ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2021
When Does Physician Use of AI Increase Liability?
Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis 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
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 citations in OpenAlex.
- Artificial intelligence in headache medicine: between automation and the doctor-patient relationship. A systematic review.The journal of headache and pain · 2025Pooled it
- How Following Medical Artificial Intelligence Advice Can Mitigate Malpractice Liability: Cross-National Insights from a Randomized Trial.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026Trial
- Assessing the impact of information on patient attitudes toward artificial intelligence-based clinical decision support (AI/CDS): a pilot web-based SMART vignette study.Journal of medical ethics · 2025Trial
- From Assistance to Autonomy: Acceptability of Progressive Artificial Intelligence Integration in Facial Reconstructive Surgery-Protocol for Within-Subjects Vignette Experiment Among Romanian Adults.Healthcare (Basel, Switzerland) · 2026Article
- Risk and liability in the deployment of AI systems for surgery: a SAGES white paper.Surgical endoscopy · 2026Review
- Alignment of Policy, Practice, and Patient Safety for Trustworthy AI in Radiology.Radiology. Artificial intelligence · 2026Article
- Legal and ethical responsibility for AI-assisted diagnostic and referral errors: a scoping review of comparative approaches with implications for Saudi healthcare.BMC medical ethics · 2026Article
- Ethical and Legal Implications of Implementing AI in Gastrointestinal Endoscopy.Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society · 2026Review
- Artificial intelligence for colposcopic and cytological image analysis in early cervical cancer detection.iScience · 2026Review
- Clinical Artificial Intelligence (AI) Liability in the MENA Region: a Comparative Analysis of Hospital, Physician, Suppliers, and Vendor Responsibility.Medical archives (Sarajevo, Bosnia and Herzegovina) · 2026Article
- Collaborative framework on responsible AI in LLM-driven CDSS for precision oncology leveraging real-world patient data.NPJ precision oncology · 2025Article
- Integrated artificial intelligence in healthcare and the patient's experience of care.Scientific reports · 2025Article
- User Intent to Use DeepSeek for Health Care Purposes and Their Trust in the Large Language Model: Multinational Survey Study.JMIR human factors · 2025Article
- Assessing the impact of AI on physician decision-making for mental health treatment in primary care.Npj mental health research · 2025Article
- When can we Kick (Some) Humans "Out of the Loop"? An Examination of the use of AI in Medical Imaging for Lumbar Spinal Stenosis.Asian bioethics review · 2025Article
- Legal Liability for AI-Assisted Radiographic Diagnosis Errors: a Comparative Review of French, Jordanian, and UAE Law.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2025Article
- Moving beyond the AI sales pitch - Empowering clinicians to ask the right questions about clinical AI.Future healthcare journal · 2024Article
- Understanding Physician's Perspectives on AI in Health Care: Protocol for a Sequential Multiple Assignment Randomized Vignette Study.JMIR research protocols · 2024Article
- Doctors' perception on the ethical use of AI-enabled clinical decision support systems for antibiotic prescribing recommendations in Singapore.Frontiers in public health · 2024Article
- How AI May Transform Musculoskeletal Imaging.Radiology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An increasing number of automated and artificial intelligence (AI) systems make medical treatment recommendations, including personalized recommendations, which can deviate from standard care. Legal scholars argue that following such nonstandard treatment recommendations will increase liability in medical malpractice, undermining the use of potentially beneficial medical AI. However, such liability depends in part on lay judgments by jurors: when physicians use AI systems, in which circumstances would jurors hold physicians liable?
Indexed as
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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.