Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 48,561 to 48,570 of 224,513 articles

Task-aware multiple instance learning for stress detection from facial video data.

Journal of affective disorders
Stress is a prevalent condition linked to a wide range of mental and physical health disorders. Timely detection of stress is critical for enabling early interventions and promoting long-term well-being. Traditional detection methods based on physiol... read more 

Age-related neural dynamics revealed by time-domain fNIRS decoding of audiovisual dual-task processing.

Behavioural brain research
Healthy aging is accompanied by widespread changes in cortical structure and function, particularly within networks supporting multisensory integration and cognitive control. However, it remains unclear whether age-related neural alterations can be r... read more 

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

Journal of dairy science
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
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 

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

Seminars in neurology
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
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
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
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