Artificial Intelligent (AI) is hitting new adoption levels each year because of proven automation in different industries especially the health industry. AI is an idea turning out to be more essentials intending issues and looking progressively like the fate of successful drug development.
Machine learning (ML) can rapidly assess multiple texts, graphs, and other data simultaneously. In artificial intelligence (AI) overall market growth projected to reach $16.6 billion over the next three years at a compound annual growth rate of 63 percent. Artificial intelligence is already a key player in the healthcare industry from wearable technology for patients to technology that assists doctors with surgery. In the context of patient’s entire medical history, and genetic sequencing augmented clinical service will positively impact intelligent surgery; quick diagnosis and treatment, helping physicians better understand people.
At Elsevier, their technologists apply AI machine learning algorithms to vast amounts of data, enabling adaptive technologies that “learn” from the user to provide a personalized experience. For example, they track students’ interactions with assessments and simulations to customize their experience based on their understanding and learning style in medical and nursing assisting education. An annual Global issues held in a forum in Washington, DC, where experts at the Association of Academic Health Center’s tackled the challenges and opportunities of technology in 21st-century healthcare where issue agreed that technology is revolutionizing patient care and will continue to do so at an accelerating rate.
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