Artificial Intelligence Medical Compendium

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

Showing 29,051 to 29,060 of 219,647 articles

Machine learning insights into land surface temperature variability and prediction: a spatiotemporal approach with feature importance and uncertainty analysis.

Environmental monitoring and assessment
Land surface temperature (LST) is a critical parameter in climate studies, influenced by meteorological and anthropogenic factors. This study integrates multiple satellite-derived products including MODIS land surface temperature (MOD11A1) and NDVI (... read more 

In vivo CAR-cell therapy: current challenges and emerging therapeutic advances.

Molecular biomedicine
In vivo chimeric antigen receptor (CAR) cell therapy is undergoing a transformative shift from conventional ex vivo manufacturing toward in situ cellular editing, aiming to generate functional CAR-engineered immune cells directly within patients thro... read more 

What next for artificial intelligence?

Postgraduate medical journal
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The utility of Speech and Language analytics for screening Alzheimer's Disease.

Neuro-degenerative diseases
BACKGROUND: Effective screening and cohort enrichment remain major challenges in clinical trials for Alzheimer's disease (AD), where traditional diagnostic pathways rely on costly, invasive, and time-consuming procedures. Speech and language analysis... read more 

An AI Based Screening Tool for Detection of Cerebral Venous Thrombosis on Non-Contrast Brain CT.

Cerebrovascular diseases (Basel, Switzerland)
While non-contrast computed tomography (NCCT) is the primary ‎imaging modality in emergency settings, it has a low sensitivity for detection of ‎Cerebral Venous Thrombosis (CVT). This study aims to develop an Artificial ‎Intelligence (AI) tool to scr... read more 

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
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
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
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
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
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