Artificial Intelligence Medical Compendium

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

Showing 50,131 to 50,140 of 224,814 articles

An intelligent healthcare framework for hepatocellular carcinoma diagnosis based on aggregated learners from biomedical data utilising explainable artificial intelligence.

Scientific reports Feb 16, 2026
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Brain tumor classification using optimized ResNet50 with dynamic precision optimization for enhanced speed and diagnostic accuracy.

Scientific reports Feb 16, 2026
The detection and classification of brain tumors remain a major challenge in the medical field due to their morphological complexity. In this study, by optimizing a model from the ResNet family and applying architectural modifications, including the ... read more 

The efficacy of integrating assistive technology and the CAPE lesson planning framework toward improving students' speaking skills.

Scientific reports Feb 16, 2026
To examine whether integrating Apple's Siri with the CAPE lesson framework improves EFL speaking outcomes versus PPP. Method, a mixed-methods research design was used to provide evidence for the efficacy of this framework. Pre/Posttest and interview ... read more 

Deciphering the 2-MIB production mechanism in Actinobacteria: the interplay of synthesis enzymes, nutrient metabolism, and seasonal regime.

Water research Feb 16, 2026
The multifaceted regulatory network by which Actinobacteria transition from microbial quiescence to active 2-methylisoborneol (2-MIB) production in response to environmental cues remains poorly defined. To elucidate this complex system, an integratio... read more 

Advances and challenges in the application of metagenomic sequencing for the diagnosis and treatment of infectious diseases: from pathogen spectrum identification to personalized antimicrobial strategies.

Diagnostic microbiology and infectious disease Feb 16, 2026
Infectious diseases remain a major global public health concern, demanding rapid and accurate identification of pathogens. Although conventional diagnostic methods such as culture, PCR, and immunological assays are widely used, they are limited by lo... read more 

Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammograms.

Medical image analysis Feb 16, 2026
Early detection of breast cancer (BC) through mammography screening is critical for reducing mortality and improving patient outcomes. However, full-population-based, age-driven screening might not lead to optimal resource use and may enlarge screeni... read more 

Enhancing uncertainty assessment in dynamic PET imaging with residual permutation and clustering.

Medical image analysis Feb 16, 2026
Quantitative positron emission tomography (PET) is widely used for disease diagnosis and therapy monitoring, yet the reliability of kinetic parameters depends on robust uncertainty quantification. Existing Bayesian methods are computationally demandi... read more 

Noninvasive Assessment of the Ulnar Nerve in the Upper Extremity Using Machine Learning.

Journal of hand surgery global online Feb 16, 2026
PURPOSE: The purpose of this study was to develop a machine learning algorithm trained on ultrasound images of the cubital tunnel that can be used to automatically identify, segment, and measure the cross-sectional area (CSA) of the ulnar nerve. METH... read more 

Vascular Age: A narrative review of assessment methods, clinical applications, and future directions.

International journal of cardiology. Cardiovascular risk and prevention Feb 16, 2026
Cardiovascular disease (CVD) is the leading cause of death and disability globally, highlighting the importance of effective risk assessment and early intervention. However, traditional risk assessment models based on common risk factors have limitat... read more 

Cognition beyond relapses: cognitive progression independent of relapse activity reflects early smoldering neurodegeneration in multiple sclerosis.

Multiple sclerosis and related disorders Feb 16, 2026
BACKGROUND: Progression independent of relapse activity (PIRA) is frequent in relapsing-remitting MS patients (RRMS). While often studied in terms of physical disability, cognitive decline occurring without relapses, termed "cognitive PIRA", has also... read more 
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