AI Medical Compendium

Signal-reference correlation for modal structure retrieval in disordered optical fields.

Optics letters May 15, 2026

We experimentally demonstrate a signal-reference modal correlation method for retrieving structured optical modal signatures after propagation through a scattering medium. Hermite-Gaussian and Laguerre-Gaussian modes transmitted through the medium pr... read more

Complication Risk Classification in Children and Adolescents With Type 1 Diabetes: Interpretable Machine Learning Study Based on Saudi Clinical Guidelines.

JMIR formative research May 15, 2026

BACKGROUND: Complication risks in children and adolescents with type 1 diabetes (T1D) can lead to serious health outcomes if not detected early. Despite the availability of clinical data, there remains a gap in interpretable tools that support risk s... read more

Predicting Esthetic Alteration of Resin-Matrix Ceramics Under Thermocycling with A Stacked Ensemble.

The International journal of prosthodontics May 15, 2026

PURPOSE: To investigate the long-term optical properties of CAD/CAM resin-matrix-ceramics (RMCs) under thermocycling and further predict esthetic alteration using machine learning (ML). MATERIALS AND METHODS: Four materials (UP.CAD (UP), Hyramic (Hy)... read more

An Interpretable Multimodal Architecture for the Discovery of High-Efficiency Thermally Activated Delayed Fluorescence Emitters.

ACS nano May 15, 2026

The scarcity of high-quality experimental data often hampers data-driven materials discovery. This work introduces HoloMat-TADF, a holographic machine learning framework that provides predictive and interpretable insights from limited data sets. Its ... read more

Machine learning-enabled microalgal bioprocesses for sustainable biofuel production: a comprehensive review.

Preparative biochemistry & biotechnology May 15, 2026

The pursuit of sustainable alternatives to fossil fuels has significantly accelerated as a result of the global energy crisis and increasing environmental concerns. Owing to their high lipid content, rapid growth rates, and ability to make use of non... read more

Large Language Models and Their Applications in Mental Health: Scoping Review.

JMIR mental health May 15, 2026

BACKGROUND: Large language models (LLMs) are poised to transform mental health care, offering advanced capabilities in diagnosis, prognosis, and decision support. Since their inception, numerous mental health-focused LLMs have emerged in the scientif... read more

Development, Implementation, and Preliminary Results of a Novel Social Network for Rare Disease Communities: Mixed Methods Study.

JMIR human factors May 15, 2026

BACKGROUND: Rare diseases affect approximately 20 million Europeans, presenting unique challenges such as delayed diagnoses, limited therapies, and significant personal and financial burden. While resilience-supporting factors such as peer support ar... read more

Using Digital Phenotyping for Depression Screening in Community-Dwelling Older Adults: Bayesian Multilevel Hurdle Model Machine Learning Approach.

JMIR AI May 15, 2026

BACKGROUND: With the rapidly aging population, mental health among older adults has received growing attention. Although the likelihood of experiencing depressive symptoms is higher in late adulthood, older adults are more reluctant to visit a clinic... read more

The association between artificial intelligence anxiety and occupational anxiety among emergency department healthcare workers.

International emergency nursing May 15, 2026

INTRODUCTION: While the integration of artificial intelligence (AI) into healthcare services has the potential to improve the quality of patient care and the efficiency of clinical processes, it can also lead to increased concerns among healthcare pr... read more

Authors reply: "Development and internal validation of machine learning in predicting prognosis of acute kidney injury patients in resource-limited setting".

Journal of critical care May 15, 2026

Artificial Intelligence Medical Compendium