Academic Journal
IFCN position statement: use of artificial intelligence in clinical neurophysiology.
| Τίτλος: | IFCN position statement: use of artificial intelligence in clinical neurophysiology. |
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| Συγγραφείς: | Husain AM; Department of Neurology, Duke University Medical Center, Durham, NC, USA. Electronic address: Aatif.husain@duke.edu., Beniczky S; Department of Clinical Neurophysiology, Danish Epilepsy Centre Filadelfia, Dianalund and Department of Clinical Medicine/Clinical Neurophysiology, University of Copenhagen & Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark., Bensalem-Owen M; Department of Neurology, University of Kentucky, Lexington, KY, USA., Bland J; Department of Clinical Neurophysiology, East Kent Hospitals University NHS Foundation Trust, Kent & Canterbury Hospital, Canterbury, UK., Brinkman BH; Departments of Neurology, Physiology, and Biomedical Engineering, Mayo Foundation, Rochester, MN, USA., Hanajima R; Division of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Yonago, Japan., Holub M; Cadwell Industries, Inc., Kennewick, WA, USA., Jehi L; Department of Neurology, Cleveland Clinic and Center for Computational Life Sciences, Lerner Research Institute, Cleveland, OH, USA., Nandedkar S; Natus Medical Inc., Middleton, Medical College of Wisconsin, Milwaukee, WI, USA., Shahrizaila N; Division of Neurology, Faculty of Medicine, University of Malaya & University Malaya Medical Centre, Kuala Lumpur, Malaysia., Tankisi H; Department of Clinical Neurophysiology, Aarhus University Hospital and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark., Tannemaat MR; Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands., Westover MB; Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA., Paulus W; Department of Neurology, Ludwig Maximilians University, Munich, Germany. |
| Πηγή: | Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2026 Sep; Vol. 189, pp. 2111893. Date of Electronic Publication: 2026 Apr 16. |
| Τύπος έκδοσης: | Consensus Statement; Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 100883319 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8952 (Electronic) Linking ISSN: 13882457 NLM ISO Abbreviation: Clin Neurophysiol Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Amsterdam : Elsevier, c1999- |
| Ιατρικοί όροι (MeSH): | Artificial Intelligence*/standards , Artificial Intelligence*/trends , Neurophysiology*/standards , Neurophysiology*/methods, Humans |
| Περίληψη: | In recent years, artificial intelligence (AI) has made significant strides, gaining traction across various domains, including clinical medicine. The integration of AI as a decision-support tool introduces complexities, particularly in ensuring patient safety and upholding clinical accountability. This is especially pertinent in clinical neurophysiology (CNP), where AI shows promise in enhancing the interpretation of neurophysiologic data from modalities such as electroencephalography, electromyography, and others. Recognizing the potential and inherent challenges of AI integration, the International Federation of Clinical Neurophysiology (IFCN) has set forth guidelines to steer the responsible development, evaluation, and application of AI technologies in CNP. The IFCN's core position on AI in CNP emphasizes improving healthcare outcomes, prioritizing patient-centered care, maintaining transparency in AI-generated interpretations, and supporting, rather than replacing, clinical expertise. As AI technology evolves, the IFCN stresses that models implemented in clinical practice, especially when lacking supervision by experts must meet stringent standards for accuracy, safety, and quality control, and that AI cannot substitute expert care without adequate oversight. The successful integration of AI in CNP hinges on dataset diversity, transparent and ethical training practices, and balancing model complexity with real-world validation. Continuous performance monitoring and clinician feedback are vital to maintaining AI system reliability over time. The IFCN envisions a future where AI ethically enhances CNP practice through multidisciplinary collaboration, focusing on patient safety, clinical integrity, and scientific rigor. Properly implemented, AI can revolutionize CNP by offering real-time decision support, personalized interventions, and remote monitoring, thus advancing the quality of care in CNP. (Published by Elsevier B.V.) |
| Competing Interests: | Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Aatif M. Husain: Consulting for PranaQ; treasurer, IFCN, member, American Academy of Sleep Medicine AI Committee (uncompensated). Meriem Bensalem-Owen: Grants from Xenon, UCB, Neuropace; member of Council, American Clinical Neurophysiology Society (uncompensated); President of Board of Directors, Epilepsy Foundation of Kentuckiana (uncompensated). Jeremy Bland: Consulting fees from Phillips Medical Ultrasound; honoraria from King’s College London for teaching/lectures. Benjamin H. Brinkman: Grants from National Institutes of Health, UNEEG Medical, Epilepsy Foundation of America; Royalties from Cadence Neuroscience; honoraria from Eisai Inc; support for attending meetings from Freiburg University; patents for brain impedance, multiscale electrodes, wearable devices; co-chair ILAE Neurotechnology section (uncompensated). Michal Holub: Employee, Cadwell Industries, Inc. Lara Jehi: Provisional patent for “predictor of seizure outcome after epilepsy surgery using peri-ictal scalp EEG data; steering committee member of the AI Alliance. Sanjeev Nandedkar: Employee, Natus Medical, Inc. Hatice Tankisi: Member, IFCN Executive Committee, President of Europe-Middle East-Africa Chapter of IFCN, European Chapter of Neurology, Teaching Course subcommittee member. Martijn R. Tannemaat: Grants from ArgenX, NOW, ZonMW, Huma Therapeutics, Cadwell; consulting fees from UCB Pharma, ArgenX, Johnson & Johnson; honorarium from UCB Rare Diseases Connect in Neurology; support for meeting attendance by UCB Rare Disease Connect in Neurology; scientific advisor Spierziekten Nederland (patient advocacy organisation. M. Brandon Westover: Grants from NIH; co-founder, scientific advisor, consultant to, and with personal equity in Beacon Biosignals. Sandor Beniczky, Ritsuko Hanajima, Nortina Shahrizaila, Walter Paulus: No relevant conflicts reported. |
| References: | NPJ Digit Med. 2022 May 31;5(1):66. (PMID: 35641814) Epilepsia. 2025 Sep;66 Suppl 3:39-52. (PMID: 37983589) Clin Neurophysiol Pract. 2022 May 25;7:146-165. (PMID: 35734582) Biol Psychiatry. 2024 Mar 15;95(6):545-552. (PMID: 37743002) Front Med (Lausanne). 2023 Nov 27;10:1305756. (PMID: 38089864) Bioengineering (Basel). 2024 Feb 22;11(3):. (PMID: 38534480) Clin Neurophysiol. 2025 Aug;176:2110777. (PMID: 40554380) Neurodiagn J. 2025 Mar;65(1):2-12. (PMID: 39999187) Lancet Digit Health. 2021 Mar;3(3):e195-e203. (PMID: 33478929) JAMA Dermatol. 2018 Nov 1;154(11):1247-1248. (PMID: 30073260) Clin Neurophysiol. 2023 Feb;146:49-54. (PMID: 36535091) Health Policy. 2024 Nov;149:105152. (PMID: 39244818) Neurology. 2018 Apr 10;90(15):708-711. (PMID: 29632112) J Clin Neurophysiol. 2018 May;35(3):242-245. (PMID: 29373396) Br J Radiol. 2023 Oct;96(1150):20230023. (PMID: 37698583) Nat Med. 2019 Jan;25(1):30-36. (PMID: 30617336) J Clin Neurophysiol. 2017 Mar;34(2):179-186. (PMID: 27749505) NPJ Digit Med. 2023 May 6;6(1):86. (PMID: 37149704) Proc Natl Acad Sci U S A. 2023 Sep 5;120(36):e2221704120. (PMID: 37639604) Nat Commun. 2018 Dec 6;9(1):5229. (PMID: 30523329) Nat Mach Intell. 2019 May;1(5):206-215. (PMID: 35603010) J Clin Sleep Med. 2024 Sep 1;20(9):1479-1488. (PMID: 38652502) Cogn Neurodyn. 2024 Dec;18(6):3565-3583. (PMID: 39712121) Epilepsy Curr. 2023 Jan 18;23(2):78-83. (PMID: 37122399) Nat Commun. 2025 Feb 03;16(1):1307. (PMID: 39900901) Brain. 2025 Jul 7;148(7):2320-2330. (PMID: 39820267) JAMA Neurol. 2023 Aug 1;80(8):805-812. (PMID: 37338864) Pract Neurol. 2023 Nov 23;23(6):476-488. (PMID: 37977806) Nat Commun. 2023 Nov 6;14(1):6938. (PMID: 37932250) |
| Grant Information: | R01 NS126282 United States NS NINDS NIH HHS |
| Contributed Indexing: | Keywords: Artificial intelligence; CNP; EEG; EMG; Position statement |
| Entry Date(s): | Date Created: 20260501 Date Completed: 20260613 Latest Revision: 20261022 |
| Update Code: | 20261022 |
| PubMed Central ID: | PMC13680692 |
| DOI: | 10.1016/j.clinph.2026.2111893 |
| PMID: | 42067415 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1872-8952 |
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| DOI: | 10.1016/j.clinph.2026.2111893 |