Transforming Healthcare: The Role of Generative AI in Personalized Treatment Recommendations
Abstract
This study mainly explores the next phase of generative artificial intelligence and its benefits in healthcare. This work explores the changes artificial intelligence can bring to this sector, including artificial neural networks and adaptive autoencoders to develop self-healing models by collecting patient information, data, and existing research studies. These artificial intelligence systems can create curated plans for treatment that will benefit the patient. This will help improve treatment outcomes while reducing their side effects and overall outcomes for everyone with the disease. This chapter also explores the commitment of artificial intelligence in healthcare, discusses the issues and ethics, and suggests fields for future research, studies, and applications.
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Generative AI can recommend personalized interventions based on real-time data.
“Generative AI can also recommend personalized interventions based on real-time data (56).”
From Generative artificial intelligence in predictive analysis of diabetes and its complications: a narrative review (2025) · cites this paper as [56]
Cites
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Dissecting racial bias in an algorithm used to manage the health of populations
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Osonuga, A., Olawade, D. B., Gore, M., Rotifa, O. B., Egbon, E., Chinwah, V., & Boussios, S. (2025) · Annals of Translational Medicine · doi:10.21037/atm-25-62 · Cited by 4 · see citing works
- Authors
- Gupta, V., Singh, A., Singh, H., & Chaudhary, E.
- Affiliations
- Symbiosis International University (IN)
- University of Toledo (US)
- Venue
- Advances in Healthcare Information Systems and Administration
- Publisher
- IGI Global
- Published
- 2024-06-30
- Pages
- 173-189
- ISSN
- 2328-1243 (ISSN-L)
- 2328-126X
- OpenAlex
- W4401334025
- Cited by
- 5
- References
- 8
- Citations by year
- 2025: 3 · 2018: 1 · 2013: 1
- FWCI
- 1.27
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Advances in healthcare information systems and administration book series (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- generative AI, health care, artificial neural networks, treatment planning, treatment outcomes, side effect reduction, ethics of AI in healthcare, patient information
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