Artificial Intelligence Medical Compendium

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

Showing 55,891 to 55,900 of 226,731 articles

Multi-dimensional EEG analysis reveals distinct neurophysiological patterns in Alzheimer's and frontotemporal dementia.

Journal of neuroengineering and rehabilitation Feb 1, 2026
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ANN trained by BBO for modeling of fly ash cementitious systems with high range water reducing admixtures.

Scientific reports Feb 1, 2026
This study aims to develop artificial intelligence (AI) models for predicting the compressive strength and flow value of cementitious systems containing fly ash, influenced by various high-range water-reducing admixtures (HRWRAs) that differ in molec... read more 

Machine learning-based prognostic model for local control prediction in lung cancer patients undergoing stereotactic body radiation therapy: a preliminary study.

European journal of medical research Feb 1, 2026
PURPOSE: Predicting local recurrence after stereotactic body radiation therapy (SBRT) for lung cancer remains challenging. This study aims to develop a machine learning (ML)-based prognostic model for local control (LC) prediction by comparing differ... read more 

Integrating network toxicology, machine learning, and molecular dynamics simulations to reveal tanshinone iia's dual mechanisms in TNBC and doxorubicin-induced cardiotoxicity.

Scientific reports Feb 1, 2026
Doxorubicin (Dox)-induced cardiotoxicity remains a critical barrier to optimizing breast cancer (BC) treatment, highlighting the urgent need to dissect its toxicological mechanisms and develop toxicity-mitigating combination strategies; here, we addr... read more 

Diagnosis and grading of steatotic liver disease via clinical and laboratory data using machine learning.

Scientific reports Feb 1, 2026
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3D CSFA-UNet: a unified attention-driven deep learning framework for accurate knee MRI segmentation and osteoarthritis severity classification.

Scientific reports Feb 1, 2026
Although several recent multi-task deep learning methods already perform segmentation and classification jointly, many still face limitations in clinical applicability such as restricted multi-scale context modeling, insufficient attention to clinica... read more 

AI-driven framework for accurate detection of Alzheimer's disease in EEG.

Scientific reports Feb 1, 2026
Alzheimer's Disease (AD) is a rapidly growing neurodegenerative disorder that severely impairs cognitive function, particularly among older adults. Early detection is critical for timely intervention and effective management. While electroencephalogr... read more 

Estimation and optimization of reinforcement parameters for composite material using a machine learning approach.

Scientific reports Feb 1, 2026
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Time-Resolved Fluorescence and Diffuse Reflectance (TRF-DR) Spectroscopy for Heterogeneous Breast Tissue Classification and Tumor Margin Assessment.

Journal of biophotonics Feb 1, 2026
Re-excision rates remain high for early-stage breast cancer patients due to challenges in margin delineation during surgery, such as poorly defined tumor boundaries. Our group has developed a time-resolved fluorescence and diffuse reflectance (TRF-DR... read more 

Enhancing Fluorescence Lifetime Imaging With Differential Transformer.

Journal of biophotonics Feb 1, 2026
Conventional analytical methods for fluorescence lifetime imaging (FLI) require the instrument response function (IRF) alongside temporal fluorescence decay to accurately estimate lifetime parameters. While the IRF remains spatially and temporally in... read more 
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