Pharmageek

– Artificial intelligence algorithms can predict outcomes of COVID-19 patients with mild symptoms in emergency rooms, according to recent research findings published in Radiology: Artificial Intelligence journal.



– Researchers trained the algorithm from data on 338 positive COVID-19 patients between the ages of 21 and 50 by using diverse patient data from emergency departments within Mount Sinai Health System hospitals (The Mount Sinai Hospital in Manhattan, Mount Sinai Queens, and Mount Sinai Brooklyn) between March 10 and March 26.



Mount Sinai researchers have developed an artificial intelligence algorithm to rapidly predict outcomes of COVID-19 patients in the emergency room based on test and imaging results. Published in the journal, Radiology: Artificial Intelligence, the research reveals that if the AI algorithms were implemented in the clinical setting, hospital doctors can identify patients at high risk of developing severe cases of COVID-19 based on the severity score. This can lead to closer observation and more aggressive and quicker treatment.

Lire l'article complet sur : hitconsultant.net

L’impression 3D est une technique versatile qui peut rendre service aux soignants dans les situations de crises sanitaires et d’isolement. Les chirurgiens reconstructeurs utilisent l’impression 3D de manière routinière pour la production de guides de coupe sur mesure et de modèles d’étude. Ils sont au premier plan lors des projets d’adaptation de ces méthodes aux cas d’urgence. Sur la base du retour d’expérience de l’initiative centralisée d’impression 3D de l’Assistance Publique – Hôpitaux de Paris/Université de Paris mise en place à l’abbaye de Port-Royal en avril 2020, nous présentons ici les points les plus importants de l’utilisation de la fabrication additive en situation de pandémie et, plus généralement, en cas de catastrophe sanitaire.

Lire l'article complet sur : www.realites-chirplastique.com

Plusieurs collectifs de citoyens s’organisent aujourd’hui pour démonter les discours anti-vaccins sur les réseaux sociaux, et tenter de rassurer les plus sceptiques

Lire l'article complet sur : www.20minutes.fr

An artificial intelligence (AI) test has been shown to be able to rapidly screen patients arriving in emergency departments for COVID-19, using clinical information routinely available within the first hour of coming to hospital.

According to the CURIAL study, published yesterday in The Lancet Digital Health, the AI test correctly predicted the COVID-19 status of 92.3% of patients coming to emergency departments at the John Radcliffe Hospital in Oxford and the Horton General Hospital in Banbury during a two-week test period.

Compared against results of laboratory swab testing, the CURIAL AI test correctly ruled-out COVID 97.6% of the time.

The test was developed by infectious disease and clinical machine learning experts at the University of Oxford using routine healthcare data (blood tests and vital signs) extracted from electronic health records for 115,394 patients and 72,310 admissions.

Lire l'article complet sur : www.healthcareitnews.com