There is a new dictum for the 20th century: everything that can be automated is automated. The unstoppable power of Artificial Intelligence solutions resonates across all industries. However, in health care, it can be life-changing. Technicians have promised that AI and machine learning will transform the health care industry into a workforce that can reduce human error, improve recovery and improve new, effective.
The concept of AI services has been floating around since 1956, but it has seen significant improvement over the past decade. From the development of systems to clinical research and insurance, AI applications are disrupting the way the health sector works to improve patient outcomes and reduce patient bills. Overall public and private investment in AI in the healthcare industry is stunning. According to Allied Market Research, Artificial Intelligence in the Healthcare Market by 2023. It is projected to earn 22.79 billion, with a CAGR of 48.7% from 2017 to 2023.
The growth of the processing power of AI systems and its application for surgeries and screening, along with the shortage of skilled health professionals, are key drivers for the rise of AI in healthcare. Accenture is known as AI Healthcare's new nervous system. According to a recent study by the company, AI in healthcare refers to the acquisition of multiple technologies that comprehend, operate, learn, and understand machine learning so that they can perform and perform clinical tasks. With the huge potential of improving cost and quality, AI in the healthcare market will multiply by 10 factors over the next five years.
AI to work with humans
The shortage of health care professionals is a major problem in most developing countries. Waiting times for doctors to check on their patients can lead to health improvements. To improve diagnostics, Paragon Biosciences, a life science innovator, recently launched a new company called Clarity Imaging, which aims to increase AI technology to improve medical outcomes and reduce costs.
In Radiology, Qlarity is pushing its own FDA-approved computer-based breast cancer diagnostic system that delivers advanced diagnostics, machine learning, and intuitive screening. The company says it has been instrumental in defining cancer and non-cancerous breast lesions to help radiologists. Its AI solution showed a significant decrease of 39% in missed breast cancers and a total of 20% in diagnostics.
Jeff Aronin, Chairman and CEO of Paragon Biosciences, said, “By driving innovation across the life sciences, our company can improve outcomes for patients with multiple medical conditions. Therefore, we are pleased to be able to further develop AI-based diagnostic software for breast cancer MRIS. “Healthy times are entering an exciting time where supercomputing and AI have made it possible to discover new drugs and improve analytics,” he said. Qlarity Imaging will leverage Paragon’s capabilities and investments to further develop and implement its computer-based diagnostic system in addition to expanding AI diagnostic tools.
The launch of new AI centers
Cleveland Clinic, the American academic medical center, has announced the opening of a new center for AI that will collaborate and communicate with physicians, researchers and data scientists and gain traction across the health system. Its goal is to increase research on several clinical use cases where machine learning, deep learning, and AI work together. The project seeks new and innovative AI applications for disease assessment, analysis and treatment planning.
Even now, researchers at the center are working to develop new machine learning and AI-based tools for more accurate clinical decision support, length and risk estimates, and quality improvement. Also, there are other programs focused on oncology that explore how AI can enable personalized outcome assessment.
AI to simplify hospital workflow
AI can analyze information such as medical records and the patient's medical history. Data management is the most attractive feature of AI, and when combined with digital automation and robotics, healthcare centers can provide a faster and more consistent diagnosis. Also, AI can accurately analyze doctors' valuable time-consuming tests, CT scans, x-rays, and other mundane tasks. Cardiology and radiology are two disciplines that produce large amounts of data and its analysis is highly variable. With the help of AI, healthcare professionals will need to look at cases that are very complex and require human supervision.
Another exciting application of AI is digital nurse Molly. Startup, Sense. The program uses machine learning to help patients with chronic illnesses. Along with Molly a few years ago, Boston Children's Hospital launched the Amazon Alexa App, which provides basic health care information and advice to patients and children. Also, the app is programmed to answer whether or not a doctor's visit is needed for questions and symptoms related to actions.
Although people still have bitterness in their minds and fear that AI will soon take over doctors' jobs, experts believe it is too baseless and based on sci-fi films rather than reality. The reality is that AI offers a myriad of opportunities in the medical field and has the protection to take the current health care system beyond our reach.
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