Can Artificial Intelligence Hold a Dermoscope?—The Evaluation of an AI Chatbot to Translate the Dermoscopic Language

    May 2024 in “ Diagnostics ”
    Emmanouil Karampinis, Olga Toli, Konstantina-Eirini Georgopoulou, Elli Kampra, Christina Spyridonidou, Angeliki-Victoria Roussaki Schulze, Efterpi Zafiriou
    TLDR AI chatbots can help teach dermatology but need careful checking for accuracy.
    The study assessed an AI chatbot's ability to interpret dermoscopic language and provide differential diagnoses for skin lesions, involving 30 participants. The chatbot showed higher accuracy in diagnosing basal cell carcinoma (BCC) compared to squamous cell carcinoma (SCC) and inflammatory dermatoses like psoriasis and alopecia areata. While it offered valuable educational opportunities for novice dermatologists, concerns about potential inaccuracies and misleading conclusions were noted. The chatbot's performance varied, with some incorrect diagnoses, but it generally provided useful differential diagnoses and teaching tools, particularly for BCC. The study highlights the potential of AI chatbots in dermatology as educational aids but emphasizes the need for careful evaluation of their diagnostic outputs.
    Discuss this study in the Community →

    Related Community Posts Join

    6 / 17 results

    Similar Research

    5 / 1000+ results
      Secondary Cicatricial and Other Permanent Alopecias

      research Secondary Cicatricial and Other Permanent Alopecias

      20 citations, July 2008 in “Dermatologic Therapy”
      The document says that treating the root cause of hair follicle damage is crucial to prevent permanent hair loss, and treatment options vary.
      Madarosis

      research Madarosis

      33 citations, November 2006 in “Survey of Ophthalmology”
      Madarosis is the loss of eyelashes and eyebrows due to various health issues and requires thorough examination to diagnose and treat the underlying cause.