Chudeau Nicolas

Nouvelle session en Rea des experts MIR au @CHLeMans. Merci à Muriel Fartoukh de @APHP @HopitalTenon pour son excellent topo: tout savoir sur l’hemoptysie et sa prise en charge multidisciplinaire. @CeMIR_off @La_SRLF Toujours plus de formation!

The #PixelWatch3, recently launched by @Google, introduces an #AI loss of pulse detection feature, providing automated #CardiacArrest detection for the first time. Early recognition of cardiac arrest and calling for help are the first and most critical actions, yet they are frequently delayed. Nearly half of cardiac arrests outside the hospital are unwitnessed—a deadly situation. While many smartwatches have fall detection features, no devices have been capable of detecting the absence of a pulse (a cardiac arrest) before. Google's new loss of pulse detection technology continuously monitors pulse and motion, triggering an alert and calling emergency services if no pulse, movements or response are detected. The sensitivity and specificity of this feature remain unknown. In the past, smartwatches with fall detection features have caused unnecessary calls, diverting emergency resources needed elsewhere, a critical aspect that deserve attention from developers and users. This is the first concrete step toward improving early recognition and response, addressing the issue of many unwitnessed cardiac arrests. This technology could significantly improve the response to cardiac arrest patients and increase survival rates, especially for unwitnessed events. However, it has yet to be assessed in actual cardiac arrest cases. We're stepping into a world where an unwitnessed cardiac arrest may be “witnessed” by a smartwatch, how will it be considered in the future? We have commented more in details how this technology works and its implications in @ResusJournal: resuscitationjournal.com/article/S0300-…