Edge devices are revolutionizing diagnostics. An edge device is a system that allows computing to happen closer to the location where it is needed, resulting in an instant response. Edge devices can be attached to imaging tools such as digital X-ray, CT, MRI, or ultrasound equipment. They can also be deployed as screening point-of-care (PoC) solutions. Some advantages of edge devices include instant results, no latency, and remote deployment for pre-screening. However, they suffer from a low computation capacity, and the number of algorithms that can be deployed on them is limited.
The healthy functioning of the human body is affected by a myriad of diseases. Some diseases are monitored and treated by fixing external medical implants. These implants include pacemakers, chest leads, sternal sutures, various forms of tubes like nasogastric tubes and endotracheal tubes, etc. Foreign objects are easy to identify in a chest X-ray and do not require any computer-aided methods for detection, but sometimes their presence weakens the performance of automatic diagnostic methods. For example, pulmonary disease detection models give a higher number of false positives if they learn from training data that consists of images with foreign objects…
Osteoarthritis (OA) is the most prevalent form of arthritis commonly affecting the knees, spine, hips, and hands. Knee osteoarthritis is most observed in people who are above the age of 45, suffer from obesity, or lead a sedentary lifestyle. In India, the prevalence of osteoarthritis lies between 22% and 39%*. These figures are expected to rise considering the trends of longevity and obesity. Since damage caused by the onset of osteoarthritis is irreversible, the current focus of doctors is on symptom control in the early stages of osteoarthritis.
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