The current role of artificial intelligence in hemophilia.

Hemophilia artificial intelligence current applications machine learning robotic-assisted surgery

Journal

Expert review of hematology
ISSN: 1747-4094
Titre abrégé: Expert Rev Hematol
Pays: England
ID NLM: 101485942

Informations de publication

Date de publication:
10 2022
Historique:
pubmed: 19 8 2022
medline: 25 10 2022
entrez: 18 8 2022
Statut: ppublish

Résumé

The utilization of artificial intelligence (AI) in hemophilia is still in its early phases. In this paper a review of the available information on AI in hemophilia has been performed, to better understand the relationship between hemophilia and AI. Regarding the physical elements of AI (robotics), robotic-assisted total knee arthroplasty and laparoscopic prostatectomy have been successfully performed in hemophilic patients. Concerning the virtual elements of AI, machine learning (ML) in hemophilia has been used with encouraging results for the following: prediction of disease severity, recognition of factor V as an essential modifier of thrombin generation in mild to moderate hemophilia A, development hemophilia-focused user-centered app, gene therapy, estimation of the risk of myocardial infarction, and identification of CRISPR/Cas9 nuclease off-target for the treatment of hemophilia. AI is an emerging reality that can produce a paradigm shift in hemophilia. Various AI systems can facilitate clinical care for professionals, improving the diagnosis and treatment of hemophilia. However, AI systems still have many limitations and raise operational and ethical issues. AI systems should be integrated prudently and reasonably within the practitioner's workflow.

Identifiants

pubmed: 35980129
doi: 10.1080/17474086.2022.2114895
doi:

Substances chimiques

Factor V 9001-24-5
Thrombin EC 3.4.21.5

Types de publication

Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

927-931

Auteurs

E Carlos Rodriguez-Merchan (EC)

Department of Orthopedic Surgery, La Paz University Hospital, Madrid, Spain.
Osteoarticular Surgery Research Department, Hospital La Paz Institute for Health Research - IdiPAZ (La Paz University Hospital - Autonomous University of Madrid), Madrid, Spain.

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Classifications MeSH