Artificial Intelligence Medical Compendium

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

Showing 49,281 to 49,290 of 224,513 articles

Artificial intelligence-driven whole-brain cell mapping with highly multiplexed in situ hybridization.

Neuron
Recent advances in three-dimensional single-cell-resolution imaging have begun to link organ-wide and cellular-level research in development and disease. Although powerful, whole-organ imaging remains limited by the inability to stain a broad range o... read more 

Brain-wide mapping of oligodendrocyte organization, oligodendrogenesis, and myelin injury.

Cell
Insulating sheaths of myelin accelerate neuronal communication in the mammalian brain. Oligodendrocytes that produce myelin are generated throughout life to gradually increase myelin coverage, but these dynamics have not been defined brain-wide acros... read more 

Reminders that chatbots are not human can be risky.

Trends in cognitive sciences
Concerns about mental and physical health harms from chatbots are prompting policies mandating ongoing reminders that chatbots are not human. While well-intended, evidence suggests that reminders may be either ineffective or harmful to users. Discove... read more 

Landmark-based deep learning for radiographic screening for developmental dysplasia of the hip in infants: Development and external evaluation with IHDI-guided triage.

Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association
BACKGROUND: In Japan, secondary screening for developmental hip dysplasia has expanded. However, the capacity of screening programs has outpaced the availability of ultrasonography and the number of clinicians who perform and interpret examinations o... read more 

Normal-resolution vs. super-resolution deep learning reconstruction for diagnosis of functionally significant coronary stenosis using cardiac CT.

Journal of cardiovascular computed tomography
BACKGROUND: Super-resolution deep learning reconstruction (SR-DLR) has been developed to reduce image noise and enhance spatial resolution beyond that of normal-resolution deep learning reconstruction (NR-DLR). PURPOSE: To compare the diagnostic perf... read more 

Scaling genomic reanalysis to unlock diagnoses and transform rare disease care.

HGG advances
Genomic reanalysis can identify causative variants for rare diseases as patient phenotypes evolve and gene-disease knowledge expands. Despite its diagnostic value, routine reanalysis is limited by clinician capacity, lack of patient follow-up, data s... read more 

Machine learning guided discovery of water stable metal-organic frameworks for photocatalytic hydrogen production.

Chemical science
With remarkably tunable porosity and modular chemistry, metal-organic frameworks (MOFs) present a versatile platform for photocatalytic hydrogen (H2) production. However, identifying high-performing and water stable MOFs from the vast design space is... read more 

Artificial Intelligence in African Cardiovascular Care: Opportunities, Challenges, and Pathways to Improved Outcomes.

Public health challenges
Cardiovascular disease (CVD) remains a leading cause of morbidity and mortality in Africa, accounting for over 1 million deaths annually. As CVD prevalence rises, Africa faces challenges in prevention, diagnosis, and management. Addressing this crisi... read more 

Physic-informed deep operator networks for modeling 2D time-domain electromagnetic wave propagation in various media.

iScience
Accurate prediction of time-domain electromagnetic (EM) waves is essential for designing high-frequency systems in complex environments. Traditional finite-difference time-domain (FDTD) solvers become burdensome when handling a large domain, motivati... read more 

Association between electrocardiographic age and cognitive function: findings from the UK biobank and Framingham Heart Study.

European heart journal. Digital health
AIMS: Biological age derived from 12-lead electrocardiograms (ECGs) using deep learning has emerged as a promising marker of physiological ageing. However, its relationship with cognitive performance remains poorly understood. To investigate the asso... read more