Enhancing Healthcare with AI: User - Centered Design and Explainable AI Techniques
Abstract & Details
Research Area
Engineering
Keywords
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.
Abstract
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.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Dr.Rachana | Alvas Institute of Engineering and Technology |
| 2 | Shraddha Shetty | Alvas Institute of Engineering and Technology |
| 3 | Shodhan Rao | Alvas Institute of Engineering and Technology |
| 4 | Samareen C W | Alvas Institute of Engineering and Technology |
| 5 | Rithika G Shetty | Alvas Institute of Engineering and Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Dr.Rachana, Shetty, Shraddha, Rao, Shodhan, W, Samareen C, & Shetty, Rithika G (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.
MLA Style
Dr.Rachana, et al. "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, pp. 2214-2219.
IEEE Style
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, 2024.
Vancouver Style
Dr.Rachana, Shetty Shraddha, Rao Shodhan, W Samareen C, Shetty Rithika G. Enhancing Healthcare with AI: User - Centered Design and Explainable AI Techniques. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(4):2214-2219.
Harvard Style
Dr.Rachana, Shetty, Shraddha, Rao, Shodhan, W, Samareen C, & Shetty, Rithika G (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. 2214-2219.
Chicago Style
Dr.Rachana, et al. "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.
Turabian Style
Dr.Rachana, et al. "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.
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