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MedTech Outlook | Tuesday, June 09, 2020
Deploying AI in the medical industry helps surgeons to know which techniques align with better outcomes, and these insights will connect to patients' post-operative and long-term health outcomes.
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FREMONT, CA: Traditionally, the healthcare industry has been highly regulated and is very slow in adopting new technologies. Over the years, a wide range of unique, high products high-tech products has made their way into the sector. In the future, artificial intelligence, machine learning, and augmented reality will play essential roles in conjunction with clinical health IT applications.
Technology has played an essential role in the medical industry transformation. But will the convergence of digital technologies have the same impact on surgical care?
Based on a current analysis of surgical applications, three key technologies will majorly impact the future of surgery: Robotics, Augmented and Virtual Reality, and AI and Machine Learning.
[vendor_logo_first]In surgery, AI refers to the collection of varied technologies, enabling the machines to understand, act, and learn, so that they can perform certain functions. Unlike the medical devices that function and support a clinician or surgeon, AI, at present, can augment a surgeon's decision' making.
According to research from John Hopkins University, around 4,044 cases of surgical errors occur annually in the U.S. In 20 years, there were more than 9744 paid malpractice claims, which cost over $1.3 billion.
AI's potential in healthcare reflects in several possible surgical use cases. Not least of all will be addressing surgical variability and reducing errors, where the privileges are manifold. Tech skills vary from surgeon to surgeon, especially when learning new or more critical steps, and can have a massive impact on patient outcomes and cost.
It is estimated that by 2020, medical data will double every 73 days. A McKinsey study mentioned that leaning on big data, AI, and machine learning tools to process it, can lead to a potential $100 billion in annual savings for medicine and pharma.
AI can be a useful tool to identify surgical variability and error, helping surgeons to improve. AI and machine learning techniques and tools will be used simultaneously to uncover the critical insights from the millions of information points collected by laparoscopic and endoscopic videos and solve a lot of problems facing the surgery department comprising the variability of the outcome.
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