The DOI matches its Crossref record; its reference list is not available.
Health Care Redefined: Agentic AI in Personalized Medicine and Treatment
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“the adoption of agentic AI assistants can help automate and simplify clinical documentation workflows, reducing the administrative burden on clinicians and facilitating the collection of structured data”
From Multimodal neuroimaging and AI integration in cognitive disorders: advances, challenges, and future directions for precision medicine (2026) · cites this paper as Shafik, 2025
Citations
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No citation lists for this paper yet — checked again daily.
References 40 · Cited by 4
Research works printed but not linked: 4
- Liu, H., & Abbeel, P. (2023). Emergent agentic transformer from chain of hindsight experience. Proceedings of Machine Learning Research,202, 548.
- Ohei, K., Mantzaris, E., & Ntshangase, B. A. (2023). Re-examining the gender factored agentic and communal career profession of Information and Communication Technology (ICT) students. International Journal of Research in Business and Social Science,12(6), 2147–4478.
- Shafk, W. (2023). Wearable medical electronics in artifcial intelligence of medical things. In Handbook of security and privacy of AI-enabled healthcare systems and internet of medical things. https://doi.org/10.1201/9781003370321-2 · doi:10.1201/9781003370321-2
- Slaughter, K. T., & Chen, D. (2021). Is knowledge power or ignorance bliss? Delegate and educate in robo-advising: A proposed study of the human-agentic IS artifacts Dyad’s shared domain knowledge. In Proceedings of the 27th annual Americas conference on information systems, AMCIS 2021.
Metadata
- Authors
- Shafik, W.
- Affiliations
- Dig Connectivity Research Laboratory (UG)
- Corresponding author
- Shafik, Wasswa
- ORCID
- Shafik, Wasswa
- Venue
- Sustainable Artificial Intelligence-Powered Applications
- Publisher
- Springer Nature Switzerland
- Published
- 2025
- Pages
- 11-21
- ISSN
- 3005-1762
- 3005-1770
- OpenAlex
- W4414526970
- Cited by
- 4
- References
- 40
- Citations by year
- 2026: 4
- FWCI
- 6.49
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Keywords
- personalized medicine, agentic AI, artificial intelligence in healthcare, patient-centered care, predictive modeling, multimodal diagnostics, patient empowerment, medication adherence, precision medicine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Health Care Redefined: Agentic AI in Personalized Medicine and Treatment. https://app.cochat.ai/papers/10.1007/978-3-031-89424-4_2
- The paper
- Shafik, W. (2025). Health Care Redefined: Agentic AI in Personalized Medicine and Treatment. Sustainable Artificial Intelligence-Powered Applications. https://doi.org/10.1007/978-3-031-89424-4_2
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
