International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 5
September-October 2024
Indexing Partners
Role Of Explainable AI In Diagnostics System
Author(s) | SHREYA GAUTAM WAGHMARE |
---|---|
Country | India |
Abstract | Explainable Artificial Intelligence (XAI) is becoming increasingly critical in diagnostic systems, particularly in healthcare, where transparency and trust are paramount. XAI aims to make AI systems more interpretable by providing clear insights into how decisions are made, improving trustworthiness and regulatory compliance in medical diagnostics. This paper explores the role of XAI in diagnostic systems, outlining key methodologies, current applications, challenges, and potential future directions. Case studies are presented to demonstrate how explainable AI is integrated into diagnostic workflows, enhancing transparency and facilitating more informed decision-making by healthcare professionals. |
Keywords | Explainable AI (XAI), Healthcare Diagnostics, Medical Imaging, Trust in AI, Interpretability , Clinical Decision Support Systems (CDSS) , Deep Learning , Transparency |
Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
Published In | Volume 6, Issue 5, September-October 2024 |
Published On | 2024-10-01 |
Cite This | Role Of Explainable AI In Diagnostics System - SHREYA GAUTAM WAGHMARE - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.28060 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i05.28060 |
Short DOI | https://doi.org/g688vn |
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E-ISSN 2582-2160
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