Final Frontier of AI in Clinical Diagnostics Getting Closer
The promise of artificial intelligence (AI) to improve clinical decision-making and diagnose cancers earlier is on the horizon, with some successes already seen, but there remain a host of unanswered questions that have social and ethical implications. During a dedicated session at the National Cancer Research Institute (NCRI) Cancer Conference 2019, the concept of AI and its application to diagnostics was explored from many angles, with real-world examples revealing the future for clinical care, and one study showing that the technology significantly improved cancer detection rates.
@amitesh The optimism was nevertheless leavened with warnings over machine learning systems being only ever as good as the data they are built on, and the unknowable nature of automated algorithm development, which could have unforeseen consequences if, as is already the case, relatively untested systems are used in clinical situations. nobody is actually suggesting that AI or deep leaning or whatever you want to call it, is actually going to take over from humans, but instead it will form a symbiosis with clinicians to help them in focusing on where they can make the greatest difference.