Preparing clinicians for a clinical world influenced by AI

“It is imperative that clinicians have the knowledge and skills to assess and determine the appropriate application of AI outputs, for their own clinical practice and for their patients.” Cornelius A James, clinician Three clinicians put together this timely piece in JAMA Viewpoint, outlining the steps that would allow clinicians to be (better) engaged with…

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Kore.ai launches HealthAssist

Kore.ai, a market-leading enterprise conversational AI software platform and solutions company, has announced the launch of HealthAssist, its first in a series of new, digital-first healthcare experiences. The solution has been developed by combining deep healthcare expertise and its robust AI-powered  experience optimization platform technology for healthcare providers, health insurance payers, and life science companies.…

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Interoperability has missed the mark for too many years

Ron Schilling on the levers required to steer the market in the right direction in AI. You have been working at the cutting edge of healthcare technology since the 1970s. What are the top 3 achievements you are most proud of? I arrived in healthcare during the birth of CT scanning. General Electric was aware…

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AI and knowledge representation learning

“We at Google have made tremendous advances in understanding language. Our knowledge graph has been fundamental to that. The destiny of [Google’s search engine] is to become that Star Trek computer, and that’s what we are building.” Amit Singhal, former head of Google Search The topic of knowledge graphs as a representation of artificial intelligence surfaced…

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RUSH to implement AI for colonoscopy

Rush University System for Health (RUSH) is the first hospital system in the United States to offer a new artificial intelligence-assisted colonoscopy device for its patients in every screening procedure room. The Medtronic GI Genius™ intelligent endoscopy systems were installed for immediate use at RUSH in February. The AI technology helps detect colorectal polyps of…

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AI-assisted triage tool delivers rapid stroke diagnosis

A new stroke triage tool, AUTOStroke, powered by artificial intelligence has been made available in the UK. The imaging innovation analyses and categorises diagnostic brain images automatically following a CT scan to detect signs of ischemic and hemorrhagic stroke in 30 seconds, compared to a 30 minute scan to manual-reporting timeframe, which is even more…

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UF Health and NVIDIA build world’s largest clinical language generator

The University of Florida’s academic health center, UF Health, has teamed up with NVIDIA to develop a neural network that generates synthetic clinical data – a powerful resource that researchers can use to train other AI models in healthcare. Trained on a decade of data representing more than 2 million patients, SynGatorTron is a language…

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Medical AI is still considered innovative at this time

Daniel O’Hair reflects on the clinical and medical impact of AI solutions implemented at Boulder Community Health. What initially sparked your interest in medicine?  Two people were very influential in sparking my interest. First, my mother was an X-ray technologist and would take me to her office some Saturdays where I was fascinated by the…

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AIMed abstract competition reopens

AIMed’s popular poster competition has reopened for submissions. Returning for 2022, the competition gives students and early career clinicians and data scientists the opportunity to present posters to an esteemed panel of judges. Chaired by Dr Robert Hoyt, Associate Clinical Professor in the Department of Internal Medicine at Virginia Commonwealth University, this will take place…

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Bayes’ Theorem and its statistical inference

“By updating our initial beliefs with objective new information, we get a new and improved belief.” Sharon Bertsch McGrayne in The Theory That Would Not Die Thomas Bayes, the eponymous Presbyterian minister of the renowned theorem, first introduced his mathematical expression close to 300 year ago. This Bayesian approach is the mathematical formulation of the…

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This is the right time to invest in AI innovative technologies

Amrita Kumar looks forward to the BIR and RCR AI conference taking place in London on March 17-18, and why all radiologists need to be familiar with AI in healthcare. Congratulations on your new role as chair of the AI and Innovation Special Interest Group at the British Institute of Radiology! What are your main…

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