Artificial Intelligence Medical Compendium

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

Showing 64,891 to 64,900 of 231,605 articles

Ridge-structured PANI with interfacial stress-concentrating: reversible protonation driven high sensitivity over wide pressures.

Journal of colloid and interface science Jan 13, 2026
In research on pressure-sensitive electronic skin (e-skin) for motion and physiological signal monitoring, balancing sensitivity with a broad pressure-sensing range and intelligent sensing capabilities is of critical importance. Inspired by the micro... read more 

Based on the umami-transformer machine learning model: Screening of umami peptides from ultrasound-assisted enzymatic hydrolysis of shiitake mushrooms and study on their flavor mechanism.

Food research international (Ottawa, Ont.) Jan 13, 2026
This study aimed to optimize ultrasound-assisted enzymatic hydrolysis for umami peptide preparation from shiitake mushrooms, develop a reliable predictive screening model for umami peptides, and clarify the molecular mechanism underlying the umami ta... read more 

Mechanism of flavor enhancement by yeast extract and clam extract in ginger-surimi cake: Insights from flavoromics and machine learning.

Food research international (Ottawa, Ont.) Jan 13, 2026
To investigate the differential effects of yeast extract (YE) and clam extract (CE) on the flavor of ginger-surimi cake, this study elucidates their flavor enhancement mechanisms using a flavoromics approach integrating comprehensive two-dimensional ... read more 

Artificial intelligence films for dynamic and sustainable preservation of high-value fruits.

Food research international (Ottawa, Ont.) Jan 13, 2026
Maintaining the postharvest quality of high-value fruits during storage and transportation remains a major challenge due to respiration imbalance, microbial infection, and environmental fluctuations. Recent advances in artificial intelligence (AI)-dr... read more 

Neural networks for faster laser ultrasound tomography in tissue phantoms.

Photoacoustics Jan 13, 2026
Speed of sound (SoS) mapping provides quantitative and localised information about a material's acoustic properties, allowing identification of spatial compositional changes. In biomedical applications, SoS variations can inform tissue characterisati... read more 

Lesion-level prediction of local recurrence after stereotactic radiotherapy for brain metastases using machine learning and mixed-effects modeling.

Neuro-oncology practice Jan 13, 2026
BACKGROUND: The aim of this study was to identify and validate clinically meaningful predictors of local treatment failure (LTF) after stereotactic radiotherapy (SRT) for brain metastases by integrating machine learning (ML)-based feature selection w... read more 

Artificial Intelligence in Neurology and Neuro-Ophthalmology: Current Applications and Future Directions.

Neurologic clinics Jan 13, 2026
Artificial intelligence (AI) is revolutionizing neuro-ophthalmology by enhancing diagnostic accuracy and clinical decision-making. Techniques like deep learning, convolutional neural networks, and transfer learning effectively detect conditions such ... read more 

Predicting Surgical Outcomes and Optimizing Patients for Surgery Using AI.

Clinics in colon and rectal surgery Jan 12, 2026
Artificial intelligence (AI) platforms and machine learning (ML) algorithms provide the ability to utilize large amounts of electronically available data and leverage them to augment physicians' risk assessment and predictive abilities. These tools a... read more 

A research on applying the diffusion model algorithm for Infrared and Raman spectroscopy data augmentation to improve the accuracy of diseases.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 12, 2026
In recent years, Raman and Infrared spectroscopy have become important tools in disease diagnosis due to their high sensitivity and non-invasive detection advantages. Combined with deep learning methods, spectral data can achieve high-precision ident... read more 

Lightweight interpretable AI model using multiple blood parameters for emergency diagnosis of acute appendicitis.

The American journal of emergency medicine Jan 12, 2026
BACKGROUND: Acute appendicitis poses diagnostic challenges due to symptom overlap with other abdominal conditions, often leading to misdiagnosis or missed diagnosis. This study aimed to develop and validate an interpretable machine learning model bas... read more 
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