Artificial Intelligence Medical Compendium

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

Showing 53,221 to 53,230 of 225,548 articles

Prediction of the low-temperature properties of electrolyte solvents for lithium-ion batteries via machine learning.

Nanoscale Feb 5, 2026
Electrolytes with low melting points (MPs), high boiling points (BPs), and high dielectric constants (ε) can effectively mitigate performance degradation in lithium-ion batteries (LIBs) under low-temperature conditions. However, the lack of systemati... read more 

Disentangle-and-aggregate feature learning (DAFNet) for motor bearing fault diagnosis.

Scientific reports Feb 5, 2026
To address the issues of parameter redundancy and low computational efficiency in traditional convolutional neural networks (CNNs) for motor bearing fault diagnosis, which are caused by increasing network depth, this paper proposes a Disentangle-and-... read more 

Examining human reliance on artificial intelligence in decision making.

Scientific reports Feb 5, 2026
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A method for structural variant detection using Hi-C contact matrix and neural networks.

Scientific reports Feb 5, 2026
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Comparative analysis of supervised and ensemble models with unsupervised exploration for alzheimer's disease prediction.

Scientific reports Feb 5, 2026
Alzheimer's disease is a progressive neurodegenerative disorder characterized by memory loss and cognitive decline, with no known cure. Early detection of dementia, a primary manifestation of Alzheimer's disease, is critical to enable timely interven... read more 

Development and validation of a machine learning model based on interpretable clinical characteristics for preoperative prediction of Ki-67 expression in pituitary adenomas.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Feb 5, 2026
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Revitalizing actinobacteria research: an urgent response to the antimicrobial resistance crisis.

Natural products and bioprospecting Feb 5, 2026
The crisis of antimicrobial resistance (AMR) is escalating while the antibiotic pipeline remains stagnant. Our bibliometric analysis of eight decades of literature reveals a critical imbalance: research on AMR has grown, yet fundamental research on a... read more 

CCL19 and CCR6 as diagnostic biomarkers for differentiating phyllodes tumors from breast fibroadenomas: a machine learning-driven approach integrating EMT biology.

Discover oncology Feb 5, 2026
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AI-enhanced robotic hands: a breakthrough in early tumour detection and removal.

Journal of robotic surgery Feb 5, 2026
AI-enhanced robotic hands are rapidly reshaping tumour surgery by merging real-time sensing, precision mechanics, and intelligent decision support, yet current systems still struggle with early lesion detection, limited tactile sensitivity, and incon... read more 

The radiomics fingerprint of cartilage tumours: radiomics-based MRI differentiation of enchondroma and atypical cartilaginous tumour.

Japanese journal of radiology Feb 5, 2026
PURPOSE: This study aimed to develop and validate machine learning models based on quantitative radiomics parameters extracted from T1-weighted MRI to differentiate enchondromas from atypical cartilaginous tumours (ACTs). METHODS: A retrospective coh... read more 
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