AI agents in healthcare
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
AI is not a substitute for human empathy.
“Importantly, AI is not a substitute for human empathy, rather it serves to amplify nurses’ empathic capacity by identifying subtle cues and automating supportive interactions without adding to their already demanding workloads.15”
AI serves to amplify nurses' empathic capacity by identifying subtle cues and automating supportive interactions without adding to their already demanding workloads.
“Importantly, AI is not a substitute for human empathy, rather it serves to amplify nurses’ empathic capacity by identifying subtle cues and automating supportive interactions without adding to their already demanding workloads.15”
Cites
Matching patients to clinical trials with large language models
Jin, Q., Wang, Z., Floudas, C. S., Chen, F., Gong, C., Bracken-Clarke, D., Xue, E., Yang, Y., Sun, J., & Lu, Z. (2024) · Nature Communications · doi:10.1038/s41467-024-53081-z · Cited by 287 · see citing works
Artificial Intelligence in Critical Care Medicine
Yoon, J. H., Pinsky, M. R., & Clermont, G. (2022) · Critical Care · doi:10.1186/s13054-022-03915-3 · Cited by 143 · see citing works
Liu, R., Ramli, A. A., Zhang, H., Henricson, E., & Liu, X. (2022) · Lecture notes in computer science · doi:10.1007/978-3-030-96068-1_1 · Cited by 72 · see citing works
Artificial Intelligence in Mental Health Care
Balamurugan, G., Vijayarani, M., & Radhakrishnan, G. (2023) · Indian Journal of Psychiatric Nursing · doi:10.4103/iopn.iopn_50_23 · Cited by 9 · see citing works
Muli-Agent AI Systems in Healthcare: Technical and Clinical AnalysisPreprint
Borkowski, A., & Ben-Ari, A. Y. (2024) · Preprints.org · doi:10.20944/preprints202410.0182.v1 · Cited by 7 · see citing works
Vennaro, N. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4922642 · Cited by 4 · see citing works
MAGEE, M. F., NASSAR, C. M., Dunlea, R., JAMES, B., MONTERO, A. R., Sack, P., Tweedt, A., Vetal, D., & Cobb, N. K. (2022) · Diabetes · doi:10.2337/db22-330-or · Cited by 3 · see citing works
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Artificial intelligence agents in healthcare research: A scoping review
Njei, B., Al-Ajlouni, Y. A., Sidney Kanmounye, U., Boateng, S., Loic Nguefang, G., Njei, N., Hamouri, S., & Al-Ajlouni, A. F. (2026) · PLOS One · doi:10.1371/journal.pone.0342182 · Cited by 27 · see citing works
AI agent in healthcare: applications, evaluations, and future directions
Zhao, L., Liu, S., Xin, T., Tan, J., Wang, X., Li, Y., Bian, Z., Chen, Y., Kong, F., Bian, J., et al. (2026) · npj Artificial Intelligence · doi:10.1038/s44387-026-00076-4 · Cited by 26 · see citing works
Artificial Intelligence agents for biological research: a survey
Qi, C., Wang, W., Jiang, S., Liu, Q., Song, X., Fang, H., & Wei, Z. (2026) · Briefings in Bioinformatics · doi:10.1093/bib/bbag075 · Cited by 11 · see citing works
Chow, J. C. L., & Li, K. (2026) · Information · doi:10.3390/info17040361 · Cited by 9 · see citing works
Girdwood, T., Kheirinejad, S., Kheirkhah, P., White, B., Davis, R., Schwartz, D., & Shaban-Nejad, A. (2026) · ESMO Real World Data and Digital Oncology · doi:10.1016/j.esmorw.2026.100694 · Cited by 3 · see citing works
Agentic AI Security in Critical Sectors: Finance, Healthcare, and Autonomous Driving
Huang, K., & Hughes, C. (2025) · Springer eBooks · doi:10.1007/978-3-032-02130-4_11 · Cited by 2 · see citing works
Self-citationNimbleLabs: Accelerating Healthcare AI Development Through Agentic AI
Shimgekar, S. R., Goyal, A., Vassef, S., Saha, K., Poellabauer, C., Vautier, X., Zonooz, P., & Kumar, N. (2025) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata66926.2025.11401464 · Cited by 2 · see citing works
Biswas, S., Mondal, R., & Saikia, M. J. (2026) · Future Internet · doi:10.3390/fi18080391 · Cited by 2 · see citing works
A conceptual agentic AI architecture for MASLD-associated significant fibrosis in primary care
Njei, B. M., & Kanmounye, U. S. (2026) · PLOS Digital Health · doi:10.1371/journal.pdig.0001500 · Cited by 1 · see citing works
Mastoi, Q.-U.-A., Phung, K., & Morley, A. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-35390-0_11 · Cited by 1 · see citing works
An Agentic Approach to Sustainable Environmental Monitoring Systems in Healthcare
Turcu, C. E., & Turcu, C. O. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-5636-5.ch003
Chauhan, R., Mishra, A., Yafi, E., & Zuhairi, M. F. (2026) · International Conference on Ubiquitous Information Management and Communication (IMCOM) · doi:10.1109/imcom69009.2026.11360907
Doctors as Supervisors: The Signal of Human Doctor Supervision Disclosure Reduces Privacy Concerns
Hu, J., Zhang, Z., Zhao, S., Meng, L. (., & Zhou, S. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2686774
- Authors
- Huang, K.
- Corresponding author
- Huang, Ken
- ORCID
- Huang, Ken
- Venue
- Progress in IS
- Publisher
- Springer Nature Switzerland
- Published
- 2025
- Pages
- 303-321
- ISSN
- 2196-8705 (ISSN-L)
- 2196-8713
- OpenAlex
- W4411152587
- Cited by
- 13
- References
- 7
- Citations by year
- 2026: 11 · 2025: 2
- FWCI
- 21.08
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- Locations
- Progress in IS (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- AI agents, health care, clinical decision support, medical diagnostics, drug discovery, administrative workflow, patient engagement, preventive medicine, sepsis treatment, clinical trial recruitment, predictive analytics, mental health support, multi-agent systems, natural language processing, wearable devices, robotic surgery, AI ethics and regulation, personalized medicine, global health
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.
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