Artificial intelligence (AI) technology integration with clinical care applications, including patient data & risk analysis, inpatient care & hospital management, medical imaging & diagnostics, among others, is referred to as the "AI in Clinical Care Market." AI in clinical care aids in the analysis of the patient's complex data. It also aids in preserving physical, mental, and psychological welfare by including the management, treatment, and avoidance of illness or injury. With the aid of AI technology, a patient's medical treatment and diagnosis can be completed more quickly, accurately, and with less human participation.

Some of the key factors driving the growth of AI in Clinical Care Market are the increasing acceptance of senior care robots powered by AI and the increasing use of computer vision in complex therapies and operations.

Drivers: Growing use of computer vision in complicated procedures and treatments

One of the main AI technologies employed by the clinical care sector for data analysis and inference is computer vision. High-resolution camera pictures are interpreted by this technology. This technology is widely used in the clinical care sector, mostly for treatments and operations. Applications for robotic surgery use computer vision to recognise distances or certain body components. The use of computer vision systems aids in achieving high diagnostic accuracy for patients, thereby lowering the incidence of treatment-related false positives. Long-term adoption of this technology has the potential to reduce the need for costly therapies and unnecessary surgeries. Additionally, the growth of the AI in Clinical Care Market is anticipated to be driven by developments in machine learning and natural language processing.

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Robots that care for the elderly based on AI are becoming more widely used.

Numerous age-related disorders are predicted to become more prevalent globally as the elderly population grows. Statistics from the World Health Organization (WHO) show that by 2030, there will be 1.4 billion people in the world who are 60 years of age or older, up from 1 billion in 2020. The use of AI-based senior care robots and virtual assistants is anticipated to rise in response to this expanding demographic. Additionally, a number of healthcare businesses and governmental organisations are spending money on the adoption of cutting-edge technology like AI and robots to focus on the clinical care and senior care markets. For example, UBTECH ROBOTICS CORP LTD (US) declared in September 2022 that it is utilising AI technology for the creation of elderly care robots that will offer clinical and nursing care services to the senior citizens residing in community centres. Over the projected period, the market for AI in clinical care will rise as a result of such AI-based development activities.

Challenges: Medical professionals are reluctant to use AI-based technology across clinical care sectors.

Many healthcare practitioners now have reservations regarding the ability of AI technologies to accurately diagnose medical ailments. Given this, it is difficult to persuade providers that AI-based solutions are affordable, effective, and secure solutions that provide doctors with convenience and better patient care. A significant obstacle in the business is posed by medical professionals' unwillingness to use AI-based technology across clinical care sectors. Additionally, there is a false belief among medical professionals that AI may displace doctors in the near future. This is further impeding market expansion prospects for companies offering AI-based health care solutions.

Key players in the market

Intel Corporation (US), Siemens Healthcare GmbH (Germany), NVIDIA Corporation (US), Medtronic (Ireland), Amazon Web Services, Inc. (US), GE Healthcare (US), Metadvice Ltd. (UK), PathAI (US), Babylon Health (UK), AiCure (US), and Arterys (US).

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