Artificial Intelligence Medical Compendium

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

Showing 29,341 to 29,350 of 219,931 articles

Deciphering the molecular network of Trichostatin A in regulating Alzheimer's disease screening of core genes and mechanistic investigation based on multidimensional bioinformatics and molecular simulation.

PloS one Apr 20, 2026
BACKGROUND: Histone deacetylases (HDACs) regulate neuroprotection; however, Trichostatin A (TSA), an HDAC inhibitor, lacks clear molecular mechanisms and core targets in Alzheimer's disease (AD), limiting clinical translation. This study aimed to dec... read more 

TinyAct: A framework for real-time action recognition in the cloud through distillation learning.

PloS one Apr 20, 2026
Human action recognition has become increasingly important for applications in security surveillance, healthcare monitoring, and smart environments. However, existing deep learning models typically require substantial computational resources, making ... read more 

Impact of land use on bus driver inattentiveness: Insight into crash risks.

Traffic injury prevention Apr 20, 2026
OBJECTIVE: This study examines how roadside land-uses, namely commercial, residential, educational, and recreational establishments located on a typical Indian Highway, i.e., National Highway, influence the temporally distributed bus driver inattenti... read more 

A cross-dataset harmonized intrusion detection framework with statistically validated multi-model learning.

PloS one Apr 20, 2026
Intrusion Detection Systems (IDS) are considered critical security tools in ensuring network infrastructure security. However, recent studies on machine learning-based IDS systems are often constrained by their heavy dependence on a single dataset, l... read more 

Power transformer online monitoring and state assessment method based on 2DCNN-BiLSTM multi-source feature fusion.

PloS one Apr 20, 2026
As key power system equipment, real-time monitoring and accurate assessment of power transformers' operating status are critical for grid safety. To address deficiencies in existing methods regarding multi-source heterogeneous data fusion, unstructur... read more 

Telemedicine adoption in cardiology: Determinants and predictors identified using Bayesian Model Averaging and Machine Learning.

PLOS digital health Apr 20, 2026
In this secondary analysis of a German cross-sectional survey data, we investigated key determinants and predictors of telemedicine (TM) use among healthcare professionals (HCPs) treating cardiology patients. We applied Bayesian Model Averaging (BMA)... read more 

Enhancing flood prediction through physics-driven typhoon feature engineering and machine learning.

PloS one Apr 20, 2026
Typhoon-induced extreme floods pose severe threats to subtropical watersheds, yet systematic integration of typhoon physics into machine learning flood prediction remains limited. This study developed a physics-informed machine learning framework for... read more 

Clinician-deployable deep hypergraph model integrating clinical and CT radiomics predicts immunotherapy outcomes in NSCLC.

PLOS digital health Apr 20, 2026
Current image-based deep learning models that predict the benefits of immunotherapy in non-small cell lung cancer (NSCLC) require high-performance hardware. We aimed to develop and externally validate a clinician-operable prognostic model that integr... read more 

Popular Online Content as a Treatment-as-Usual Control in Digital Mental Health Intervention Trials: Secondary Analysis of Two Online Randomized Controlled Trials With Repeated Measures.

JMIR mental health Apr 20, 2026
BACKGROUND: Treatment-as-usual (TAU) conditions are intended to reflect the support typically received in routine treatment settings. For digital mental health interventions (DMHIs) delivered online, TAU conditions should reflect the usual patterns o... read more 

CDR-Net: A computerized framework to detect Alzheimer's diseases and mild cognitive impairment.

PloS one Apr 20, 2026
Alzheimer's disease (AD) and mild cognitive impairment (MCI) are two dementia-related brain illnesses that are prevalent among elders in the twenty-first century. MCI is treated as the initial stage of AD, and once the illness reaches the AD stage, t... read more 
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