Artificial intelligence has significance presence in medicine diagnostic. These technologies reduce load for the doctors from the diagnostic, most of whom are overburdened to the extent of complete fatigue. This will help bring down the amount of wrong diagnosis. If this procedure can diagnose medical problems with complete accuracy in just half of the patients, experts may end up saving a lot of time.

Medical device manufacturers need to keep up through the integration of AI in diagnostics. Wearable devices driven by the AI have a broad range of applications from the medical imaging and gene sequencing to studying drug communication and pre-surgical planning. The healthier patients will be able to monitor their vitals and have the necessary information delivered to doctors and specialists, this will remove the need to visit a clinic or hospital. This will help in cutting the operating medical expenses and reduce the load on overstretched healthcare facilities.

Technologies which are built using AI can help refine the development process of medical devices. The software can solve complex issues and help in enhance shaping and improve the product testing. Such procedures can assist in creating thousands of product designs based upon the parameters such as the size and weight, raw materials, and the proposed functionality. From this point, it can offer appropriate applicants for the purposes of testing. Automated surgery is also rapidly becoming a universal reality. It might be a little hard to convince the public at large to give away the surgical responsibilities to a robot, but when they have been made to realize how much more efficient it is, they are going to be more than convinced. AI has a large role to play in robotic surgery. They can help strengthen the awareness capabilities and ability of surgeons using machine-learning algorithms. Surgeons will have the ability to make use of these systems to make more advised decisions. AI-based surgical procedures will also decrease the surgical variations, reduce inefficiency, and improve the results for patients.

The imaging & diagnostics division is among the most active in the fields in the healthcare AI industry. 150 healthcare AI-focused startups that have raised their first round of funding since January 2019, one third compete in the imaging & diagnostics space. The market has seen AI and ML-enabled diagnostic technologies focusing on applications such as mental health, coronary disease, cancer and even patient wearables.

Companies like Biofourmis, Current Health, and Myia have likewise developed AI and sensor solutions that enable practitioners to examine a patient's health at a granular level, wherever that patient is in the world. Technologies like these will increasingly blur the line between “in-clinic” examinations and day-to-day health monitoring—making healthcare more affordable and accessible in the process.

AI can turn over the preceding constraints and beliefs about how the healthcare system works. It can redefine the relationship between cost, accessibility, and quality—one that today is badly broken.

Company Name	About the company	Head quarter	Funding
Babylon Health	Provide an accessible and affordable health service in the hands of every person on earth. They do this by combining the ever-growing computing power of machines, with the best medical expertise of humans to create a comprehensive, immediate, and personalized health service and making it universally available.	United Kingdom	$635.3M
Zymergen	Zymergen engineers’ better microbes that make useful molecules, which are part of all the materials in our daily lives. They are engineering biology predictably, reliably and to levels of performance unattainable through traditional R&D methods.	USA	$574.1M
Freenome	Freenome is a platform that helps design healthy conditions for an individual based on his/her cell-free genome. It employs Artificial Intelligence to detect colorectal cancer.	USA	$507.6M
Recursion Pharmaceuticals	At Recursion, they are Making Rare Diseases History. they combine innovative biological science with advanced computational algorithms to discover new therapeutic opportunities for rare genetic diseases.	USA	$465.4M
AtomWise	Atomwise is the creator of AtomNet, the first Deep Learning technology for novel small molecule discovery, characterized by its unprecedented speed, accuracy, and diversity.	USA	$174.3M

From Supply Side in AI in Medical devices providers we have companies such as NVIDIA (US), Intel (US), IBM (US), Microsoft (US), Xilinx (US), and Alphabet (US). From Demand Side in AI learning users we have companies such as Remedy Health, IDx, Apple, Aidoc, QuantX, Imagen (OsteoDetect), Zebra Medical Vision

FABRIC has investigated AI in Medical Devices and offers 7! cross segments. Avira's market intelligence platform FABRIC has synchronized 235 high importance market activities using Machine Learning and Data Science Algorithms. We would love to exchange our methodology, datasets, and observations on the quick demo of FABRIC.

About AviraInsights Technologies:

AviraInsights is a market intelligence company. We have synergised our strengths of Information Technology, Consulting and Market Research to build our proprietary platform that helps our clients in effective decision making. Driven by a vision to be a one-stop business partner to all the growth and expansion plans of its clients, AviraInsights has built an alliance base to make the Intelligence-data not just academic, but actionable. Understanding business in its entirety on the back of the decades of experience of the Management team, the company strives to empower its clients by providing an Access to research, Analysis of key dynamics, Evaluation of market data, Application of it to business objectives.