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Artificial intelligence for medicine 2025: Navigating the endless frontier
Jiyan Dai, Huiyu Xu, Tao Chen, Tao Huang, Weiqi Liang, Rui Zhang, Geng-Xin Xu, Zhiting Zhang et al.. The Innovation Medicine, 2025-01-01
Topic: Risk, prevention and care in population studies
Artificial intelligence (AI) is driving transformative changes in the field of medicine, with its successful application relying on accurate data and rigorous quality standards. By integrating clinical information, pathology, medical imaging, physiological signals, and omics data, AI significantly enhances the precision of research into disease mechanisms and patient prognoses. AI technologies also demonstrate exceptional potential in drug development, surgical automation, and brain-computer interface (BCI) research. Through the simulation of biological systems and prediction of intervention outcomes, AI enables researchers to rapidly translate innovations into practical clinical applications. While challenges such as computational demands, software development, and ethical considerations persist, the future of AI remains highly promising. AI plays a pivotal role in addressing societal issues like low birth rates and aging populations. AI can contribute to mitigating low birth rate issues through enhanced ovarian reserve evaluation, menopause forecasting, optimization of Assisted Reproductive Technologies (ART), sperm analysis and selection, endometrial receptivity evaluation, fertility forecasting, and remote consultations. In addressing the challenges posed by an aging population, AI can facilitate the development of dementia prediction models, cognitive health monitoring and intervention strategies, early disease screening and prediction systems, AI-driven telemedicine platforms, intelligent health monitoring systems, smart companion robots, and smart environments for aging-in-place. AI profoundly shapes the future of medicine.
Key findings
- By integrating clinical information, pathology, medical imaging, physiological signals, and omics data, AI significantly enhances the precision of research into disease mechanisms and patient prognoses.
Why it matters
This general review describes how artificial intelligence is being applied across medicine, including dementia prediction models and cognitive health monitoring. It reports no tested treatment, cure, or prevention for Alzheimer's disease.
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Study details
- Evidence strengthLow
How this study scored 39/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on institution's track record, so that was left out: it earned 38 of the 97 points we could judge it on, which is 39 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (The Innovation Medicine) |
| Journal's citation record | 0 / 4 | The Innovation Medicine: journal h-index 16 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2025 — within 3 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 3 / 7 | Cited 30 times (OpenAlex, 2026-10-10) |
| Citations per year | 3 / 5 | 10.0 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | 3 / 6 | Cited 6.3× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 2 / 4 | Cited 30 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 2 / 4 | Last-listed author Mei Tian: h-index 48 (OpenAlex, whole career) |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | 0 / 3 | OpenAlex lists 0 institution(s) in 0 countries — scores zero (affiliation lists can be incomplete) |
| Indexed in PubMed | 1 / 2 | Not in PubMed, but has a DOI |
| Free to read | 2 / 2 | Free to read |
| Points | 38 / 97 | Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 38 of the 97 points we could judge it on is 39 out of 100. |
| Total | 39 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
APA 7th
Dai, J., Xu, H., Chen, T., Huang, T., Liang, W., Zhang, R., et al. (2025). Artificial intelligence for medicine 2025: Navigating the endless frontier. The Innovation Medicine. https://doi.org/10.59717/j.xinn-med.2025.100120
Vancouver
Dai J, Xu H, Chen T, Huang T, Liang W, Zhang R, et al. Artificial intelligence for medicine 2025: Navigating the endless frontier. The Innovation Medicine. 2025. doi:10.59717/j.xinn-med.2025.100120.
BibTeX
@article{dai2025-ae477775,
author = {Dai, Jiyan and Xu, Huiyu and Chen, Tao and Huang, Tao and Liang, Weiqi and Zhang, Rui and Xu, Geng-Xin and Zhang, Zhiting and others},
title = {{Artificial intelligence for medicine 2025: Navigating the endless frontier}},
journal = {The Innovation Medicine},
year = {2025},
doi = {10.59717/j.xinn-med.2025.100120},
url = {https://doi.org/10.59717/j.xinn-med.2025.100120}
}
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