Explainable Ai For Health Care
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Dr. Tribhushan V. RambhatlaDoctor of Medicine (MBBS) · 1.5 years of expArtificial intelligence (AI) is playing an increasingly important role in healthcare. AI algorithms can now beRead more Your question will be posted publicly as anonymous user.Disclaimer: Opinions are from external health professionals and should not be considered as Microsoft's opinion or a substitute for professional help. Consult a health professional for medical advice.Was this helpful?See moreStart Health
(7 days ago) See moreStart HealthHealth guidesAsk an expertExploreExplainable AI (XAI) in healthcare is a technology that enables practitioners to understand “why” the system made certain decisions, and it explains the AI system’s inherent logic1. XAI can address trust issues in healthcare by providing accurate and reliable explanations for AI-generated decisions, fostering confidence among patients and medical professionals2. Healthcare professionals need an explainable AI, what the AMA calls "augmented intelligence," to provide an explanation and foundation for the conclusions it's making3.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.1The Importance of Explainable AI in …encora.com2Explainable AI in Healthcare: Everythin…matellio.com3Health Plans Have A Unique Role To Play M…forbes.comSo, explainable AI (XAI) in healthcare are technologies that enable practitioners to understand “why” the system made certain decisions. In other words, it explains the AI system’s inherent logic.The Importance of Explainable AI in Healt…www.encora.com/insights/the-importance-of-explai…Explainable AI in healthcare can do wonders for medical service providers as it offers a clear comprehension of complex AI systems and boosts transparency. Explainable AI can address trust issues in healthcare by providing accurate and reliable explanations for AI-generated decisions, fostering confidence among patients and medical professionals.Explainable AI in Healthcare: Everything Y…www.matellio.com/blog/explainable-ai-in-healthcare/Healthcare professionals need an explainable AI, what the AMA calls "augmented intelligence." Clinicians need the AI to provide an explanation and foundation for the conclusions it's making. They won't defer to AI-made decisions.Health Plans Have A Unique Role To Pla…www.forbes.com/sites/forbestechcouncil/2020/09/2…FeedbackPeople also askCan explainable AI be used in health-care?The aim of this paper is to provide guidance to researchers and practitioners on the design of explainable AI systems for the health-care domain and contribute to formalization of the field of explainable AI. This survey provides a holistic view of the literature; connecting different perspectives and providing concrete design recommendations.The role of explainability in creating trustworthy artificial sciencedirect.comWhat is a reliable AI model for healthcare applications?A reliable AI model for healthcare applications should ideally be both high performing and produce interpretable results. Artificial intelligence (AI) has branched out to various applications in healthcare, such as health services management, predictive medicine, clinical decision-making, and patient data and diagnostics.Application of explainable artificial intelligence for healthcare: A sciencedirect.comWill explainable AI make healthcare more transparent?The recent spike in certified Artificial Intelligence (AI) tools for healthcare has renewed the debate around adoption of this technology. One thread of such debate concerns Explainable AI and its promise to render AI devices more transparent and trustworthy.[2206.15363] Why we do need Explainable AI for Healthcare - arXiv.orgarxiv.orgWhat is medical AI explainability?In this paper, we take such a multidisciplinary view on a major medical AI challenge: explainability. In its essence, explainability can be understood as a characteristic of an AI-driven system allowing a person to reconstruct why a certain AI came up with the presented predictions.Explainability for artificial intelligence in healthcare: a multidisciplinary p…bmcmedinformdecismak.biomedcentral.comFeedbackNational Center for Biotechnology Informationhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706019Explainability for artificial intelligence in healthcare: a …WEBWe thus simply refer to explainability or explainable AI throughout the manuscript and add the necessary context for understanding. Taken together, the legal implications of introducing AI technologies into health care are significant and the …
https://microsoftstart.msn.com/en-us/health/expert-community/in-Tribhushan-V-Rambhatla/in-1791211
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Explainable AI in Healthcare IEEE Conference Publication
(4 days ago) WEBExplainable AI (XAI) is a domain in which techniques are developed to explain predictions made by AI systems. In this paper, XAI is discussed as a technique …
https://ieeexplore.ieee.org/document/9139655
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A Review on Explainable Artificial Intelligence for …
(6 days ago) WEBAbstract: Artificial intelligence (AI) models are increasingly finding applications in the field of medicine. Concerns have been raised about the explainability …
https://ieeexplore.ieee.org/document/10101766/
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Explainable artificial intelligence for mental health …
(Just Now) WEBThe literature on artificial intelligence (AI) or machine learning (ML) in mental health and psychiatry lacks consensus on what “explainability” means. In the more …
https://www.nature.com/articles/s41746-023-00751-9
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The role of explainability in creating trustworthy artificial
(7 days ago) WEBExplainable AI has the potential to overcome this issue and can be a step towards trustworthy AI. In this paper we review the recent literature to provide guidance …
https://www.sciencedirect.com/science/article/pii/S1532046420302835
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Explainable Artificial Intelligence in Health Care: How XAI …
(1 days ago) WEBHealth care workers utilize AI to speed up and enhance a variety of functions, including decision-making, forecasting, risk management, and even diagnosis, …
https://link.springer.com/chapter/10.1007/978-3-031-18292-1_6
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A Review on Explainable Artificial Intelligence for …
(2 days ago) WEBAbstract—Artificial intelligence (AI) models are increasingly finding applications in the field of medicine. Concerns have been raised about the explainability …
https://arxiv.org/pdf/2304.04780
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Explainability and artificial intelligence in medicine
(3 days ago) WEBIt has been argued that explainable AI will engender trust with the health-care workforce, provide transparency into the AI decision making process, and potentially mitigate …
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(22)00029-2/fulltext
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Solving the explainable AI conundrum by bridging clinicians
(Just Now) WEBExplainable artificial intelligence (XAI) has emerged as a promising solution for addressing the implementation challenges of AI/ML in healthcare. However, little is …
https://www.nature.com/articles/s41746-023-00837-4
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Application of explainable artificial intelligence in medical health: A
(7 days ago) WEBThis paper investigates the applications of explainable AI (XAI) in healthcare, which aims to provide transparency, fairness, accuracy, generality, and …
https://www.sciencedirect.com/science/article/pii/S2352914823001302
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Explainable AI in Healthcare and Medicine - Springer
(6 days ago) WEBHighlights the latest advances in explainable AI in health care and medicine by presenting significant findings on theory, methods, systems, and applications; Includes revised …
https://link.springer.com/book/10.1007/978-3-030-53352-6
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[2206.15363] Why we do need Explainable AI for Healthcare
(2 days ago) WEBThe recent spike in certified Artificial Intelligence (AI) tools for healthcare has renewed the debate around adoption of this technology. One thread of such debate …
https://arxiv.org/abs/2206.15363
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The false hope of current approaches to explainable artificial
(3 days ago) WEBThe black-box nature of current artificial intelligence (AI) has caused some to question whether AI must be explainable to be used in high-stakes scenarios such as medicine. …
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(21)00208-9/fulltext
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Beware explanations from AI in health care Science
(1 days ago) WEBThe prevailing argument for explainable AI/ML is that it facilitates user understanding, builds trust, and supports accountability (3, 4). Unfortunately, current …
https://www.science.org/doi/10.1126/science.abg1834
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Explainable AI In Health Care: Gaining Context Behind A Diagnosis
(9 days ago) WEBHowever, a new type of algorithm called “explainable AI” (XAI) can be easily understood by humans. As a result, all signs point to XAI being rapidly adopted across …
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Frontiers Toward explainable AI in radiology: Ensemble-CAM for
(8 days ago) WEBDespite their success, these deep learning approaches face challenges such as data dependency and interpretability, necessitating a balanced evaluation of their impact …
https://www.frontiersin.org/articles/10.3389/fdata.2024.1366415/full
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Explainable AI for Fair Sepsis Mortality Predictive Model
(2 days ago) WEBArtificial intelligence supports healthcare professionals with predictive modeling, greatly transforming clinical decision-making. This study addresses the crucial …
https://arxiv.org/abs/2404.13139
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Explainability for artificial intelligence in healthcare: a
(2 days ago) WEBExplainability is one of the most heavily debated topics when it comes to the application of artificial intelligence (AI) in healthcare. Even though AI-driven systems …
https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-020-01332-6
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Navigating the black box AI debate in healthcare
(7 days ago) WEBTo tackle these concerns, many stakeholders across the healthcare industry are calling for the development and adoption of ‘explainable’ AI algorithms. THE PUSH …
https://healthitanalytics.com/features/navigating-the-black-box-ai-debate-in-healthcare
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Constructing personalized characterizations of structural brain
(Just Now) WEBThe false hope of current approaches to explainable artificial intelligence in health care. Lancet Digit. Health 3, e745–e750 In Explainable AI: Interpreting, …
https://www.nature.com/articles/s41746-024-01123-7
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The Prominence of Generative AI in Healthcare - Key Use Cases
(7 days ago) WEBProvide training and education to healthcare professionals on the appropriate use of AI in patient care, emphasizing the importance of critical thinking and …
https://appinventiv.com/blog/generative-ai-in-healthcare/
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3 use cases for generative AI in healthcare documentation
(5 days ago) WEBGenerative AI systems learn patterns and relationships from massive amounts of data, allowing them to create new content that might be similar, but not identical, to …
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Q&A: Microsoft's AI for Good Lab on AI biases and regulation
(6 days ago) WEBThe head of Microsoft's AI for Good Lab, Juan Lavista Ferres, co-authored a book providing real-world examples of how artificial intelligence can responsibly be used …
https://www.mobihealthnews.com/news/qa-microsofts-ai-good-lab-ai-biases-and-regulation
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How AI Is Being Used to Treat Mental Illnesses - Business Insider
(6 days ago) WEBThe AI platform Lyssn is another tech-driven tool for mental-health services. It provides on-demand training modules for clients such as behavioral-health-care …
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Information Free Full-Text Predicting the Conversion from Mild
(9 days ago) WEBOne of the most famous explainable AI methodologies is SHAP values, which find their origin in game theory. Fundamentally, SHAP transforms the feature space of …
https://www.mdpi.com/2078-2489/15/5/249
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Explainability in Medical AI SpringerLink
(1 days ago) WEBBeing aware of the work being done in the non-clinical realm will help inform efforts with regards to explainable medical AI. Markus, A.F. The role of explainability in …
https://link.springer.com/chapter/10.1007/978-3-031-09108-7_8
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Building Trust In AI: The Case For Transparency - Forbes
(9 days ago) WEBLegislation such as the upcoming EU AI Act specifically rules that AI systems in critical use cases must be transparent and explainable. This means that businesses …
https://www.forbes.com/sites/bernardmarr/2024/05/03/building-trust-in-ai-the-case-for-transparency/
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Survey of Explainable AI Techniques in Healthcare - MDPI
(9 days ago) WEBWe require significant work to design tools and methods to effectively and appropriately apply AI technology in medical and healthcare care settings [103,104]. …
https://www.mdpi.com/1424-8220/23/2/634
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Explainable AI: Insights from Arthur’s Adam Wenchel
(5 days ago) WEBArthur.ai enhances the performance of AI systems across various metrics like accuracy, explainability and fairness. In this episode of the , recorded live at GTC 2024, …
https://blogs.nvidia.com/blog/arthur-podcast/
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How the DHS AI Roadmap Could Reach Its Intended Destination
(9 days ago) WEBThe U.S. Department of Homeland Security (DHS) just released its 2024 Artificial Intelligence (AI) Roadmap (PDF), but for AI applications to enhance operations …
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Explainable AI in medical imaging: An overview for clinical
(7 days ago) WEBMoreover, AI reshapes medical research and contributes to the development of personalized clinical care. Consequently, alongside its extended implementation …
https://www.sciencedirect.com/science/article/pii/S0720048X23001006
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AI Reasoning: A Revolution For Financial Transactions In Healthcare
(8 days ago) WEBAn AI capable of reasoning and planning could automate the complex task of coding and billing, reducing errors and improving the speed of reimbursement. Health …
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MHRA’s AI regulatory strategy ensures patient safety and industry
(Just Now) WEBPublished. 30 April 2024. The Medicines and Healthcare products Regulatory Agency (MHRA) has today (30 April 2024) set out its strategic approach to artificial …
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Generative A.I. Arrives in the Gene Editing World of CRISPR
(4 days ago) WEBStill, it is unlikely to affect health care in the short term. Fyodor Urnov, a gene editing pioneer and scientific director at the Innovative Genomics Institute at the …
https://www.nytimes.com/2024/04/22/technology/generative-ai-gene-editing-crispr.html
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