首页|Study Findings from Indira Gandhi Delhi Technical University for Women Broaden U nderstanding of Artificial Intelligence (A Comparative Study and Systematic Anal ysis of Xai Models and Their Applications In Healthcare)
Study Findings from Indira Gandhi Delhi Technical University for Women Broaden U nderstanding of Artificial Intelligence (A Comparative Study and Systematic Anal ysis of Xai Models and Their Applications In Healthcare)
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2024 OCT 03 (NewsRx)-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 originating from New Delhi, India, by NewsRx correspondents, research stated, "Artificial intelligence techn ologies such as machine learning and deep learning employ techniques to anticipa te results more effectively without human involvement. Since AI models are viewe d as opaque models, their application in healthcare is still restricted." Our news editors obtained a quote from the research from Indira Gandhi Delhi Tec hnical University for Women, "Explainable artificial intelligence (XAI) has been designed to increase the use of artificial intelligence (AI) algorithms in the healthcare sector by increasing trust in the model's predictions and explaining how they are developed. The aim of this article is to critically review, compare , and summarize existing research and to find new research possibilities of XAI for applications in healthcare. This study is conducted by finding articles rela ted to XAI in biological and healthcare domains from the PubMed, Science Direct, and Web of Science databases using the PRISMA method. A comparative study of th e state-of-the-art XAI techniques to evaluate its applications in healthcare has also been done using an experimental demonstration on the Diabetes dataset. XAI techniques, namely LIME, SHAP, PDP, and decision tree, were used to explain how various input attributes contributed to the outcome of the model. This study fo und that the explanations provided by these models are not easily understandable for different users of the model, like doctors and patients, and need expertise . This study found that the potential of XAI in the medical domain is high as it increases trust in the AI model."
New DelhiIndiaAsiaArtificial Intel ligenceEmerging TechnologiesMachine LearningIndira Gandhi Delhi Technical University for Women
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