Artificial Intelligence Medical Compendium

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

Showing 63,561 to 63,570 of 230,801 articles

Transforming mental health research and care through artificial intelligence.

Science (New York, N.Y.) Jan 15, 2026
Artificial intelligence (AI) holds transformative potential for the care of people with mental health illnesses. This Review explores key domains and emerging applications of AI in mental health, emphasizing the challenges that must be addressed to e... read more 
Humans Artificial Intelligence Mental Disorders Mental Health

Reconstruction of Facial Bony Defects Using 3D Printed Polylactic Acid/β-Tricalcium Phosphate Bioimplant.

The Journal of craniofacial surgery Jan 15, 2026
Reconstruction of facial defects requires highly accurate techniques that utilize modern effective technologies. 3D printing has revolutionized the field of reconstructive surgery. The introduction of new materials, devices, and technologies that uti... read more 

DPM: A Deep Learning and Optimal Transport Framework for Cost-Effective Spatial Metabolomics.

Analytical chemistry Jan 15, 2026
Mass spectrometry imaging (MSI) is a powerful technology in spatial metabolomics that enables the in situ detection and distribution analysis of metabolites in tissue sections. However, the high cost associated with high-resolution and multislice MSI... read more 

Mild Cognitive Impairment Detection System Based on Unstructured Spontaneous Speech: Longitudinal Dual-Modal Framework.

JMIR medical informatics Jan 15, 2026
BACKGROUND: In recent years, the incidence of cognitive diseases has also risen with the significant increase in population aging. Among these diseases, Alzheimer disease constitutes a substantial proportion, placing a high-cost burden on health care... read more 
Humans Female Aged Aged, 80 and over Male Speech China Cognitive Dysfunction Longitudinal Studies Memory, Episodic

Evaluating In-Context Learning in Large Language Models for Molecular Property Regression.

Journal of computational chemistry Jan 15, 2026
Large language models (LLMs) demonstrate strong performance in natural language tasks, but their capacity for genuine in-context learning (ICL) in scientific regression remains unclear. We systematically assessed seven LLMs on molecular property pred... read more 

Application of deep learning to single-shot gas-phase laser-induced breakdown spectroscopy.

Optics letters Jan 15, 2026
Single-shot fs laser-induced breakdown spectroscopy (LIBS) has the potential to capture ns-scale electrode desorption phenomena in pulsed power fusion drivers. However, the successful implementation of the diagnostic for this purpose is challenging, ... read more 

Deep learning-assisted metalens imaging over a wide depth of field.

Optics letters Jan 15, 2026
Miniaturized lenses with a large depth of field and high imaging quality are desirable for compact optical systems, as they eliminate the need for lens switching and repeated refocusing. Metalenses, composed of flat, subwavelength nanostructures, are... read more 

Experimental demonstration of coherent beam combination by a simulation-trained deep neural network.

Optics letters Jan 15, 2026
For phase retrieval in a coherent beam combining of 7 fiber amplifiers arranged in a tiled aperture experiment, we demonstrate the feasibility of direct implementation of a light-weight deep-learning model trained on simulated data only. Deep-learnin... read more 

Optical Hopfield neural networks with enhanced storage capacity.

Optics letters Jan 15, 2026
Hopfield neural networks, classic examples of associative memories, are well-established models for pattern storage and retrieval. However, the original Hopfield network, characterized by quadratic interactions among neurons, exhibits limited storage... read more 

PIPN: Physics-inspired phase retrieval network for propagation-based X-ray phase-contrast imaging.

Optics letters Jan 15, 2026
Propagation-based X-ray phase-contrast imaging (PB-XPCI) can produce high-resolution images of soft tissue. However, this usually requires extracting the phase shift from intensity measurement at a single propagation distance through phase retrieval-... read more 
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