| | August 20188COMPUTER VISION TRANSFORMING HEALTH IMAGING: A LOOK AHEADBy Dr. Anjali Agrawal, Consultant Radiologist, Teleradiology Solutionsomputer vision is a rapidly developing discipline of Artificial Intelligence (AI), which strives to mimic the human visual system. This field of AI encompasses various automated processes that extract information from the images, analyse and then develop a spontaneous understanding of the data with an ability to classify objects or determine relatedness between images. In some areas such as fine interpretation of retinal images or subtle wrist fractures, this has superseded the best of human vision, which is subject to variable performance under adverse conditions & fatigue. Automated detection of findings & analyses would thus be a huge leveller in terms of variabilities in expertise, experience, accessibility and affordability of humans. While computer vision is far from perfect as of now, the scope is tremendous. Radiology & pathology are largely image-based diagnostic specialties. They are integral tools in the clinical decision-making process, guide current management and help predict the overall outcomes in terms of quality & longevity of life. At least in radiology, the data generated is largely digital or may be convertible into a digital format. These images are essentially a visually understandable representation of the data pertaining to human anatomic to molecular anatomy, functions and dysfunctions, captured by the huge armamentarium of imaging equipment. The imaging specialist needs to detect the warning signs of disease, differentiate them from the huge spectrum of normalcy in the human body, perform a multimodal correlation to provide a wholesome information on the disease characteristics, to reach a radiologic diagnosis or a set of diagnostic possibilities. This process involves a tedious task of scrolling through thousands of images requiring utmost attention, as the findings relevant to the patient's problem may be subtle and get camouflaged in the deluge of data. Overall increased imaging volumes are both physically & mentally challenging to the radi-ologist, leading to a spate of professional burnout within a short span of active practice. In this bar-rage of data, the human cognition is limited by what meets the eye on the images. However, as we all know, digital images have a lot more information & data embedded in them, beyond the human per-ception. The advanced AI software tools may add an entirely new dimension to image analysis based on quantitative parameters, not possible for the Teleradiology Solutions is a leading global Teleradiology and Telehealth company which specializes in Emergency Nighthawk, Subspecialty Services, 3D Imaging, Artificial Intelligence and many more.CIN MY OPINION
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