Today, large amounts of data in the form of images, clinical research trials and medical claims are stored by healthcare organizations and extracting insights from this data is the primary requirement to improve care delivery. The article offers some insights on the role of AI in structured and unstructured patient data to improve care. How AI Can Unlock the Full Potential of Clinical, Administrative Data, Health IT Analytics
While AI’s capabilities are continuing to expand, the use of AI in clinical and research settings is increasingly widespread, but any new technology is accompanied by concerns about privacy and security. This article talks about how AI must be implemented responsibly in healthcare while focusing on security and privacy. AI in Healthcare Presents Need for Security, Privacy Standards, Health IT Analytics.
Heart disease is a global problem that takes more lives annually than cancer, strokes, and other prevalent diseases combined. This article sheds some light on how advanced research and artificial intelligence can revolutionize the future of heart health and tackle the biggest health concerns in the world. Could A.I. revolutionize the future of heart health?,Interesting Engineering.
As global healthcare organizations around the world are looking for ways to improve patient access to treatment and testing, supply chain software is becoming increasingly important. This article offers some insights on how Healthcare can be treated like a supply chain issue with the help of artificial intelligence to help people get better access to testing and treatment. AI is helping treat healthcare as if it’s a supply chain problem, MIT technology review.
Artificial intelligence is developing at a rapid pace and is already starting to change the world. This article explains how leaders across healthcare, academia, and technology announced the formation of the Artificial Intelligence Industry Innovation Coalition (AI3C) and its objectives. Industry Leaders Announce Artificial Intelligence Coalition, Health IT Analytics.
In today’s world, artificial intelligence (AI) technology is finally enjoying commercial success in many industries by using machine learning (ML) to solve tough problems such as computer vision, robotics, and natural language translation. This article offers some insights on some of the factors that need to be considered when selecting an AI accelerator for your medical device.Transforming Modern Medical Devices with Machine Learning & AI Inference, MDDI online.
Machine Learning algorithms are on the rise as they are the building blocks of computing. This article sheds some light on how hidden biases in medical data that could compromise artificial intelligence approaches.The downside of machine learning in health care, MIT News.
The healthcare sector has been taking fair advantage of the interoperability trend for some time now. This blog discusses how AI and Interoperability, effectively paired, can play a very crucial role in saving lives without losing time. Interoperability and AI – A Symbiotic Relationship for Healthcare, Cabot Solutions .
Today, both Payers & Providers are interested in AI usage. Both technological companies and healthcare organizations are making investments in AI. This article explores some of the barriers preventing widespread adoption of AI in clinical settings. AI in health care: Four challenges preventing wider clinical adoption, Health Evolution .
We’ll see you next month with more.