Artificial Intelligence Medical Compendium

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

Showing 61,211 to 61,220 of 228,300 articles

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 

Segmentation and calculation of lung fibrosis in IPF mice by 2.5D UNet.

Biomedical physics & engineering express Jan 15, 2026
BACKGROUND: Idiopathic pulmonary fibrosis significantly threatens patient survival and remains a condition with limited effective treatment options. There is an urgent need to expedite the exploration of idiopathic pulmonary fibrosis mechanisms and i... read more 

Machine learning-enhanced nanofiber systems: A new frontier in controlled drug release.

Nanotechnology Jan 15, 2026
The use of machine learning (ML) is reshaping the design and optimization of nanofiber-based drug delivery systems (N-DDS). Electrospun nanofibers offer high surface area, tunable porosity, and versatile drug encapsulation strategies, making them att... read more 

Multi-window temporal analysis for enhanced arrhythmia classification: leveraging long-range dependencies in electrocardiogram signals.

Physiological measurement Jan 15, 2026
OBJECTIVE: Arrhythmia classification from electrocardiograms (ECGs) suffers from high false positive rates and limited cross-dataset generalization, particularly for atrial fibrillation detection where specificity ranges from 0.72 to 0.98 using conve... read more 
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