Lunit will participate in a Groundbreaking Prospective Study to Validate AI Performance
Will AI Identify Breast Cancer Better Than Radiologists in Actual Clinical Screening?
A research team at the Karolinska Institutet in Sweden will assess the performance of AI startup Lunit s breast cancer AI software as an independent mammography reader in screening
The prospective study marks first of its kind, aiming to screen 55,000 women with mammography at Capio Sankt Gorans Hospital in Stockholm, Sweden
SEOUL, South Korea, April 8, 2021 /PRNewswire/ Lunit, a leading medical AI startup, today announced that it will participate in the new study conducted by the research team of Karolinska Institutet in Sweden. According to Lunit, this research is the first prospective study in Europe to validate the performance of AI in an actual clinical trial of screening mammography.
Lunit will participate in a Groundbreaking Prospective Study to [ ] | Comunicati stampa CataniaOggi cataniaoggi.it - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from cataniaoggi.it Daily Mail and Mail on Sunday newspapers.
Lunit, a leading medical AI startup, today announced its partnership with
European Congress of Radiology (ECR) virtual event (March 3-7, 2021), the collaboration will make Lunit s AI software accessible to users of Philips diagnostic X-ray solutions.
Lunit INSIGHT CXR detects findings and provides abnormality score on a chest X-ray image
Lunit INSIGHT CXR chest detection suite accurately detects 10 of the most common findings in a chest X-ray. The announcement is the latest extension of Philips AI portfolio in precision diagnosis, which leverages this collaboration to achieve better patient outcomes, improve the experience of patients and staff, and lower the cost of care.
AI Proves Its Value in Assistance for Emergency Cases - With Higher Accuracy and Timely Reporting Time of Chest Radiographs
- A study shows that AI can individually mark abnormal findings for 10 lesions with significantly high accuracy
SEOUL, South Korea, Dec. 23, 2020 /PRNewswire/ A study conducted by Seoul National University Hospital, one of the most renowned medical institutes in Asia, has revealed that an AI can help radiologists improve their performance and reduce reporting time for critical or urgent cases. The study has recently been published in European Respiratory Journal, one of the leading peer-reviewed journals for respiratory diseases.
According to the study, Lunit INSIGHT CXR, an AI software for chest x-ray, showed significant value in a simulated reading experiment for emergency patients. When assisted by Lunit s AI, the diagnostic accuracy more than doubled from 29.2% to 70.8% for critical-emergency diseases such as pneumothorax and pneumoperitoneum.