Artificial Intelligence Medical Compendium

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

Showing 61,951 to 61,960 of 230,319 articles

Cost-effectiveness of lung cancer screening: insights from risk stratification, guidelines, and emerging technologies-a systematic review.

NPJ primary care respiratory medicine Jan 20, 2026
Lung cancer is the leading cause of cancer-related mortality worldwide, with most patients diagnosed at advanced stages. Early detection through screening can significantly reduce mortality, making cost-effectiveness evidence crucial for guiding poli... read more 

Multi-scale EEG feature decoding with Swin Transformers for subject independent motor imagery BCIs.

Scientific reports Jan 20, 2026
High inter-subject variability and the non-stationary nature of EEG signals pose significant challenges for subject-independent Brain-Computer Interfaces (BCIs) leading to poor model generalization. Differences in neural activity patterns, electrode ... read more 
Humans Algorithms Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Imagination

A CT Dataset with RECIST Measurements and Comprehensive Segmentation Masks for Tumors and Lymph Nodes.

Scientific data Jan 20, 2026
The Response Evaluation Criteria in Solid Tumors (RECIST 1.1) protocol is the gold standard for assessing treatment response in oncological clinical trials and routine practice. It requires radiologists to review and select appropriate target lesions... read more 

Machine learning prediction for AML based on 3D genome selected circRNA.

NPJ systems biology and applications Jan 20, 2026
Acute myeloid leukemia (AML) is a clinically aggressive hematologic malignancy driven by complex genetic and epigenetic aberrations. Circular RNAs (circRNAs), characterized by covalently closed structures and exceptional stability, have emerged as pr... read more 

Enhancing dietary management and nutritional analysis through deep learning: a multi-model approach for food classification and volume estimation.

Scientific reports Jan 20, 2026
Nutrition and diet play pivotal roles in fostering a healthy lifestyle. Effective dietary management requires precise identification and analysis of consumed foods. However, manual tracking is susceptible to inefficiencies and human error. This resea... read more 

Predicting tourism growth in Saudi Arabia with machine learning models for vision 2030 perspective.

Scientific reports Jan 20, 2026
Tourism has become a central pillar of Saudi Arabia's Vision 2030, supporting national efforts to diversify the economy and reduce reliance on oil revenues. As the Kingdom expands its religious, recreational, heritage, and sports tourism sectors, acc... read more 

Knowledge-based question answering using graph neural networks and contextual language representations.

Scientific reports Jan 20, 2026
This work introduces a novel question answering (QA) framework that integrates commonsense knowledge from ConceptNet with deep contextual embeddings from BERT using a graph neural network for structured reasoning. For each question-answer pair, the s... read more 

Compressive strength prediction of carbonated recycled aggregate concrete using regression based machine learning models.

Scientific reports Jan 20, 2026
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A channel water temperature prediction method based on transfer learning and spatial-temporal graph neural networks.

Scientific reports Jan 20, 2026
Accurate water temperature forecasting during winter operation periods is critical for the North Extension of the Eastern Route of the South-to-North Water Diversion Project, yet remains challenging due to limited historical data and sparse monitorin... read more 

A study on the coupling mechanism between the urban environment and depression perception based on deep learning and street view image.

Scientific reports Jan 20, 2026
With the accelerated urbanization process, the impact of the urban environment on the mental health of residents has attracted extensive attention. However, previous research has primarily focused on single environmental factors, lacking a systematic... read more 
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