AI Medical Compendium

Periodontitis Prediction Model Using Linked Electronic Health and Dental Records.

JDR clinical and translational research Feb 11, 2026

INTRODUCTION: Periodontal disease (PD) is closely linked to systemic health, with established associations with chronic conditions (eg, diabetes, cardiovascular disease). However, most predictive models rely solely on dental data, limiting the consid... read more

Machine learning prediction of cardiovascular disease risk progression from sulfur dioxide exposure in longitudinal population studies in China.

BMC cardiovascular disorders Feb 11, 2026

Interpretable machine learning for cognitive impairment assessment: integration of clinical and radiomic white matter hyperintensities features.

Journal of translational medicine Feb 11, 2026

Comparative analysis of supervised machine learning models for predicting surgeon fixation choice in total knee arthroplasty.

BMC medical informatics and decision making Feb 11, 2026

PUMAA: Establishing a protocol for utilizing machine learning in forensic anthropological analyses.

Journal of forensic sciences Feb 11, 2026

The use of machine learning (ML) models in forensic anthropology (FA) has increased in the last half decade; however, there is a lack of a standardized protocol on how to curate, use, and assess ML models. We introduce PUMAA (A Protocol for Utilizing... read more

A geometric deep learning framework for genome-wide prediction of enzyme turnover number.

Genome biology Feb 11, 2026

BACKGROUND: Enzyme turnover numbers (Kcat) are fundamental kinetic constants that quantify enzymatic efficiency. Systematic studies of Kcat are essential for characterizing the mechanisms underlying proteomic composition and cellular metabolism. Howe... read more

A multi-branch ensemble learning framework for detection of non-small cell lung cancer via T-cell receptor sequencing.

BMC cancer Feb 11, 2026

Machine learning-based prediction of long-term prognosis in cervical adenocarcinoma: a retrospective cohort study.

BMC cancer Feb 11, 2026

A deep learning model based on ultrasound imaging to differentiate malignant from benign pleural effusion: a multicenter cohort study.

Respiratory research Feb 11, 2026

Deep capsule neural network for identifying anticancer peptides using sequence to image transformation-based local embedded features.

BMC biology Feb 11, 2026

BACKGROUND: Globally, cancer is a major health issue that poses a significant threat to human health. Traditional treatments and laboratory-based methods have been extensively employed to treat cancer-affected cells. However, their high processing co... read more

Artificial Intelligence Medical Compendium

Periodontitis Prediction Model Using Linked Electronic Health and Dental Records.

Machine learning prediction of cardiovascular disease risk progression from sulfur dioxide exposure in longitudinal population studies in China.

Interpretable machine learning for cognitive impairment assessment: integration of clinical and radiomic white matter hyperintensities features.

Comparative analysis of supervised machine learning models for predicting surgeon fixation choice in total knee arthroplasty.

PUMAA: Establishing a protocol for utilizing machine learning in forensic anthropological analyses.

A geometric deep learning framework for genome-wide prediction of enzyme turnover number.

A multi-branch ensemble learning framework for detection of non-small cell lung cancer via T-cell receptor sequencing.

Machine learning-based prediction of long-term prognosis in cervical adenocarcinoma: a retrospective cohort study.

A deep learning model based on ultrasound imaging to differentiate malignant from benign pleural effusion: a multicenter cohort study.

Deep capsule neural network for identifying anticancer peptides using sequence to image transformation-based local embedded features.

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