AI Medical Compendium

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

Machine learning model optimization with optuna for accurate prediction of strength and crack behavior in prestressed concrete beams.

Scientific reports Jan 20, 2026

Prestressed concrete beams are widely used in bridge and building structures, and their performance is directly related to the overall safety and durability. To predict the performance of prestressed concrete beams, machine learning (ML) has been wid... read more

Role of MRI radiomics in deep learning-based prediction of intestinal diseases.

International journal of colorectal disease Jan 20, 2026

BACKGROUND: Magnetic resonance imaging (MRI) is widely used for the diagnosis, evaluation, and follow-up of intestinal diseases. With advances in artificial intelligence, MRI radiomics and deep learning have emerged as promising tools for prognostic ... read more

Humans Prognosis Radiomics Deep Learning Magnetic Resonance Imaging Intestinal Diseases

Data-driven classification of ordinary chondrites and asteroidal metal potential evaluation.

Scientific reports Jan 20, 2026

Integrative multimodal hybrid data fusion for mortality prediction.

Scientific reports Jan 20, 2026

Multimodal Machine Learning (MML) methods address various efficient ways of driving insights from various data modalities, e.g., in healthcare settings, tabular electronic health records along with other modalities, such as medical imaging, electroca... read more

Evaluation of three artificial intelligence chatbots for generating clinical hematology multiple choice questions for medical students.

Scientific reports Jan 20, 2026

Innovative impact of artificial intelligence and management in rural revitalization under fuzzy based decision-making approach.

Scientific reports Jan 20, 2026

Artificial Intelligence Medical Compendium

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.

Machine learning model optimization with optuna for accurate prediction of strength and crack behavior in prestressed concrete beams.

Role of MRI radiomics in deep learning-based prediction of intestinal diseases.

Data-driven classification of ordinary chondrites and asteroidal metal potential evaluation.

Integrative multimodal hybrid data fusion for mortality prediction.

Evaluation of three artificial intelligence chatbots for generating clinical hematology multiple choice questions for medical students.

Innovative impact of artificial intelligence and management in rural revitalization under fuzzy based decision-making approach.

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