Source: DALLE-3 via BING Images Copyright: N/A (AI generated) URL:… License: Public Domain (CC0) An artificial intelligence tool effectively detected distress in hospital workers’ conversations with their therapists early during the COVID-19 pandemic, a new study shows, suggesting a potential new technology that screens for depression and anxiety. As the COVID-19 pandemic forced many hospitals to operate beyond capacity, medical workers were faced with overwhelming numbers of work shifts, limited rest, and an increased risk of COVID-19 infection. At the same time, quarantine policies and fear of infecting family reduced their access to social support, with the combination increasing the risk of medical errorsRead More →

Source: Image created by JMIR Publications/Authors Copyright: JMIR Publications URL: License: Creative Commons Attribution (CC-BY) Reference intervals (RIs) are being used across many medical disciplines, allowing physicians to quickly pinpoint potentially pathological test results. RIs vary between populations and individuals, but, so far, personalized RIs are cumbersome to obtain. Researchers from the BioRef consortium of the University Hospital Bern (Inselspital), University Hospital Lausanne (Centre Hospitalier Universitaire Vaudois [CHUV]), the University Children’s Hospital Zürich (Kinderspital Zürich), and Swiss Paraplegic Research have established a multicentric IT framework in collaboration with Tune Insight and the Swiss Personalized Health Network (SPHN) to obtain patient group–specific RIs from routineRead More →