首页|School of Computer Science Reports Findings in Artificial Intelligence (Unveilin g the black box: A systematic review of Explainable Artificial Intelligence in m edical image analysis)
School of Computer Science Reports Findings in Artificial Intelligence (Unveilin g the black box: A systematic review of Explainable Artificial Intelligence in m edical image analysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Galwa y, Ireland, by NewsRx correspondents, research stated, “This systematic literatu re review examines state-of-the-art Explainable Artificial Intelligence (XAI) me thods applied to medical image analysis, discussing current challenges and futur e research directions, and exploring evaluation metrics used to assess XAI appro aches. With the growing efficiency of Machine Learning (ML) and Deep Learning (D L) in medical applications, there’s a critical need for adoption in healthcare.” Our news editors obtained a quote from the research from the School of Computer Science, “However, their ‘black-box’ nature, where decisions are made without cl ear explanations, hinders acceptance in clinical settings where decisions have s ignificant medicolegal consequences. Our review highlights the advanced XAI meth ods, identifying how they address the need for transparency and trust in ML/DL d ecisions. We also outline the challenges faced by these methods and propose futu re research directions to improve XAI in healthcare. This paper aims to bridge t he gap between cutting-edge computational techniques and their practical applica tion in healthcare, nurturing a more transparent, trustworthy, and effective use of AI in medical settings.”
GalwayIrelandEuropeArtificial Inte lligenceEmerging TechnologiesMachine Learning
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