ReviewActa informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH2025
Legal Frameworks for AI-driven Diagnostics and Robotic Surgery.
Review in Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Intelligent therapeutic robotic-assisted surgery as the next frontier of precision oncology.Frontiers in oncology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: As technological advancements grow, so does its impact. Humans are seeing more and more computerization, a lot of it is being used for surgery. Their merger results in various legal problems relating to regulation, patient safety, and governance. Objectives: The main objectives of this article are to study and join together legal rules and systems as it pertains to the use of artificial intelligence in medical situations for all main countries. Methods: A narrative legal review was conducted to see what's been going on since 2010. Their sources were official documents like drug administration and legislation along articles written by numerous professors. Researchers in government are finding new ways to monitor themselves. Results: Most AI health diagnosis had a regulated path if having to be approved, though one diagnostic system challenged that. The high-risk method of using robotic surgery leaves room for error between the overseeing surgeon and the manufacturer of the robot to be liable. Cross-cutting subject consist of the GDPR, HIPAA, the post-market and the surveillance, cybersecurity, and ethical considerations, which consist of the legal and privacy issue we have to take and apply into our lives every day. The progress in regulations has been noticed, but remains unclear for its implementation across different parts of the world. Conclusion: A cohesive framework is required to balance innovative advancements with safety precautions for patients. Future governance must combine technology standards, medical testing, and safety rules to improve how artificial intelligence and robots are used in medical centers.
Indexed as
Identifiers
What 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.