Artificial Intelligence Medical Compendium

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

Showing 39,121 to 39,130 of 223,737 articles

Large-scale plasma proteomics for predicting future cardiovascular and all-cause mortality among individuals with cardiovascular-kidney-metabolic syndrome stage 0-3.

Metabolism: clinical and experimental
BACKGROUND: Identifying high-risk individuals for cardiovascular and all-cause mortality among individuals with cardiovascular-kidney-metabolic (CKM) syndrome stage 0-3 can guide the implementation of targeted interventions. This study aimed to evalu... read more 

Automated estimation of perivascular space and brain morphometry from deep learning-reconstructed three-dimensional T1-weighted MRI: comparison with the conventional technique.

Journal of neuroradiology = Journal de neuroradiologie
PURPOSE: To evaluate the utility of deep learning-based reconstruction (DLR) three-dimensional T1-weighted imaging (T1-WI) in improving fine structural delineation through the automated estimation of brain morphometry and perivascular space (PVS). MA... read more 

Ethics of artificial intelligence in aesthetic dermatology.

Journal of the American Academy of Dermatology
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DeepSTFSynergy: A multi-scale structural information fusion method for personalized drug combination prediction.

Journal of biomedical informatics
Efficiently predicting drug synergy is crucial for developing personalized cancer combination therapy regimens. However, existing methods primarily focus on single-scale structural information and fail to explicitly model the interactions between mul... read more 

Convolutional neural networks detected changes in facial expressions of mice that had conditioned fear stress.

Neuroscience
Animal models are essential for studying aversive states such as fear and pain. Facial expressions may provide non-invasive readouts of aversive states in animals. This study investigated whether changes in facial expressions, which are potentially c... read more 

Artificial intelligence guided occlusion reconstruction in nonoccluding CBCT: A validation study.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: Cone beam computed tomography (CBCT) scans acquired with interocclusal separation improve stability and reduce motion artifacts but lack reliable occlusal contacts. Accurately reconstructing occlusion is critical for diagnosis, ... read more 

Machine learning for evolutionary genetics and molecular evolution.

Trends in genetics : TIG
Over the past decade, the rapid expansion of large-scale data and advances in computational power have allowed machine learning (ML), especially deep learning, to reshape many areas of biological research. Evolutionary genetics and molecular evolutio... read more 

Integrating Artificial Intelligence into Prostate MR Imaging: Technical Foundations, Clinical Applications, and Workflow Implications.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
Prostate MRI has become a cornerstone of contemporary prostate cancer diagnosis, enabling improved detection of clinically significant disease while reducing unnecessary biopsies and overtreatment. However, prostate MRI remains technically demanding,... read more