US-based provider of cloud-based radiology service Imaging Advantage (IA) has collaborated with the faculty members from the Massachusetts Institute of Technology (MIT) and Harvard Medical School / Massachusetts General Hospital (titled Singularity Healthcare) to develop an artificial intelligence x-ray engine.
Singularity is developing an artificial intelligence engine which will be integrated into IA’s patented exam routing technology to enable an instant pre-reading of digital x-rays and determine potential areas of injury and disease, while continuously learning from IA’s expanding database of 7 billion images.
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The algorithm will be applied before x-ray images are relayed to one of the 500 board-certified radiologists connected in the cloud to IA’s platform.
X-ray exams constitute 50% of all radiology tests in healthcare, radiology is the limiting factor in hospital emergency department patient flow and treatment.
The research initiative will include MIT’s Sloan School of Management Gordon Y Billard professor of management SP Kothari who will lead the project collaborating with Harvard Medical School professor of radiology and Massachusetts General Hospital (MGH) vice-chairman of radiology Dr Sanjay Saini advising on the imaging quality and utility to radiologists, and MIT Institute for Data, Systems and Society principal research scientist Kalyan Veeramachaneni.
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Imaging Advantage president and COO Brian Hall said: "We believe diagnostics is the gateway for the integration of artificial intelligence in healthcare.
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By GlobalData"Once we successfully develop this mechanism for X-Rays, we see the potential to expand the technology to CTs and MRIs, as well as other areas of time consuming diagnostic testing.
"The goal is to create a useful tool for radiologists, who are in shortage both domestically and internationally.
"Radiologists will continue to be indispensable."
Hall also stated that the solution developed by Singularity will provide a fast, accurate and less expensive diagnostic testing in the field of radiology.
