Signals shaping
health AI.
A focused stream of research, industry developments and ideas selected for people building the future of health.
Research and developments, with a clear point of view.

Letter to the editor: Re “the future of patient education: A study on AI-driven responses to urinary incontinence inquiries”.
AI's role in patient education on urinary incontinence is evolving. We reviewed a relevant...

Augmented reality- virtual reality wartime training of reserve prehospital teams: a pilot study.
Augmented Reality and Virtual Reality enhance trauma training for reserve paramedics, improving skills and...

Salivary detection of Chikungunya virus infection using a portable and sustainable biophotonic platform coupled with artificial intelligence algorithms.
Salivary detection of Chikungunya virus shows promise. A portable platform with AI algorithms offers...

Identification of Disulfidptosis-Related Genes in Ischemic Stroke by Combining Single-Cell Sequencing, Machine Learning Algorithms, and In Vitro Experiments.
Recent research highlights disulfidptosis-related genes in ischemic stroke. Key findings reveal their role in...

A microRNA diagnostic biomarker for amyotrophic lateral sclerosis.
A recent PubMed article highlights an eight-microRNA diagnostic signature for amyotrophic lateral sclerosis. 🧬🔬...

Radiomics and quantitative multi-parametric MRI for predicting uterine fibroid growth.
New research highlights a predictive model using MRI to assess uterine fibroid growth rates....

Clinician voices on ethics of LLM integration in healthcare: a thematic analysis of ethical concerns and implications.
Exploring ethical concerns of LLMs in healthcare 🏥🤖 reveals critical themes for responsible integration...

Classification of cervical vertebral maturation stages with machine learning models: leveraging datasets with high inter- and intra-observer agreement.
Machine learning models effectively classify cervical vertebral maturation stages, achieving up to 77.4% accuracy....

Machine Learning-Based Approach for Identifying Research Gaps: COVID-19 as a Case Study.
A machine learning approach identifies COVID-19 research gaps, highlighting six key topics for future...
