How AI Enhances Skin Allergy Testing | Tomorrow's Cure Season 2 Episode 8 скачать в хорошем качестве

How AI Enhances Skin Allergy Testing | Tomorrow's Cure Season 2 Episode 8

Traditional skin allergy patch testing can be cumbersome and time-intensive, often requiring multiple clinic visits. Mayo Clinic physicians have developed an emerging technology, allowing patients to capture photos of their skin. Through the power of an app, the providers have the ability to accurately analyze and assess the results. This approach eliminates the need for multiple clinic visits, saving time for both patients and clinicians. Also, an AI algorithm is able to detect differences in skin color, providing more accurate and personalized results. Learn how this cutting-edge technology is making patch testing easier and more accessible for everyone. Subscribe to Tomorrow's Cure wherever you get your podcasts. Visit tomorrowscure.com for more information. This podcast is for informational purposes only and should not be relied upon as professional, medical or legal advice. Always consult with a qualified health care provider for any medical advice. The appearance of any guest does not imply an endorsement of them, their employer, or any entity they represent. The views and opinions are those of the speakers and do not necessarily reflect the views of Mayo Clinic. Reference to any product, service or entity does not constitute an endorsement or recommendation by Mayo Clinic. Mayo Clinic has a financial interest in the technology referenced in this podcast. Mayo Clinic will use any revenue it receives to support its not-for-profit mission in patient care, education and research. From Mayo Clinic to your inbox, sign-up for free: https://mayocl.in/3e71zfi Visit Mayo Clinic: https://www.mayoclinic.org/appointmen... Like Mayo Clinic on Facebook:   / mayoclinic   Follow Mayo Clinic on Instagram:   / mayoclinic   Follow Mayo Clinic on X, formerly Twitter: https://x.com/MayoClinic Follow Mayo Clinic on Threads: https://www.threads.net/@mayoclinic