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Title: :  Enhancing Healthcare with AI: User - Centered Design and Explainable AI Techniques
PaperId: :  24765
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 4 2024
DUI:    16.0415/IJARIIE-24765
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Dr.RachanaAlvas Institute of Engineering and Technology
Shraddha ShettyAlvas Institute of Engineering and Technology
Shodhan RaoAlvas Institute of Engineering and Technology
Samareen C WAlvas Institute of Engineering and Technology
Rithika G ShettyAlvas Institute of Engineering and Technology

Abstract

Engineering
Artificial Intelligence (AI), Healthcare, User-Centered Design (UCD), Explainable AI(XAI), Machine learning, Medical, Diagnosis, Treatment Planning, Patient Monitoring, Predictive Analytics, Personalized Care, Clinical Decision Making, Transparency, Trustworthiness, Usability, Stroke Care, Colorectal Polyp Detection, Medical Data.
AI in health care has already given so much promise in areas such as predictive analytics, personalized care, diagnostics, and imaging by providing previously unseen capabilities for the diagnosis of diseases, treatment plans, and monitoring of patients. This paper provides an overview of the critical roles of user-centered design and explainable AI in improving the adoption, trust, and usability of AI systems in medical practice. UCD represents the close collaboration with end-users—including patients and healthcare professionals—to make AI tools practical, user-friendly, and seamlessly integrated into clinical workflows. XAI is oriented toward the transparency of AI decision-making through plain explanation manifestations for accountability and building trust. This review has taken into consideration applications of UCD and XAI in brain stroke care and in the management of colorectal polyps to demonstrate how these approaches can improve usability, efficacy, and patient engagement. The challenges in handling complex medical data, balancing ethical concerns, and technical constraints are discussed. The findings underline the necessity of having UCD and XAI to come up with reliable and widely accepted AI healthcare systems. The literature available on the subject has been systematically evaluated for the identification of the key approaches, challenges, and best practices about future research and improvement in this important area. This means the ultimate enhancement of patient outcomes and organizational efficiencies in a totally transformed healthcare delivery through AI innovations. Building on systematic evaluation, key approaches, challenges, and best practices are identified that may then offer insights for future research and advancement toward the transformation of healthcare delivery.

Citations

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IJARIIE Dr.Rachana, Shraddha Shetty, Shodhan Rao, Samareen C W, and Rithika G Shetty. "Enhancing Healthcare with AI: User - Centered Design and Explainable AI Techniques" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 4 2024 Page 2214-2219
MLA Dr.Rachana, Shraddha Shetty, Shodhan Rao, Samareen C W, and Rithika G Shetty. "Enhancing Healthcare with AI: User - Centered Design and Explainable AI Techniques." International Journal Of Advance Research And Innovative Ideas In Education 10.4(2024) : 2214-2219.
APA Dr.Rachana, Shraddha Shetty, Shodhan Rao, Samareen C W, & Rithika G Shetty. (2024). Enhancing Healthcare with AI: User - Centered Design and Explainable AI Techniques. International Journal Of Advance Research And Innovative Ideas In Education, 10(4), 2214-2219.
Chicago Dr.Rachana, Shraddha Shetty, Shodhan Rao, Samareen C W, and Rithika G Shetty. "Enhancing Healthcare with AI: User - Centered Design and Explainable AI Techniques." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 4 (2024) : 2214-2219.
Oxford Dr.Rachana, Shraddha Shetty, Shodhan Rao, Samareen C W, and Rithika G Shetty. 'Enhancing Healthcare with AI: User - Centered Design and Explainable AI Techniques', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 4, 2024, p. 2214-2219. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Enhancing_Healthcare_with_AI__User___Centered_Design_and_Explainable_AI_Techniques_ijariie24765.pdf (Accessed : ).
Harvard Dr.Rachana, Shraddha Shetty, Shodhan Rao, Samareen C W, and Rithika G Shetty. (2024) 'Enhancing Healthcare with AI: User - Centered Design and Explainable AI Techniques', International Journal Of Advance Research And Innovative Ideas In Education, 10(4), pp. 2214-2219IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Enhancing_Healthcare_with_AI__User___Centered_Design_and_Explainable_AI_Techniques_ijariie24765.pdf (Accessed : )
IEEE Dr.Rachana, Shraddha Shetty, Shodhan Rao, Samareen C W, and Rithika G Shetty, "Enhancing Healthcare with AI: User - Centered Design and Explainable AI Techniques," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 4, pp. 2214-2219, Jul-Aug 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Enhancing_Healthcare_with_AI__User___Centered_Design_and_Explainable_AI_Techniques_ijariie24765.pdf [Accessed : ].
Turabian Dr.Rachana, Shraddha Shetty, Shodhan Rao, Samareen C W, and Rithika G Shetty. "Enhancing Healthcare with AI: User - Centered Design and Explainable AI Techniques." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 4 ().
Vancouver Dr.Rachana, Shraddha Shetty, Shodhan Rao, Samareen C W, and Rithika G Shetty. Enhancing Healthcare with AI: User - Centered Design and Explainable AI Techniques. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(4) : 2214-2219. Available from: https://ijariie.com/AdminUploadPdf/Enhancing_Healthcare_with_AI__User___Centered_Design_and_Explainable_AI_Techniques_ijariie24765.pdf
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