We’re so excited to speak with (one and only) Berci Meskó, MD, PhD on our podcast, with our host Yosra Magdi Mekki, in just two days at 8 am eastern time, here, on X Spaces! Save the date below: x.com/i/spaces/1vAxR…

I cannot wait! See you tomorrow!

It’s a huge honor to be invited to the npj Digital Medicine podcast. As one of the leading journals in the field of digital health and healthcare AI, it’s quite a thrill. I’ve previously published 3 studies and papers there so I was very happy to get the invitation to talk about the

We are excited to speak with you tomorrow!

What are the most prevalent #digitalbiomarkers for #ParkinsonsDisease? This review explores measures including reaction time, sleep, speech, bradykinesia, gait, ocular and upper limb dysfunction with a focus on home-based or portable devices. nature.com/articles/s4174…

The RADAR-AD consortium details the process of identifying key concepts, selecting remote measurement technologies (RMTs), & conducting feasibility assessments in a clinical study. They also discuss feedback from EU Medicines Agency & share lessons learned, providing guidance for future

New article! Read Development, deployment and scaling of operating room-ready artificial intelligence for real-time surgical decision support dlvr.it/TCpMHd in npj Digital Med

New article! Read Regulatory considerations for developing remote measurement technologies for Alzheimer’s disease research dlvr.it/TCpMKk in npj Digital Med

Join us in our Space! Berci Meskó, MD, PhD x.com/i/spaces/1YqJD…

Scaling AI for surgical guidance to operating rooms globally remains a major challenge, especially resource-limited settings. These authors describe a novel equipment-agnostic #MachineLearning pipeline to enable real-time deployment to any edge device. nature.com/articles/s4174…

New article! Read Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension dlvr.it/TCrtdD in npj Digital Med

New article! Read Artificial intelligence estimated electrocardiographic age as a recurrence predictor after atrial fibrillation catheter ablation dlvr.it/TCsJd0 in npj Digital Med

New article! Read Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson’s disease dlvr.it/TCv1HM in npj Digital Med

Researchers have developed a non-invasive #ArtificialIntelligence tool to predict elevated intracranial pressure (ICP) using routine extracranial data, reducing the need for invasive monitoring. This tool, validated with independent data, showed good accuracy and was associated

New article! Read Establishing the longitudinal hemodynamic mapping framework for wearable-driven coronary digital twins dlvr.it/TCvM4D in npj Digital Med

New article! Read Navigating the EU AI Act: implications for regulated digital medical products dlvr.it/TCvlPp in npj Digital Med

The authors of this study used AI to predict age from ECG data & found that a large gap between the AI-predicted age and actual age can help predict the likelihood of #atrialfibrillation (AF) returning after catheter ablation. This AI-based age prediction was shown to be a