AI Medical Compendium

Standardizing case definitions for hoof lesions and lameness: A scoping review to improve machine learning applications in dairy cattle.

Journal of dairy science Feb 20, 2026

Lameness in dairy cattle, primarily caused by hoof lesions, remains a widespread issue in North America with significant welfare, economic, and sustainability impacts. Although emerging technologies incorporating machine learning offer promising solu... read more

3D Cardiac Magnetic Resonance Substrate Features-Based Machine Learning Model for Post-myocardial Infarction Risk Stratification: a Multicenter Study.

The Canadian journal of cardiology Feb 20, 2026

BACKGROUND: Accurate risk stratification post-myocardial infarction (MI) remains challenging. This study aimed to develop interpretable machine learning (ML) models integrating 3D cardiac magnetic resonance (CMR) substrate features to predict major a... read more

Artificial intelligence-supported polyp detection (CADe) at colonoscopy reduces the detection of high grade dysplasia and invasive cancer.

Endoscopy Feb 20, 2026

Building a durable "rural-to-center" endoscopy artificial intelligence system: practical enhancements for scale.

Endoscopy Feb 20, 2026

Let's Talk Tech: The Role of Technology in Neurology Education.

Seminars in neurology Feb 20, 2026

As a field, neurology can seem complicated, overwhelming, and at times ambiguous and uncertain. However, novel technological developments-including artificial intelligence-can be used to decrease "neurophobia," foster enthusiasm about our specialty, ... read more

From Clinic to Community: An Interpretable Artificial Intelligence Framework for Enamel Caries Detection to Support Public Health Dentistry.

European journal of dentistry Feb 20, 2026

Dental enamel caries is among the most prevalent oral diseases worldwide. Early detection is essential, as incipient lesions can be managed with noninvasive therapies. Conventional methods, such as visual-tactile inspection and radiography, remain li... read more

Artificial intelligence and medicine: an epistemological inquiry.

Medical humanities Feb 20, 2026

Artificial intelligence (AI) in medicine inspires both enthusiasm and concern. It introduces an unprecedented development in the history of knowledge: for the first time, understanding is being generated by a non-human agent. This shift takes on part... read more

Narrative as technology: the role of the medical humanities in responding to emerging biomedical technologies.

Medical humanities Feb 20, 2026

Often, the medical humanities are framed as a corrective to various instrumental inclinations within biomedicine. The humanities, according to this formulation, represent a point of departure from instrumental thinking, a means by which the arts inte... read more

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort.

Open heart Feb 20, 2026

OBJECTIVE: Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk prediction models, such as the Framingham Cardiovascula... read more

Automated Gating of CD34+ Cells in Cord Blood: Performance Evaluation of a Machine Learning-Based ISHAGE Protocol.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Feb 20, 2026

Precise quantification of cellular subsets is fundamental for qualifying grafts and supporting emerging therapies. CD34+ enumeration in cord blood using the ISHAGE protocol exemplifies the operator variability inherent to manual gating. We evaluated ... read more

Artificial Intelligence Medical Compendium