首页|Royal London Hospital Reports Findings in Psoriatic Arthritis (AI in Psoriatic D isease: Scoping Review)
Royal London Hospital Reports Findings in Psoriatic Arthritis (AI in Psoriatic D isease: Scoping Review)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Autoimmune Diseases an d Conditions - Psoriatic Arthritis is the subject of a report. According to news reporting out of London, United Kingdom, by NewsRx editors, research stated, "A rtificial intelligence (AI) has many applications in numerous medical fields, in cluding dermatology. Although the majority of AI studies in dermatology focus on skin cancer, there is growing interest in the applicability of AI models in inf lammatory diseases, such as psoriasis." Our news journalists obtained a quote from the research from Royal London Hospit al, "Psoriatic disease is a chronic, inflammatory, immune-mediated systemic cond ition with multiple comorbidities and a significant impact on patients' quality of life. Advanced treatments, including biologics and small molecules, have tran sformed the management of psoriatic disease. Nevertheless, there are still consi derable unmet needs. Globally, delays in the diagnosis of the disease and its se verity are common due to poor access to health care systems. Moreover, despite t he abundance of treatments, we are unable to predict which is the right medicati on for the right patient, especially in resource-limited settings. AI could be a n additional tool to address those needs. In this way, we can improve rates of d iagnosis, accurately assess severity, and predict outcomes of treatment. This st udy aims to provide an up-to-date literature review on the use of AI in psoriati c disease, including diagnostics and clinical management as well as addressing t he limitations in applicability. We searched the databases MEDLINE, PubMed, and Embase using the keywords ‘AI AND psoriasis OR psoriatic arthritis OR psoriatic disease,' ‘machine learning AND psoriasis OR psoriatic arthritis OR psoriatic di sease,' and ‘prognostic model AND psoriasis OR psoriatic arthritis OR psoriatic disease' until June 1, 2023. Reference lists of relevant papers were also cross- examined for other papers not detected in the initial search. Our literature sea rch yielded 38 relevant papers. AI has been identified as a key component in dig ital health technologies. Within this field, there is the potential to apply spe cific techniques such as machine learning and deep learning to address several a spects of managing psoriatic disease. This includes diagnosis, particularly usef ul for remote teledermatology via photographs taken by patients as well as monit oring and estimating severity. Similarly, AI can be used to synthesize the vast data sets already in place through patient registries which can help identify ap propriate biologic treatments for future cohorts and those individuals most like ly to develop complications. There are multiple advantageous uses for AI and dig ital health technologies in psoriatic disease."
LondonUnited KingdomEuropeArthriti sAutoimmune Diseases and ConditionsCyborgsDermatologyDiagnostics and Scr eeningEmerging TechnologiesHealth and MedicineJoint Diseases and Condition sMachine LearningMusculoskeletal Diseases and ConditionsPapulosquamous Ski n Diseases and ConditionsPsoriasisPsoriatic ArthritisRheumatologySkin Di seases and ConditionsTechnology
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