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MedTech Outlook | Monday, August 29, 2022
“This tool brings dermatologists closer to recognizing dermatological disorders such as a bothersome rash on arms by utilizing the phone's camera.”
Fremont, CA: Technology has an impact on many facets of our lives. Artificial intelligence (AI) is one of the most widely debated achievements in modern technology. It employs computer methods that, in some ways, resemble the human thought process. Under the purview of AI, almost every medical practice has been affected by its effects somehow. Medical diagnosis, medical statistics, robotics, and human biology are most prominent.
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AI can improve clinicians' ability to care for patients and control disease, from boosting breast cancer screening to recognizing tuberculosis more promptly. Although the uses of AI are expanding, some of its current limits include massive data requirements, data interpretation, and ethical considerations. However, by combining these AI developments with other technology, such as smartphone cameras, we can open up new paths for people to be more informed about their health.
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Today, AI-powered dermatology tools are available to assist dermatologists in understanding related concerns on the body's largest organ: skin, hair, and nails. This tool brings dermatologists closer to recognizing dermatological disorders such as a bothersome rash on arms by utilizing the phone's camera. The AI model evaluates this data and draws on its conditions to provide patients with a list of possible matching conditions, further investigating them. The tool will display dermatologist-reviewed material and answers to frequently asked questions for each matching state and similar matching photographs from the web to provide a diagnosis or serve as a replacement for medical advice. It also offers many illnesses requiring professional assessment, in-person examination, or additional testing such as a biopsy.
Additionally, AI-powered mobile applications helps dermatologist diagnose quality care accounted for every factors like age, sex, race and skin types — from pale skin that does not tan to brown skin that rarely burns. These are developed and fine-tuned model with de-identified data encompassing around 65,000 images and case data of diagnosed skin conditions, millions of curated skin concern images and thousands of examples of healthy skin — all across different demographics. This, in turn, gives dermatologist the access to authoritative information to make a more informed decision about next step.
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