Potential and Current Status of AI Use for Accessible, Affordable, and Adaptable Healthcare
Bibliographic Data
| ID | 24239489 |
|---|---|
| Authors | Harko Verhagen (0000-0002-7937-2944), Shashikala Gurpur (0000-0002-9900-4014), Ketan Kotecha (0000-0003-2653-3780), Rupal Rautdesai (0000-0002-9723-2443), Amol Sapatnekar, Jitender Sodhi, Sashikala Mishra (0000-0002-5433-4917) |
| Year | 2026 |
| Pages | 19-51 |
| Publication date | 2026-01-01 |
| Open Access | No |
| Type | CHAPTER |
| Venue | Law, Governance and Technology Series (SOURCE_BOOK) |
| Publisher | Springer Nature Switzerland (PUBLISHER) |
| DOI | 10.1007/978-3-032-37338-0_2 |
| OpenAlex | W7222804803 |
| ISBN | 9783032373380 |
| Language | EN |
| References cited | 57 |
affordable healthcare · AI regulation · health care access · Health equity · Artificial Intelligence in Healthcare · Artificial Intelligence in Healthcare and Education · Ethics and Social Impacts of AI · Technology and Human Factors in Education and Health
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A guide to deep learning in healthcare
High-performance medicine
AI in health and medicine
Deep learning
High-quality health systems in the Sustainable Development Goals era
Black-box assisted medical decisions
Research ethics for AI in healthcare
Artificial intelligence for tuberculosis control
| Highly cited | No |
|---|