AI Medical Compendium

Triple cardiovascular disease detection with an artificial intelligence-enabled stethoscope (TRICORDER) in the UK: a cluster-randomised controlled implementation trial.

Lancet (London, England) Jan 28, 2026

BACKGROUND: Early detection of cardiovascular disease is a global public health priority. Artificial intelligence (AI)-enabled stethoscopes offer robust performance characteristics in point-of-care detection of heart failure, atrial fibrillation, and... read more

Machine learning to predict elevated lipoprotein(a).

Current opinion in lipidology Jan 28, 2026

PURPOSE OF REVIEW: Lipoprotein(a), Lp(a), is a genetically determined, lifelong risk factor for atherosclerotic cardiovascular disease (ASCVD). Despite broad guideline support for universal one-time testing, Lp(a) measurement remains rare in clinical... read more

EEG-based epileptic seizure prediction with patient-tailored spectral-spatial-temporal feature learning.

Artificial intelligence in medicine Jan 28, 2026

Epilepsy is a chronic brain disorder characterized by recurrent seizures resulting from abnormal brain cell activity. The unpredictability of these seizures underscores the criticality of anticipating and promptly addressing them to enhance the patie... read more

Automated 3D body composition analysis on chest CT scans for survival prediction in high-grade extremity soft tissue sarcomas.

European journal of radiology Jan 28, 2026

INTRODUCTION: High-grade soft tissue sarcomas (STShg) of the extremities are rare cancers with a poor prognosis. Accurate staging at initial evaluation is crucial for determining optimal treatment. Current guidelines recommend systematic chest comput... read more

A navigation-guided 3D breast ultrasound scanning and reconstruction system for automated multi-lesion spatial localization and diagnosis.

Medical image analysis Jan 28, 2026

Handheld ultrasound (HHUS) is indispensable for breast cancer screening but remains compromised by operator-dependent acquisition, subjective 2D interpretation and clock-face annotation. Existing spatial tracking systems for HHUS typically lack integ... read more

Multimodal sparse fusion transformer network with spatio-temporal decoupling for breast tumor classification.

Medical image analysis Jan 28, 2026

Accurate analysis of tumor morphology, vascularity, and tissue stiffness under multimodal ultrasound imaging plays a critical role in the diagnosis of breast cancer. However, manual interpretation across multiple modalities is time-consuming and heav... read more

Active detection of melanoma via a dual-extraction-driven flexible microneedles sensor.

Biosensors & bioelectronics Jan 28, 2026

Wearable microneedles (MNs) biosensors offer significant potential for minimally invasive biomarker detection in interstitial fluid (ISF). However, suboptimal fluid collection efficiency, dermal irritation due to rigid structural components, and inad... read more

Detecting optimal biomarkers in ovarian cancer cells from high-dimensional mRNA expression data using machine learning.

Computer methods and programs in biomedicine Jan 28, 2026

BACKGROUND AND OBJECTIVE: Reliable detection of robust biomarkers from high-dimensional transcriptomic data remains a major challenge in computational oncology. Traditional approaches often suffer from overfitting and poor generalization due to the h... read more

DeepHSI: A transferable and expandable hyperspectral framework for industrial plant origin identification: A case study of Pogostemon cablin (Blanco) Benth.

Talanta Jan 28, 2026

Pogostemon cablin (Blanco) Benth (P.cablin), known for its unique aroma and rich chemical components, occupies an important position in the field of cosmetics, food and medicine. Identifying its origin is crucial for quality control and preventing ad... read more

A predictive mathematical framework for hemoglobin-material interactions: development of a hemoglobin sensitivity index (HSI) for next-generation biomedical applications.

Journal of materials chemistry. B Jan 28, 2026

Current biocompatibility assessment paradigms inadequately predict hemoglobin-material interactions, limiting the rational design of blood-contacting biomedical devices. We developed a hemoglobin sensitivity index (HSI), a predictive mathematical fra... read more

Artificial Intelligence Medical Compendium