottingham Histologic grad... read more
Accurate detection of skin cancer detection using RGB images remains a challenge due to multiple factors including variability in lesion appearance, difference in skin types, and the clinical interpretability of the models. To address these challenge... read more
This paper presents the Multi-Sensor and MTConnect (MSM) dataset, an open-access resource for anomaly detection in computer numerical control (CNC) metal milling. The dataset integrates synchronized signals from sound sensors, accelerometers, current... read more
UNLABELLED: Ultrasound technology enables safe, non-invasive imaging of dynamic tissue behavior, making it a valuable tool in medicine, biomechanics, and sports science. However, accurately tracking tissue motion in B-mode ultrasound remains challeng... read more
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.