AI Medical Compendium

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

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

Clinically-guided models or foundation models? predicting cervical spondylotic myelopathy from electronic health records.

NPJ digital medicine Jan 20, 2026

Cervical spondylotic myelopathy (CSM) is the leading cause of spinal cord dysfunction in older adults, yet diagnosis is frequently delayed due to insidious symptom onset and limited clinical recognition. We developed and externally validated machine ... read more

A zero-shot learning framework for chilli leaf disease detection, classification and severity estimation using contrastive image text representations.

Scientific reports Jan 20, 2026

Agricultural productivity is severely affected by the late identification of chilli leaf diseases, which often require manual inspection and frequent model retraining. Conventional deep learning models perform well on known classes but fail to recogn... read more

Cha-PO and CVNet: a hybrid approach for automated cataract detection using adaptive feature selection and deep learning for high accuracy and efficiency.

Scientific reports Jan 20, 2026

Early detection of cataract is crucial for thwarting visual impairment worldwide, and the utilization of automated cataract detection through medical images has shown increased growth for several years. The automated detection model comprises image p... read more

An artificial intelligence-powered learning health system to improve sepsis detection and quality of care: a before-and-after study.

NPJ digital medicine Jan 20, 2026

Sepsis is a major global health crisis where early recognition and effective management remain significant challenges for healthcare systems. As part of the Lausanne University Hospital sepsis quality of care program, we developed and validated an Ar... read more

Artificial Intelligence Medical Compendium

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

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

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

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

A channel water temperature prediction method based on transfer learning and spatial-temporal graph neural networks.

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

Clinically-guided models or foundation models? predicting cervical spondylotic myelopathy from electronic health records.

A zero-shot learning framework for chilli leaf disease detection, classification and severity estimation using contrastive image text representations.

Cha-PO and CVNet: a hybrid approach for automated cataract detection using adaptive feature selection and deep learning for high accuracy and efficiency.

An artificial intelligence-powered learning health system to improve sepsis detection and quality of care: a before-and-after study.

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