The adoption of a lung nodule detection system into the clinical workflow of a community practice significantly reduced reading times, according to a study presented Tuesday. The AI tool also improved radiologists’ confidence regarding reporting lung nodules. “The assumption that AI-assisted radiology is inherently superior to traditional methods is not always accurate,” said Baskaran Sundaram, MD, professor of radiology at Thomas Jefferson University in Philadelphia. “It is essential to assess whether AI tools enhance accuracy, productivity or efficiency,” Dr. Sundaram said. “Moreover, it's crucial to consider if these tools exacerbate or mitigate burnout.” As early adopters of AI tools, Dr. Sundaram and colleagues are actively exploring strategies to justify the purchase, retention and replacement of these technologies. “This case study is a prime example of this ongoing effort,” he said.

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.