LAUSR

ABSTRACT Introduction The utilization of artificial intelligence (AI) in hemophilia is still in its early phases. Areas covered 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. Expert opinion 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.