Several Danish hospitals and the American start-up company Enlitic have recently teamed up in a private-public partnership to evaluate an AI-based algorithm in reading chest x-rays. The medical software has been trained on American, Canadian, Japanese and Australian chest radiographs and it is the first time it will be tested and partly implemented in a Nordic country.
Over the last two decades, medical imaging technology has become more precise and accessible. Radiology is increasingly becoming a key function of modern medicine, helping to guide diagnostics, treatment, and prognosis. However, the growing use of medical imaging also has its challenges. Since the volume of imaging has increased rapidly and the number of radiologists has plateaued, a status quo has emerged characterized by growing workloads for overburdened physicians and subsequent bottlenecks.
Enlitic is a pioneer in medical deep learning that leverages its proprietary algorithms that quickly and accurately improve healthcare diagnosis by pairing radiologists with data scientists and engineers, thereby collecting and analyzing some of the most comprehensive clinical data globally.
The Copenhagen-based hospitals (Herlev/Gentofte, Bispebjerg/Frederiksberg hospitals) and Enlitic have teamed up in a private-public partnership to evaluate an AI-based algorithm in reading chest x-rays. The medical software has been trained on North-American, Japanese and Australian chest radiographs and it is the first time it will be tested in a Nordic country. After the validation process, the algorithm will be implemented in the Nordic setting, for a limited period, to showcase how medical AI will affect the workflow of the Nordic healthcare providers in terms of speed, efficacy and medical decision making.