Robotics & Machine Learning Daily News2024,Issue(Apr.1) :41-42.

Researchers from McMaster University Report Findings in Artificial Intelligence [Incorporating Artificial Intelligence In Medical Diagnosis: a Case for an Invisible and (Un)Disruptive Approach]

Robotics & Machine Learning Daily News2024,Issue(Apr.1) :41-42.

Researchers from McMaster University Report Findings in Artificial Intelligence [Incorporating Artificial Intelligence In Medical Diagnosis: a Case for an Invisible and (Un)Disruptive Approach]

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Artificial Intelligen ce have been presented. According to news reporting out of Hamilton, Canada, by NewsRx editors, research stated, "As big data becomes more publicly accessible, artificial intelligence (AI) is increasingly available and applicable to problem s around clinical decision-making. Yet the adoption of AI technology in healthca re lags well behind other industries." Our news journalists obtained a quote from the research from McMaster University , "The gap between what technology could do, and what technology is actually bei ng used for is rapidly widening. While many solutions are proposed to address th is gap, clinician resistance to the adoption of AI remains high. To aid with cha nge, we propose facilitating clinician decisions through technology by seamlessl y weaving what we call ‘invisible AI' into existing clinician workflows, rather than sequencing new steps into clinical processes. We explore evidence from the change management and human factors literature to conceptualize a new approach t o AI implementation in health organizations." According to the news editors, the research concluded: "We discuss challenges an d provide recommendations for organizations to employ this strategy."

Key words

Hamilton/Canada/North and Central Amer ica/Artificial Intelligence/Emerging Technologies/Machine Learning/Technolog y/McMaster University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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