Artificial Intelligence Medical Compendium

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

Showing 43,321 to 43,330 of 224,055 articles

Artificial Piezoelectric Interface Enables Ultrafast Interfacial Ion Kinetic for Highly-Sensitive Piezoionic Sensors.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Flexible piezoionic sensors are promising in artificial intelligence and biomedical engineering, while presenting low signal, delayed response, and limited sensitivity. This is mainly because the ion migration kinetics is sluggish at electrode/electr... read more 

Mechanistic Analysis of Large Atomic Models of Molten Salt.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Machine-learned interatomic potential (MLIP) has become a powerful tool to combine the accuracy of quantum mechanics with the efficiency of molecular dynamics in the era of artificial intelligence. However, a key open question persists: what physical... read more 

Bridging Population Patterns and Individual Prediction: Framework for Prospective Multimorbidity Study.

JMIR medical informatics
BACKGROUND: Multimorbidity has become a major global public health challenge. However, existing research primarily emphasizes the identification of disease patterns at the population level and lacks the capacity to provide predictive insights into in... read more 

Artificial Intelligence in Military Graduate Medical Education: Trainee Perceptions and Current Use.

Military medicine
ISSUE: Interest in artificial intelligence (AI) has surged recently, with healthcare being no exception. As free, widely accessible AI interfaces grow more user friendly, AI's impact on medical education is likely to be significant. Research into gra... read more 

Clinical and pathologic correlations of machine learning quantification of Aβ deposits across 3 brain regions of decedents with Alzheimer disease.

Journal of neuropathology and experimental neurology
Machine learning enables scalable quantification of neuropathology, offering deeper phenotyping of Alzheimer's disease (AD). In this validation study, we quantified amyloid-beta (Aβ) deposits, evaluating multiple brain regions across institutions, an... read more 

Quantification of Ki-67 labeling index in pediatric brain tumor immunohistochemistry images.

Journal of neuropathology and experimental neurology
Quantification of the Kiel 67 (Ki-67) labeling index (LI) is critical for assessing proliferation and prognosis in tumors but manual scoring remains a common practice. We present an automated framework for Ki-67 scoring in whole slide images (WSIs) d... read more 

Incidence rate of and risk factors for anorectal diseases in primiparae in the first 6 weeks following delivery.

Journal of perinatal medicine
OBJECTIVES: We aimed to explore the incidence rate of and risk factors for anorectal diseases in primiparae in the first 6 weeks following delivery, and to establish a risk evaluation model for the early identification of high-risk groups and precise... read more 

Generating coordinated bounding locomotion for a small-scale quadrupedal robot with thoracic-pelvic articulation via reinforcement learning.

Bioinspiration & biomimetics
Small-scale cursorial quadrupedal animals coordinate their spines and limbs for rapid and agile locomotion. Although small-scale quadruped robots have demonstrated impressive mobility in various unstructured environments, they rarely fully leverage t... read more 

PIBAdb: a public cohort of multimodal colonoscopy videos and images including polyps with histological information.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Colorectal cancer is the third most common cancer worldwide and presents a high mortality rate. Colonoscopy is the gold standard for screening, as it can reduce its incidence and mortality. Deep Learning techniques have beco... read more