Abstract
In the period of fast technical innovation, artificial intelligence (AI) has become a transformative force within the medical care market. This study explores the crucial measurements of AI application in health care, with a main concentrate on cultivating openness, interpretability, and cooperation to make certain lasting methods. It establishes the stage by highlighting the crucial function of AI in health care. It highlights the necessity of incorporating concepts of openness and interpretability right into AI systems' materials. This structure is essential for developing trust funds amongst stakeholders and advertising liable AI implementation within the healthcare environment. Furthermore, it illuminates the nuanced meanings of openness within the healthcare context, browsing regulative factors to consider and providing studies that brighten effective executions of clear AI in healthcare decision-making procedures. It better explores the details of interpretability and explainability, highlighting their value in boosting the human understanding of AI-driven healthcare choices. Methods and approaches for providing AI choices that are understandable to medical care experts are talked about thoroughly. Human-AI partnership becomes a critical motif in the story, diving right into the collaborating connection between healthcare specialists and AI systems. Techniques for reliable cooperation exist, showcasing exactly how human-in-the-loop techniques boost the total performance and dependability of AI applications in medical care. It checks out the intricacies related to releasing clear and interpretable AI, describes the instructional requirements of medical care experts involved with AI, and challenges dominating resistance and apprehension within the market. Preparing for the future, the conversation reaches possible study instructions, discovering arising patterns and innovations positioned to form the future landscape of medical care AI. The chapter wraps up with the ongoing study, advancement, and authentic factors to consider, leading the way for a future where AI perfectly incorporates medical care, guaranteeing both development and sustainability.
| Original language | English |
|---|---|
| Title of host publication | Transforming Healthcare Sector Through Artificial Intelligence and Environmental Sustainability |
| Editors | Rubee Singh, Wasswa Shafik, David Crowther, Vikas Kumar |
| Publisher | Springer Singapore |
| Pages | 165-191 |
| Number of pages | 27 |
| Edition | 1st |
| ISBN (Electronic) | 9789819795550 |
| ISBN (Print) | 9789819795543, 9789819795574 |
| DOIs | |
| Publication status | Published - 23 Jan 2025 |
Publication series
| Name | Approaches to Global Sustainability, Markets, and Governance |
|---|---|
| Publisher | Springer Singapore |
| ISSN (Print) | 2520-8772 |
| ISSN (Electronic) | 2520-8780 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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SDG 17 Partnerships for the Goals
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