The Hospital Vall d’Hebron is testing a new system based on artificial intelligence that, if proven effective, could speed up the diagnosis of COVID-19 in patients with symptoms. The project, driven by the European Union, aims to detect pneumonia more quickly through chest CT scans. Currently, the radiologist examines the image and prepares a report based on what they see. If the system works, it will directly send the image to the artificial intelligence software, which will make an immediate diagnosis from the CT scan.

Il Policlinico universitario Campus Biomedico di Roma, inserito nella rete del Sistema sanitario regionale del Lazio, è il primo ospedale in Europa ad acquisire il sistema di intelligenza artificiale utilizzato negli Ospedali di Wuhan (Cina) per la diagnosi precoce e il monitoraggio di polmoniti da Covid-19.

Erstmals in Deutschland: Künstliche Intelligenz erkennt COVID-19 in der klinischen Routine. KI unterstützt Radiologie des Uniklinikums Jena in der CT-Befundung bei COVID-19-Verdacht.

A Torino arriva l’Intelligenza Artificiale per combattere la pandemia. Una tecnica rivoluzionaria a disposizione dei radiologi di Città della Salute e UniTo

This week, Sun Yipeng, Director of Software Development at InferVision, a Chinese company, visited Pärnu Hospital as part of a European Commission pilot project. At the meeting, they discussed cooperation opportunities and gave feedback on the software being tested at the hospital.

EuSoMII/Bracco AI Contest at the EuSoMII Annual Meeting

Artificial intelligence is playing a growing role in the detection of tuberculosis. Chinese medical imaging company Infervision is one of the companies working with the United Nations to bring an end to TB by 2035 using AI.

The pandemic has put a huge strain on hospitals and medical staff across Europe. It’s a race against time to get the virus under control, but thanks to EU-funded AI technology, lung damage caused by coronavirus can be quickly assessed, making diagnosis more precise and treatment more effective.