Artificial Intelligence Medical Compendium

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

Showing 20,591 to 20,600 of 216,088 articles

DynaTOF: Time-Resolved Noncontrast Cerebral MR Angiography Using Spatially Modulated RF Saturation.

Magnetic resonance in medicine
PURPOSE: To develop a time-resolved extension of three-dimensional time-of-flight MR angiography, termed Dynamic TOF (DynaTOF), that exploits intrinsic RF saturation behavior to enable noncontrast visualization of cerebrovascular hemodynamics. METHOD... read more 

Unlocking the Full Potential of Health Care Teams: How Artificial Intelligence Can Help.

JMIR AI
Developing effective health care teams is critical to meet the rising complexity in patient care. However, optimizing team composition, interpersonal dynamics, and care processes in complex health care systems requires processing vast amounts of data... read more 

Contribution of Longitudinal Mobile Health Measures in the Dynamic Track of Patients With Major Depressive Disorder: Multiple Centers, Prospective Cohort Study Using Functional Data Analysis and Machine Learning.

JMIR mHealth and uHealth
BACKGROUND: Continuous follow-up for patients with major depressive disorder (MDD) is essential for treatment decisions and a better prognosis. There remains limited evidence regarding the critical issue of depression variation trajectory prediction ... read more 

The Quality and Characteristics of Digital Mental Health Apps: Mixed Methods Study.

JMIR human factors
BACKGROUND: There are around 20,000 mental health apps available in app stores. The Organisation for the Review of Care and Health Apps (ORCHA), a United Kingdom digital health compliance company, has assessed a number of digital mental health apps w... read more 

Field-Free Spin-Splitting-Torque Driven Stochastic Neuron Mimicking the Neuromorphic Imagination for High-Performance Recognition.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The human brain can construct coherent spatial imagery in the absence of sensory input-an "imagination" capability that complementary metal-oxide-semiconductor transistor (CMOS)-based artificial neural networks (ANNs) struggle to replicate with compa... read more 

SCUDDO: An unsupervised clustering algorithm for single-cell Hi-C maps using diagonal diffusion operators.

Bioinformatics (Oxford, England)
MOTIVATION: Advances in high-throughput chromatin conformation capture have provided insight into the three-dimensional structure and organization of chromatin. While bulk Hi-C experiments capture spatio-temporally averaged chromatin interactions acr... read more 

AI-Based Automation for Medication Reconciliation: Scoping Review.

Journal of medical Internet research
BACKGROUND: Medication reconciliation (MedRec) has the potential to improve patient safety by enhancing the continuity of medication information across settings. MedRec involves 3 core tasks: the creation of a best possible medication history, the id... read more 

Predicting minimum toe clearance in older adults on different surfaces from level ground data: A machine learning approach.

Gait & posture
BACKGROUND: Trips are more likely on non-level, carpeted, or obstacle surfaces, whereas minimum toe clearance (MTC) is usually measured on level-ground. Current studies indicate that MTC differs between level and non-level walking, but it's unclear w... read more 

Knowledge, attitudes, and practices toward artificial intelligence in medicine among Chinese physicians: A cross-sectional study from January to March 2024 with analysis of influencing factors.

International journal of medical informatics
BACKGROUND: As artificial intelligence (AI) transforms medicine, understanding physicians' knowledge, attitudes, and practices (KAP) toward AI is crucial. However, large-scale nationwide studies among Chinese physicians are lacking. This study invest... read more 

The potential role of artificial intelligence in the diagnosis of Acanthamoeba keratitis-a scoping review.

Contact lens & anterior eye : the journal of the British Contact Lens Association
BACKGROUND: Acanthamoeba keratitis (AK) is a severe, sight-threatening infectious disease with a rising global incidence, linked to the increasing use of contact lenses. Clinical diagnosis is complicated by the nonspecific nature of early symptoms an... read more