AI Medical Compendium

The usability and feasibility of a self-compassion chatbot (COMPASS) for youth living with type 1 diabetes.

Diabetic medicine : a journal of the British Diabetic Association Jul 27, 2025

AIM: Although it is well established that youth with type 1 Diabetes (T1D) experience high rates of distress, current clinical care is often under-resourced and unable to provide sufficient or timely psychological support. The current study was desig... read more

A novel DLDRM: Deep learning-based flood disaster risk management framework by multimodal social media data.

Risk analysis : an official publication of the Society for Risk Analysis Jul 27, 2025

The impacted community and humanitarian organizations have used social media platforms extensively over the past 10 years to disseminate information during a disaster. Even though numerous researches have been conducted in recent times to categorize ... read more

Second Competition on Presentation Attack Detection on ID Card

arXiv Jul 27, 2025

This work summarises and reports the results of the second Presentation Attack Detection competition on ID cards. This new version includes new elements compared to the previous one. (1) An automatic evaluation platform was enabled for automatic be... read more

Computer Vision and Pattern Recognition

BioNeuralNet: A Graph Neural Network based Multi-Omics Network Data Analysis Tool

arXiv Jul 27, 2025

Multi-omics data offer unprecedented insights into complex biological systems, yet their high dimensionality, sparsity, and intricate interactions pose significant analytical challenges. Network-based approaches have advanced multi-omics research b... read more

Machine Learning Genomics

A fair machine learning model to predict flares of systemic lupus erythematosus.

JAMIA open Jul 26, 2025

OBJECTIVE: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that disproportionately affects women and racial/ethnic minority groups. Predicting disease flares is essential for improving patient outcomes, yet few studies integrate bo... read more

Tooth shape and sex estimation: a 3D geometric morphometric landmark-based comparative analysis of artificial neural networks, support vector machines, and Random Forest models.

3 Biotech Jul 26, 2025

This study evaluated the performance of three artificial intelligence (AI) algorithms-support vector machine (SVM), artificial neural network (ANN), and Random Forest (RF)-in sex estimation using 3D geometric morphometric data derived from nine perma... read more

Advancing methodological development of artificial intelligence in patient-centered comparative clinical effectiveness research: Patient-Centered Outcomes Research Institute's unique contribution to research done differently.

JAMIA open Jul 26, 2025

BACKGROUND: Recent advancements of Artificial Intelligence (AI) are rapidly transforming clinical research. While this technology offers exciting opportunities, it amplifies existing concerns regarding the need for transparent methodology that foster... read more

Can AI find the cavities in caries prediction and diagnosis?

Evidence-based dentistry Jul 26, 2025

A COMMENTARY ON: Rokhshad R, Banakar M, Shobeiri, P, Zhang P. Artificial intelligence in early childhood caries detection and prediction: a systematic review and meta-analysis. Pediatr Dent. 2024;46:385-394. read more

A classification method for fluorescence emission spectra of anionic surfactants with few-shot learning.

Journal of molecular modeling Jul 26, 2025

CONTEXT: The unregulated use of anionic surfactants poses significant environmental risks, necessitating methods for their rapid and accurate identification. While fluorescence spectroscopy is a powerful tool, its application faces a critical challen... read more

A comprehensive review of neural network-based approaches for drug-target interaction prediction.

Molecular diversity Jul 26, 2025

Predicting Drug-Target Interactions (DTI) is vital for accelerating drug discovery and repurposing. This review assesses the efficacy of neural network-based methods, including Convolutional Neural Networks (CNNs), Graph Neural Networks (GNNs), and T... read more

Artificial Intelligence Medical Compendium