The artificial intelligence platform has been manufactured by a start-up venture called Infervision. The aim is for the self-learning software to provide additional support for radiologist when viewing computed tomography (CT) scans formed from X-ray images. The software focuses on detecting suspicious lesions and nodules. The aim is to help streamline the workflow for radiologists. The platform is a type of PACS (picture archiving and communication system) method.
The software screens CT scans by examining a series of images. The technology can also help with the examination of standard X-rays. In trials the software, as reported by the developers, closely matched the independent diagnoses made by the chief physician in the diagnosis of cardiothoracic diseases at a leading Chinese hospital.
Infervision is a technology company that specializes in using big data and artificial intelligence platforms to assist and improve medical diagnoses. The Chinese based company founder was founded by Chen Kuan and the platform has recently been showcased at the NVIDIA GPU Technology Conference in San Jose during May 2017.
In a statement to Digital Journal, Chen Kuan said: “Our goal at Infervision is to build a stronger medical industry and help accelerate diagnoses which are so important for patients. In China we have a severe shortage of radiologists, particularly in lower-level hospitals all over the country.”
By shortage, the technology guru explains: “There are 80,000 radiologists who must diagnose 1.4 billion radiology scans a year. By using artificial intelligence and deep learning, the Infervision platform augments the work of these doctors.”
The innovation is part of a growing number of artificial intelligence devices manufactured for the healthcare sector. Such systems, according to the website Medical Futurist, could one day organize patient treatment plans and provide physicians with all the information need to make the best medical decision. Here the concept would involve artificial intelligence systems (virtual personal assistants) that accessing some of the web’s largest sites, mining data and providing medical recommendations.
