AI Can Help Identify, Manage Atopic Dermatitis: Report
In the era of AI, various trends have been observed that utilise AI in multiple sectors, having a major impact, especially in healthcare
AI Can Help Identify, Manage Atopic Dermatitis: Report
Effective management of atopic dermatitis has been one of the top priorities for physicians over the years, as the quality of life in these patients is compromised due to the disruptive symptoms that they experience, which include itchiness and skin inflammation
New Delhi: Artificial Intelligence (AI) can be a great tool in diagnosing and management of atopic dermatitis -- a chronic skin condition -- leading to more accurate, early, and standardised identification of the condition, thus optimising patient outcomes, according to a report on Thursday.
Atopic dermatitis is a complex disease presenting with a range of clinical manifestations and symptoms. In severe cases, atopic dermatitis is associated with sleep disturbances due to the pruritic rashes that appear on the skin during a flare-up, depression, anxiety, and loss of productivity.
Effective management of atopic dermatitis has been one of the top priorities for physicians over the years, as the quality of life in these patients is compromised due to the disruptive symptoms that they experience, which include itchiness and skin inflammation.
As the diagnosis of atopic dermatitis is primarily clinical, it may be subjective, resulting in variability in its diagnosis. In the era of AI, various trends have been observed that utilise AI in multiple sectors, having a major impact, especially in healthcare.
The report from GlobalData, a data and analytics company, noted that the lack of objective biomarkers for definitive diagnosis and assessment of the severity of chronic skin disease adds complexity to the diagnostic landscape.
“AI offers innovative solutions to challenges in the field of healthcare through the simulation of human intelligence in machines, with advancements paving the way for significant improvements in diagnostics, drug discovery, and personalised medicine,” said Filippos Maniatis, Healthcare Analyst at GlobalData.
“AI-powered image recognition can determine characteristic patterns of severity in skin lesion images, and through machine training,” Maniatis said, adding that “the diagnostic accuracy for severity can be significantly improved over time”.
