Artificial Intelligence Medical Compendium

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

Showing 70,161 to 70,170 of 234,131 articles

Association of HbA1c and an updated glucose management indicator (uGMI) with incident diabetic retinopathy in adults with type 1 diabetes: a longitudinal study.

Diabetologia
AIMS/HYPOTHESIS: This study aimed to compare the predictive performance of HbA1c and a continuous glucose monitoring (CGM)-based updated glucose management indicator (uGMI) in assessing incident diabetic retinopathy risk. METHODS: We used the data fr... read more 

Risk prediction models for adverse drug reactions in pediatrics: a scoping review.

International journal of clinical pharmacy
INTRODUCTION: Predictive models play a critical role in enhancing medication safety in clinical practice. While multiple models for adverse drug reactions (ADRs) in adults have demonstrated potential clinical utility, pediatric-specific predictive mo... read more 

AI landmark versus conventional ultrasound-guided injections for adhesive capsulitis: a prospective, propensity score-matched, superiority study.

Medical ultrasonography
AIM: To investigate the artificial Intelligence (AI) landmark for guiding rotator cuff interval injections for adhesive capsulitis (AC). MATERIAL AND METHODS: One hundred fifty-five patients undergoing AI landmark-guided injections were prospectively... read more 

Curvature-aware selective feature interaction network for skin lesion segmentation.

Neural networks : the official journal of the International Neural Network Society
With the increasing prevalence of dermatological diseases, skin lesion segmentation has gained significant attention in medical image analysis. Despite substantial advancements in deep learning-based segmentation methods, there remain two major chall... read more 

Dual-balancing for multi-task learning.

Neural networks : the official journal of the International Neural Network Society
Multi-task learning aims to learn multiple related tasks simultaneously and has achieved great success in various fields. However, the disparity in loss and gradient scales among tasks often leads to performance compromises, and the balancing of task... read more 

POLR2C, HIF1A, CD4, and CREB1 as the identified key regulators in geriatric insomnia: A comprehensive approach using systems biology and machine learning methods.

Computational biology and chemistry
BACKGROUND: Insomnia is a prevalent sleep disorder in older adults with an unknown pathogenesis. This study aims to develop a predictive molecular signature for geriatric insomnia by combining integrated systems biology and a machine learning approac... read more 

Artificial intelligence-powered signal analysis of loop-mediated isothermal amplification (LAMP) for the screening of Kaposi sarcoma at the point of care.

Sensors & diagnostics
Unlike the polymerase chain reaction (PCR), loop-mediated isothermal amplification (LAMP) lacks a consistent thermal cycle, making quantification particularly challenging. Previously, we demonstrated that LAMP can accurately diagnose Kaposi sarcoma (... read more 

Species-specific discrimination of bacterial biofilms using a ratiometric fluorescence sensor array and machine learning.

Sensors & diagnostics
Biofilms are intricate bacterial communities encased in a self-produced extracellular matrix (ECM) of DNA, lipids, proteins, and polysaccharides. The diverse ECM composition across bacterial species significantly influences the progression of biofilm... read more 

In-situ NIR spectroscopy study on microgravity-induced articular cartilage degeneration with ResNet-18.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Articular cartilage (AC) plays a vital role in maintaining joint function, but it is highly vulnerable to degeneration due to the lack of mechanical loading under microgravity and hard to be detected in situ. Near-infrared (NIR) spectroscopy, known f... read more 

An explainable machine learning model for comorbidity risk stratification in patients with fractures admitted to the intensive care unit: a multicenter study.

Archives of gerontology and geriatrics
BACKGROUND: Among traumatic-fracture patients admitted to intensive care units (ICUs), those with substantial chronic comorbidities recover more slowly and die more often than their counterparts without such conditions. The age-adjusted Charlson Como... read more