AI Medical Compendium

Guiding principles for using artificial intelligence to simplify and translate Mohs micrographic surgery educational materials.

Journal of the American Academy of Dermatology Feb 17, 2026

Differentiation between psychotic and non-psychotic major depression by the tabular prior-data fitted network.

Journal of affective disorders Feb 17, 2026

BACKGROUND: Misdiagnosing psychotic major depression (PMD) as non-psychotic major depression (NPMD) can lead to poor treatment outcomes. This study aims to develop and validate a machine learning-based model using electronic medical record (EMR) data... read more

Mapping knowledge landscapes and emerging trends in AI for coronary artery disease imaging biomarkers: A bibliometric and visualization analysis.

Current problems in cardiology Feb 17, 2026

BACKGROUND: With the rapid advancement of artificial intelligence (AI) in medical imaging, its application to coronary artery disease (CAD) imaging biomarkers has become a key area of interdisciplinary research. Understanding the current developmenta... read more

ESMO adaptation of Lines of Systemic Therapy (EnLiST): a consensus framework for standardising the designation of lines of therapy in solid tumours.

Annals of oncology : official journal of the European Society for Medical Oncology Feb 17, 2026

Enumeration of lines of therapy (LoT) is critical across oncology for ensuring optimal patient care, establishing uniform eligibility for clinical trial enrolment, standardising use of real-world data and pooling data for research purposes. Building ... read more

Learning the forest before the trees: artificial intelligence and thymic tumour pathology.

Annals of oncology : official journal of the European Society for Medical Oncology Feb 17, 2026

Hypoglycemia problem-solving ability as a key predictor of severe hypoglycemia: a machine learning approach in adults with type 1 diabetes.

Diabetology international Feb 17, 2026

AIMS/INTRODUCTION: Severe hypoglycemia (SH) is a major complication in adults with type 1 diabetes mellitus (T1DM). The multifactorial etiology of T1DM highlights the need for predictive tools that integrate clinical, behavioral, and technological fa... read more

Spironolactone and Fibrosis in Heart Failure Risk: Machine Learning Analysis of HOMAGE Trial Plasma Proteomics.

MedComm Feb 17, 2026

In the HOMAGE (Heart Omics in AGEing) trial, spironolactone reduced serum concentrations of procollagen Type I C-terminal propeptide (PICP), a fibrosis biomarker, in patients at risk of heart failure. To elucidate the underlying mechanisms, multidime... read more

Non-invasive ovulation tracking enables genetic engineering in wild rodents.

Cell reports methods Feb 17, 2026

Many non-model rodent species are inaccessible to genetic engineering due to our limited understanding of their reproductive biology. Here, we present a low-cost, camera-based estrous-tracking technology that enables transgenesis in the white-footed ... read more

Utilization and prospects of artificial intelligence in the diagnosis, prediction, and treatment of erectile dysfunction.

Sexual medicine Feb 17, 2026

INTRODUCTION: Erectile dysfunction (ED) represents a significant global public health challenge in men's health, with its prevalence exacerbated by population aging. Given the rapid advancement of artificial intelligence (AI) in healthcare, there is ... read more

Machine learning-driven flavoromics: Decoding stage-specific volatile compound dynamics and sensory deterioration in stored infant formula.

Food chemistry Feb 17, 2026

Infant formula (IF) is a vital nutritional source for infants. However, its sensory quality deteriorates during prolonged storage, impacting consumer acceptance. This study investigated the stage-specific sensory deterioration mechanisms and the pred... read more

Artificial Intelligence Medical Compendium