Artificial Intelligence Medical Compendium

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

Showing 58,131 to 58,140 of 227,634 articles

Spatiotemporal patterns and environmental correlates of suicide seasonality in Brazil.

Journal of affective disorders Jan 26, 2026
Suicide exhibits a consistent seasonal pattern worldwide, peaking in late spring and early summer in both hemispheres. Yet, the biological mechanisms and environmental triggers underlying this temporal pattern remain poorly understood. Most studies h... read more 

Machine learning and SHAP-based interpretation of dietary antioxidants' impact on comorbid MDD and suicidal ideation.

Journal of affective disorders Jan 26, 2026
OBJECTIVE: To develop and validate a machine learning model for predicting major depressive disorder (MDD) with suicidal ideation (SI) by incorporating dietary antioxidants, and to elucidate the specific contribution of these antioxidants in the pred... read more 

Cross specialty evaluation of large language model responses on intentional replantation.

Journal of stomatology, oral and maxillofacial surgery Jan 26, 2026
BACKGROUND: The expanding use of LLMs (Large Language Models) for rapid, practical information access has accelerated their integration into medicine and dentistry. Yet inaccuracies and fabricated citations raise concerns about reliability in clinica... read more 

Passive data do not improve prediction or detection of alcohol consumption beyond temporal patterns in major depression: A 90-day cross-validated study.

Addictive behaviors Jan 26, 2026
Major Depressive Disorder (MDD) is one of the most prevalent psychological disorders and frequently co-occurs with alcohol use disorders, increasing the risk of functional impairment. Monitoring alcohol use during depression treatment is therefore cr... read more 

MIL-Adapter: Coupling multiple instance learning and vision-language adapters for few-shot slide-level classification.

Medical image analysis Jan 26, 2026
Contrastive language-image pretraining has greatly enhanced visual representation learning and enabled zero-shot classification. Vision-language language models (VLM) have succeeded in few-shot learning by leveraging adaptation modules fine-tuned for... read more 

Key evidence for personalised nutrition: a review of randomised controlled trials.

Food & function Jan 26, 2026
The field of personalised nutrition is growing and is based on the concept that delivering personalised dietary advice will be more effective than generic healthy eating guidelines for individuals to improve their diet and metabolic health. While the... read more 

Semi-Supervised Hyperspectral Image Classification with Edge-Aware Superpixel Label Propagation and Adaptive Pseudo-Labeling

arXiv Jan 26, 2026
Significant progress has been made in semi-supervised hyperspectral image (HSI) classification regarding feature extraction and classification performance. However, due to high annotation costs and limited sample availability, semi-supervised learnin... read more 
Computer Vision and Pattern Recognition

Cross-Domain Transfer with Self-Supervised Spectral-Spatial Modeling for Hyperspectral Image Classification

arXiv Jan 26, 2026
Self-supervised learning has demonstrated considerable potential in hyperspectral representation, yet its application in cross-domain transfer scenarios remains under-explored. Existing methods, however, still rely on source domain annotations and ar... read more 
Computer Vision and Pattern Recognition

Computational Framework for Estimating Relative Gaussian Blur Kernels between Image Pairs

arXiv Jan 26, 2026
Following the earlier verification for Gaussian model in \cite{ASaa2026}, this paper introduces a zero training forward computational framework for the model to realize it in real time applications. The framework is based on discrete calculation of t... read more 
Computer Vision and Pattern Recognition

Spatial-Conditioned Reasoning in Long-Egocentric Videos

arXiv Jan 26, 2026
Long-horizon egocentric video presents significant challenges for visual navigation due to viewpoint drift and the absence of persistent geometric context. Although recent vision-language models perform well on image and short-video reasoning, their ... read more 
Computer Vision and Pattern Recognition
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