ReviewCurrent pain and headache reports2025
Ethical Considerations in the Use of Artificial Intelligence in Pain Medicine.
Review in Current pain and headache reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Ethical concerns and strategies for implementing artificial intelligence in healthcare: a review of empirical studies.BMC medical ethics · 2026Pooled it
- Artificial intelligence in headache medicine: between automation and the doctor-patient relationship. A systematic review.The journal of headache and pain · 2025Pooled it
- Applications and challenges of biomarker-based predictive models in proactive health management.Frontiers in public health · 2025Pooled it
- AVPENet: Pain estimation from audio-visual fusion of non-speech sounds.PLOS digital health · 2026Article
- The role of smartphone-based functional metrics in pain medicine.Interventional pain medicine · 2026Article
- Digital health technologies in medicine: evidence, artificial intelligence integration, and ethical challenges.Infectious agents and cancer · 2026Review
- Review
- Bioengineering Support in the Assessment and Rehabilitation of Low Back Pain.Bioengineering (Basel, Switzerland) · 2025Review
- Expert consensus on feasibility and application of automatic pain assessment in routine clinical use.Journal of anesthesia, analgesia and critical care · 2025Review
- Neuropathic Pain: A Comprehensive Bibliometric Analysis of Research Trends, Contributions, and Future Directions.Current pain and headache reports · 2025Review
- Nursing Students' Perspectives on Integrating Artificial Intelligence Into Clinical Practice and Training: A Qualitative Descriptive Study.Health science reports · 2025Article
- Mixed pain: clinical practice recommendations.Frontiers in medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although the integration of artificial intelligence (AI) into medicine and healthcare holds transformative potential, significant challenges must be necessarily addressed. This technological innovation requires a commitment to ethical principles. Key issues concern autonomy, reliability, and bias. Furthermore, AI development must guarantee rigorous data privacy and security standards. Effective AI implementation demands thorough validation, transparency, and the involvement of multidisciplinary teams to oversee ethical considerations. These issues also concern pain medicine where careful assessment of subjective experiences and individualized care are crucial. Notably, in this rapidly evolving technological landscape, politics plays a pivotal role in establishing rules and regulations. Regulatory frameworks, such as the European Union's Artificial Intelligence Act and recent U.S. executive orders, provide essential guidelines for the responsible use of AI. This step is crucial for balancing innovation with rigorous ethical standards, ultimately leveraging the incredible AI's benefits. As the field evolves rapidly and concepts like algorethics and data ethics become more widespread, the scientific community is increasingly recognizing the need for specialists in this area, such as AI Ethics Specialists.
Indexed as
Identifiers
39760779What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.