Artificial Intelligence Medical Compendium

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

Showing 57,661 to 57,670 of 227,388 articles

Predicting Return Home After Moderate-to-Severe Traumatic Brain Injury.

Neurology Jan 28, 2026
BACKGROUND AND OBJECTIVES: Days alive and at home (DAH) is a validated outcome measure that captures health care transitions between time spent at home vs various nonhome care settings, offering a more nuanced patient-centered understanding of recove... read more 

The Development and Use of AI Chatbots for Health Behavior Change: Scoping Review.

Journal of medical Internet research Jan 28, 2026
BACKGROUND: Artificial intelligence (AI) chatbots are technologies that facilitate human-computer interaction through communication in a natural language format. By increasing cost-effectiveness, interaction, autonomy, personalization, and support, m... read more 

Ethical Knowledge, Challenges, and Institutional Strategies Among Medical AI Developers and Researchers: Focus Group Study.

Journal of medical Internet research Jan 28, 2026
BACKGROUND: As artificial intelligence (AI) becomes increasingly embedded in clinical decision-making and preventive care, it is urgent to address ethical concerns such as bias, privacy, and transparency to protect clinician and patient populations. ... read more 

Machine Learning Techniques Used for the Identification of Sociodemographic Factors Associated With Cancer: Systematic Literature Review.

Journal of medical Internet research Jan 28, 2026
BACKGROUND: Cancer remains one of the foremost global causes of mortality, with nearly 10 million deaths recorded by 2020. As incidence rates rise, there is a growing interest in leveraging machine learning (ML) to enhance prediction, diagnosis, and ... read more 

Generative deep learning synthesizes high signal-to-noise ratio sensitivity maps for PET from low count direct normalization data.

Physics in medicine and biology Jan 28, 2026
An accurate and precise normalization procedure is essential to correct for variations in detector efficiency in reconstructed positron emission tomography (PET) images. Direct normalization is a conventional approach that requires a large&#x... read more 

An Efficient 3D Latent Diffusion Model for T1-contrast Enhanced MRI Generation.

Biomedical physics & engineering express Jan 28, 2026
Gadolinium-based contrast agents (GBCAs) are commonly employed with T1-weighted (T1w) MRI to enhance lesion visualization but are restricted in patients at risk of nephrogenic systemic fibrosis and variations in GBCA administration can introduce imag... read more 

Analysis of differential photoplethysmography signal patterns in apnea and hypopnea.

Physiological measurement Jan 28, 2026
OBJECTIVE: Photoplethysmography, a non-invasive optical technique that measures changes in blood volume in the microvascular bed of tissue, offers a promising approach for monitoring physiological changes during sleep. This study evaluates differenti... read more 

Emerging Role of Portable Accelerometers for Assessment of Gait Instability in Idiopathic Normal Pressure Hydrocephalus: A Systematic Review.

Journal of geriatric psychiatry and neurology Jan 28, 2026
BackgroundIdiopathic normal pressure hydrocephalus (iNPH) is a reversible cause of gait disturbance, cognitive decline, and urinary incontinence in older adults. Early detection with shunt surgery can significantly improve symptoms.MethodsA systemati... read more 

Sub-connection Learning for fMRI-based Brain Functional Network.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 28, 2026
Brain functional network analysis models the brain as a graph of regions of interest (ROIs) and quantifies the correlations across different regions derived from functional magnetic resonance imaging (fMRI). Recently, artificial intelligence-based br... read more 

Artificial Intelligence Driven Virtual Screening and Molecular Docking Approaches Identified LIFR, BTG2, EPHX2, and PAK3 as Targets and BI-2536, AP-24534, and AZ-628 as Repurposed Drugs for PDAC.

IEEE transactions on computational biology and bioinformatics Jan 28, 2026
Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive and lethal tumors worldwide, with limited effective treatments. Globally, the incidence of pancreatic cancer is expected to rise to 18.6 per 100,000 by 2050, with an average annual... read more 
Popular Topics
Recent Journals