Artificial Intelligence Medical Compendium

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

Showing 621 to 630 of 200,021 articles

The Sieve of Asclepius: A History of Navigating the Medical Literature, From Index to Algorithm.

Annals of internal medicine
For centuries, physicians have lamented the proliferating medical literature. This article traces the evolving strategies by which physicians have attempted to render this literature navigable for the purposes of research, teaching, and patient care.... read more 

Quantitative evaluation of an artificial intelligence-driven remote monitoring system for occlusion assessment using patient-captured images.

The Angle orthodontist
OBJECTIVES: To evaluate the accuracy of an artificial intelligence (AI) model developed by DentalMonitoring for assessing occlusal parameters from patient-acquired intraoral images, using intraoral scanner (IOS)-derived three-dimensional (3D)measurem... read more 

Liquid-liquid phase separation in metabolic engineering: Mechanistic insights, emerging applications, and future challenges.

Biotechnology advances
Mechanistic studies of liquid-liquid phase separation (LLPS) have increasingly revealed that cells achieve multiscale and highly precise regulation of metabolic activities and biochemical reaction networks through the formation of membraneless organe... read more 

Assessing Military Artificial Intelligence Responses to Anterior Cruciate Ligament Injury Frequently Asked Questions.

Military medicine
INTRODUCTION: Artificial intelligence is gaining significant traction, particularly in the orthopedic literature. To date, there has been no published literature on the use of specific military AI tools such as NIPR-GPT. The accuracy, reliability, an... read more 

Detecting inflammatory arthritis in hand smartphone photographs: development and validation of a computer vision model in clinical settings.

Rheumatology (Oxford, England)
OBJECTIVE: Computer vision can classify inflammatory arthritis on smartphone photographs. We aimed to train, validate and judiciously choose a model for detecting hand synovitis from standardized smartphone photographs in a real-world rheumatology ou... read more 

Advances in body composition imaging for diagnosis and monitoring: From radiologic assessment to precision medicine.

Journal of the Chinese Medical Association : JCMA
Body composition (BC) is a key determinant of metabolic risk, treatment tolerance, and long-term outcomes. The distribution of skeletal muscle, visceral adipose tissue (VAT), and ectopic fat provides greater prognostic information than total body wei... read more 

Rethinking cognitive recalibration: Integrating AI into the management of affordances across the life-stages.

The Behavioral and brain sciences
This paper integrates artificial intelligence into affordance management to quantify and simulate perceived opportunities and threats across the life course. Using computer vision, reinforcement learning, and digital twins, we outline methods to capt... read more 

Predicting problem gambling among online sports and race bettors: Assessing the value of machine learning using behavioural and self-reported data.

Journal of behavioral addictions
BACKGROUND AND AIMS: Online gambling operators collect detailed behavioural data that can identify customers at risk of harmful gambling. However, there is limited clarity on how to optimally achieve this in practice, including which variables are mo... read more 

Benchmarking Deep Learning Methods for Cα Atom Prediction in Cryo-EM Density Maps.

Bioinformatics (Oxford, England)
MOTIVATION: With the advancement of cryo-electron microscopy (cryo-EM) into the atomic resolution era, accurate Cα atom modeling has become essential for macromolecular structure determination. However, existing evaluation systems overly rely on full... read more 

Network Methods for Diagonal Integration of Unpaired Single-Cell Multi-Omics Data: A Review.

Bioinformatics (Oxford, England)
MOTIVATION: Advances in single-cell sequencing have enabled multi-omics profiling at unprecedented resolution; however, mass spectrometry-based single-cell proteomics (scMS) remains inherently destructive, precluding simultaneous transcriptomic captu... read more