AI Medical Compendium

Spatial synergy in the digital era: a geo-analytics framework for detecting regional health patterns in urban smart city development.

BMC public health May 25, 2026

BACKGROUND: With enhanced digitization of large-scale health and socio-economic data, it has generated new opportunities and challenges in the processes and planning of smart cities in the cities and public health. It is increasingly becoming necessa... read more

Artificial intelligence for brain-to-speech decoding in paralysis: a systematic review.

BMC medical informatics and decision making May 25, 2026

The loss of communication constitutes a critical challenge for people living with paralysis. Brain-computer interfaces (BCIs) paired with artificial intelligence (AI) provide an opportunity to restore this ability. This systematic review examined the... read more

Predicting stride time variability from waist-mounted IMU data using machine learning: toward non-invasive gait stability monitoring in endurance running.

BMC sports science, medicine & rehabilitation May 25, 2026

BACKGROUND: Stride time variability (STV) is an important indicator of gait stability and motor control during running, yet its assessment typically depends on laboratory-based systems or distal sensor placement. This study evaluated whether a single... read more

Feasibility and challenges of large language model (LLM)-generated neonatal resuscitation simulations: a multicenter exploratory study.

Scandinavian journal of trauma, resuscitation and emergency medicine May 25, 2026

BACKGROUND: Simulation-based training (SBT) in neonatal resuscitation has positive impact on educational and neonatal outcomes. However, the implementation of well-designed SBT imposes multifaceted demands on instructors. Large language models (LLMs)... read more

Fine-tuning sequence-to-expression models on personal genome and transcriptome data.

Genome biology May 25, 2026

BACKGROUND: Genomic sequence-to-expression deep learning models, which are trained to predict gene expression and other molecular phenotypes across the reference genome, have recently been shown to have poor out-of-the-box performance in predicting g... read more

Constructing Spectroscopic-Accuracy Potential Energy Surfaces beyond CCSD(T) via Active and Transfer Learning: A Case Study of H2O-Ne.

The journal of physical chemistry letters May 25, 2026

High-resolution rovibrational spectroscopy and quantum dynamics are highly sensitive to the accuracy of the potential energy surfaces (PESs). Although machine learning (ML) models have shown great PES fitting capability, achieving spectroscopic accur... read more

Mitigating Misinformation in Health and Nutrition: Assessing Risk, Harm, and Scalable Solutions.

American journal of health promotion : AJHP May 25, 2026

Mechanism-Driven Self-Powered Biosensing: Integrating Entropy-Controlled Nanocatalysis with Machine Learning on a Generalizable Hydrogel Platform.

Analytical chemistry May 25, 2026

Conventional self-powered biosensors often face a trade-off between sensitivity and operational stability, largely hindered by the intrinsic instability of biocatalysts and linear signal-transduction mechanisms. Herein, we propose a mechanism-driven ... read more

Quantifying and Interpreting Solvation Power of Cyclic Carbonate by Chemical Calculation and Machine Learning.

The journal of physical chemistry letters May 25, 2026

Ion dynamics in carbonate electrolytes are fundamentally governed by the solvation power of cyclic solvents, a property whose quantification remains elusive because of the intricate competition between electronic and steric effects. We decouple these... read more

Mapping the Comatose Brain: Can Machine Intelligence Learn Paths to Recovery?

Critical care medicine May 25, 2026

Artificial Intelligence Medical Compendium