Artificial Intelligence (AI) in Healthcare Market: How AI will change the Face of healthcare Industry?

Artificial intelligence in healthcare is the use of machine-learning algorithms and software to analyze, process and present complex medical and health care data. It has been widely used to support clinical decisions, improve workflows and predict health outcomes. Thus, wide application of AI in the healthcare sector is likely to propel the growth of the market. The growth of the artificial intelligence in healthcare market is attributed to the rising application of artificial intelligence in healthcare, growing investment in AI healthcare start-ups, and increasing cross-industry partnerships and collaborations. However, dearth of skilled AI workforce and imprecise regulatory guidelines for medical software is the major factor hindering the market growth.

The artificial intelligence in healthcare market is expected to witness substantial growth post-pandemic. The global healthcare infrastructure has observed that, in order to develop and maintain sustainable healthcare setup, utilization of computational technologies such as artificial intelligence becomes crucial. Moreover, majority of the market players have focused on development of AI-powered models to fight against coronavirus pandemic. In addition, several number of research centers and governments have actively participated in the building of robust AI technologies which are assisting the healthcare professionals to work efficiently even under shortage of resources. These factors will eventually drive the market growth.

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The Prominent leading companies operating in this research are Microsoft, Koninklijke Philips N.V., Intel Corporation, General Electric Company, Alphabet Inc., NVIDIA CORPORATION, Nuance Communications, Inc., Siemens Healthineers AG, Arterys Inc., and Johnson & Johnson Services, Inc.

Based on application, the artificial intelligence in healthcare market is segmented into robot assisted surgery, virtual assistants, administrative workflow assistants, connected machines, diagnosis, clinical trials, fraud detection, cybersecurity, dosage error reduction, and others. The clinical trials segment held the largest market share in 2019, and the robot assisted surgery segment is estimated to register the highest CAGR during the forecast period. Rising adoption of robotic surgeries due to better surgical outcomes offer lucrative opportunities for the growth of robotic assisted surgery segment.

Growing Applications of Artificial Intelligence in Healthcare to Drive Artificial Intelligence in Healthcare Market Growth

Artificial intelligence (AI) in healthcare sector is intended to considerably change clinicians' roles and everyday practices by accomplishing and analyzing data, make decisions, and conduct discussions.  AI application in healthcare is getting progressively sophisticated, efficient, quicker, and at a lower cost.

Owing to the tremendous potential of AI and robotics in healthcare sector, they are gradually becoming a major part of the healthcare ecosystem. According to a CB Insights Report in 2020, ~86% of the healthcare providers, life science companies, and technology vendors depend on artificial intelligence technologies.

The complexities related to interpreting images and conducting analysis result in the adoption of AI-based applications. With deep learning programs and expertise categorization, AI-based imaging systems are equipped with quick image reading algorithms, which further includes MRIs and CT scans. The system helps doctors and healthcare professionals to improve performance with better diagnostics and proves to be a vital tool in combating the shortage of radiologists in the hospital. As per the latest paper published in the Future Healthcare Journal in March 2020, AI will be integrated in the healthcare field for diagnosis and treatment approvals, patient engagement and adherence, and the healthcare workforce's administrative events. For instance, AI-Rad Companion Chest CT, developed by Siemens Healthineers, is an AI-powered healthcare solution that can read the chest CT images, accomplish automatic measurements, and formulate the medical report with valuable clinical images and quantifications.

AI is applied to aid cancer diagnosis and prognosis, given its unparalleled accuracy level, which is even sophisticated than that of the general statistical expert. For instance, scientists in National Cancer Institute (NCI's) intramural research program, support AI's abilities to recover cancer screening in cervical and prostate cancer. NCI investigators have designed a deep learning approach for the automatic detection of precancerous cervical lesions from digital images. With increased funds, NCI's efforts to comprehend AI's potential will lead to precise and rapid analyses, enhanced clinical decision-making, and improved health outcomes for cancer patients. Corporate giants like Google and IBM are already concentrating on making innovations in oncology, using cutting-edge AI algorithms for early detection and personalized cancer treatment. For instance, in August 2016, Google DeepMind launched a research partnership with the University College London Hospitals' radiotherapy department to use machine learning for minimizing the time taken for radiotherapy treatment applied for hard-to-treat head and neck cancer.

Several healthcare providers are starting to offload certain parts of the care-pathways to artificial intelligence (AI) based automation. For instance, in January 2018, Biotricity implemented device-level AI to improve its remote patient monitoring platform. Similarly, CarePredict uses AI for the uninterrupted detection of changes in activity and behavior patterns for initial recognition of health issues. Further, voice-based virtual assistants, such as Amazon Echo and Orbita Health, utilize AI to permit medication adherence and care coordination for aging. Several Companies such as Careangel further augment the voice-based virtual assistants as nurses and caregivers for target patient populations.

There is an unprecedented increase in the aging population worldwide, particularly in growing economies such as Europe, Japan, and China. According to the data of World Population Ageing 2017, the global population aged 60 years or above was ~962 million in 2017; further, the number of the elderly population is anticipated to reach almost 2.1 billion by 2050. Therefore, the aging population requires constant supervision and quick analysis on health-related issues, which, in turn promotes the adoption of AI-based systems in healthcare sector.

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