AI Medical Compendium

Comment on "Artificial Intelligence-Enabled Novel Atrial Fibrillation Diagnosis System Using 3D Pulse Perception Flexible Pressure Sensor Array".

ACS sensors Mar 5, 2026

From principle to practice: Developing a digital-age clinical artificial intelligence ethics competence framework through early-career doctors' experiences.

Medical education Mar 5, 2026

INTRODUCTION: As artificial intelligence (AI) becomes increasingly embedded in clinical workflows, clinicians encounter ethical challenges that traditional, principle-based medical ethics education may not adequately address. Empirical evidence on cl... read more

Bridging Science and Subjectivity: Evolving Evidence, Emerging Technologies and the Call for Personalised Psychotherapy: Créer une passerelle entre la science et la subjectivité : Évolution des données probantes, arrivée de nouvelles technologies et appel à une psychothérapie personnalisée.

Canadian journal of psychiatry. Revue canadienne de psychiatrie Mar 5, 2026

Psychotherapy Research in the Era of Digital Health and AIThe integration of digital health technologies and artificial intelligence (AI) into psychotherapy research represents a transformative shift in mental health care. Traditional psychotherapy r... read more

Field Foresight-Predicting the Need for Massive Transfusion, ICU Utilization, and Mechanical Ventilation for Traumatically Injured Patients.

Military medicine Mar 5, 2026

INTRODUCTION: Expeditiously predicting outcomes is essential to allocating blood and intensive care resources. We hypothesize the use of external injuries and vital signs collected early after injury will improve artificial intelligence (AI) triage p... read more

A machine learning-assisted Ag-TiO2 SERS platform for intraoperative osteomyelitis diagnosis.

Nanoscale Mar 5, 2026

Osteomyelitis is a progressive bone infection with high disability and recurrence rates. However, current diagnostic approaches, including bacterial culture, imaging, and serological assays, suffer from poor sensitivity, low specificity, and delayed ... read more

AI task-shifting for echocardiographic LVEF assessment in Singapore: an economic evaluation.

ESC heart failure Mar 5, 2026

BACKGROUND: Accurate assessment of left ventricular ejection fraction (LVEF) is crucial for heart failure (HF) diagnosis but requires skilled sonographers. Artificial intelligence-enabled point-of-care (AI-POC) devices may enable novices to assess LV... read more

Differentiation of Benign and Malignant Cervical Lymph Nodes Using a Multi-Modal Ultrasound-Based Machine Learning Model with SHAP Interpretability.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Mar 5, 2026

OBJECTIVES: To evaluate the diagnostic value of a machine learning (ML) model based on multi-modal ultrasound features in differentiating benign from malignant cervical lymph nodes, and to provide a visual interpretation of model decisions using shap... read more

A framework for identifying the polyploid complex in Rorippa (Brassicaceae): combining trait evolution, herbarium records, and machine learning.

Annals of botany Mar 5, 2026

BACKGROUND AND AIMS: Species identification in polyploid plants remains challenging due to morphological continuity and genomic redundancy. Such taxonomic uncertainties obscure evolutionary or ecological inference. A critical solution involves the re... read more

Federation Opacity and the Promise of Federated Learning in Healthcare.

The American journal of bioethics : AJOB Mar 5, 2026

Federated learning (FL) is a machine learning (ML) approach that allows multiple devices or institutions to collaboratively train an ML model without sharing their local data with a third-party. It has recently received significant attention as a pro... read more

Ultrasonic-shear exfoliated multi-layer graphene flakes for enhanced triboelectric nanogenerator performance toward wearable self-powered applications.