By AI-based ultrasound point of care devices are integrated abundantly by the healthcare industry
There are thousands of applications extended by healthtech, but medical imaging or AI-powered diagnosis is witnessing an overwhelming demand in the healthtech market. Care devices dedicated to AI-based ultrasound applications are immensely acknowledged over the media in the past few days for the impressive amount of investment it has drawn. Although the healthtech saw its fate unfurling due to the pandemic, ultrasound machines at the point of care existed even before the pandemic took its birth. However, the adoption or integration of AI-based ultrasound that identifies and treats ailments arising from chronic diseases with automated algorithms is the news.
General Ultrasound Machines
The aggregation of chronic diseases increases every year making Ultrasound machines an inevitable part of the healthcare industry. The imaging capability of ultrasound machines helps detect disease at its early stages, reducing the treatment cost significantly. Ultrasound machines are harmless and have no disadvantages because they use very soft soundwaves. Moreover, the demand or inclination towards ultrasound machines is that they are more cost-efficient than any other medical imaging device or equipment.
Ubiquitous Ultrasound Machines
This democratic codification is another imperative cause in popularizing AI-powered ultrasound. The access to AI-powered diagnosis enables physicians to capture and analyze medical images. While capturing involves the practice of the diagnosis, analyzing involves assessing the outcome. Thus, the user capability and experience define the quality of the diagnosis or medical imaging. The portable AI-based ultrasound machines are not rigidly placed at the labs, they can be present even near the patient’s bed. Therefore, easing the trouble to escort the patient from one place to another.
Assistance During Covid-19
As researchers attempted to gauge the efficiency of these portable AI-based ultrasound machines, they found insights that led the market of these machines in 2020 to rise by USD 3.1 billion and further concluded that the compound growth will relentlessly continue. Taking into consideration the grim reality hospitals were confronted with during Covid-19. The ease-of-use demonstrated by the AI-based ultrasound, besides other factors that include scanning of patients without moving them, faster scans, reduced risk of spread, were immensely desired and appreciated.
Implementing AI Into Ultrasound
The deep learning technology is empowered with the skills to copy the hand movements and operations of a sonographer so that the access of ultrasound machines to everyone does not bring trouble. Following the technique shown by the AI-based ultrasound machines before the novice clinician performs curbs down a bulk risk of errors. Further, this simplification makes the involvement of only expert sonographers or radiologists redundant as everyone can perform the same task. Also, sometimes availability of the experts is doubtful because of their greater responsibilities and engagements. The AI-based ultrasound is beneficial for medical students as they acquire practical knowledge of point of care technology and its operations.
Protruding Examples
The AI-based ultrasound machine produced by Exo has been recognized and valued at a USD 220 million investment. Another Ai-powered diagnostic firm Butterfly IQ merged with Longview Acquisition in return for USD 1.5 billion, further expanding by collaborating with caption health. Kosmos, an AI-based ultrasound system developed by EchoNous has assumed USD 60 million to boost the growth. From visiting the labs to bedside ultrasound tests and adding other cumulative benefits, AI-powered diagnosis expanded the outlook of healthtech and disease detection.
