Remote photoplethysmography (rPPG) is gaining traction for non-contact heart rate estimation, yet most publicly available datasets are demographically biased. In this study, we analyze 100 rPPG studies, providing the first quantitative cross-model audit of…
Continue Reading
Dr. Heather Bassett, Chief Medical Officer at Xsoli
Our patients can’t afford to wait on officials in Washington, DC, to offer guidance around responsible applications of AI in the healthcare industry. The healthcare community needs to stand up…
Continue Reading
We investigate issues pertaining to algorithmic fairness and digital health equity within the context of using machine learning to predict Parkinson’s Disease (PD) with data recorded from structured assessments of finger and hand movements….
Continue Reading
Many hospitals are purchasing the latest AI algorithms to streamline operations and improve clinical care. But few of these models are being fully vetted for accuracy, bias, and transparency.
By Paul Cerrato, MA, senior research…
Continue Reading
Large language models (LLMs) used by English local authorities to support social workers may be introducing gender bias into care decisions, according to research from London School of Economics and Political Science (LSE).
The study,…
Real-world data (RWD) from electronic health records and digital health databases present unique opportunities to study causal effects in healthcare. While Difference-in-Differences (DiD) analysis is widely used for such analyses, it can be biased…
Continue Reading
Physical inactivity contributes to chronic diseases globally. Digital behavior change interventions (DBCIs) offer scalable solutions, but previous meta-analyses often combined them with other interventions. This systematic review and meta-analysis evaluated the standalone effects of…
Continue Reading
The market for digital health monitoring is expanding rapidly, with technologies that track health information and provide access to medical data promising benefits for users, particularly in areas with limited healthcare resources. To understand…
Continue Reading
Cognitive bias accounts for a significant portion of preventable errors in healthcare, contributing to significant patient morbidity and mortality each year. As large language models (LLMs) are introduced into healthcare and clinical decision-making, these…
Continue Reading
Exergames are emerging tools for cognitive-motor neurorehabilitation, but their effects in adults with neurological conditions remain insufficiently explored. This systematic review examined studies from PubMed, Scopus, Embase, and Web of Science, assessing the impact…
Continue Reading
