Artificial Intelligence Of Google Medicine For Diagnose Skin Conditions
This new artificial intelligence from Google helps diagnose skin conditions | Technology
Google is working on a tool based on artificial intelligence that will offer us a previous diagnosis of some type of skin condition.
Artificial Intelligence was born to make life much easier for us, and within it is modern medical care, especially during the current pandemic that has taught humanity a lot for future years.
Google is leveraging artificial intelligence for healthcare, in a way to help users learn about skin conditions.
Specifically, what the Mountain Viewers want is to implement diagnostic artificial intelligence for skin conditions using smartphones, thus allowing the user himself to have an idea of what his diagnosis could be. Obviously this is not born to replace the role of a professional dermatologist, but to give a preliminary idea.
This preliminary version of the artificial intelligence tool was born to inform users about the state of their skin, but also their nails and hair. Artificial intelligence technology uses techniques similar to those used to identify lung cancer and diabetic eye disease. For this the tool uses a camera to capture an image of the skin and then provides the possible causes of various symptoms.
So you know its importance, this Google digital intelligence tool extracts 65,000 skin images and case data. The good news is that it is very easy to use since all you would need is a web-based application, three photos of the affected area of the skin and wait for the preliminary diagnosis.
A new 3D printer allows skin to be printed directly on wounds, favoring their regeneration. The skin is created from the patient’s own cells.
Before doing so, the application processes the images, and asks users how long it has been since they have had symptoms, using different answers to arrive at a more precise list of possible diagnoses. extracting an archive knowledge of 288 skin conditions to give probable matches that users can take to a dermatologist.
The tool would be born as a complement and never as a replacement for a professional dermatologist, but it could avoid false information when a person searches for some type of skin condition on Google, which could trigger alarm when it is not.
Good or bad? This question should be answered easier and faster using artificial intelligence.
Google Search, Google Maps, and Google Web Browser: If the internet company finds its way, the next Google doctor can follow. This week, the company announced the “Derm Assist” health app that helps patients and clinicians learn about skin diseases. Users upload three photos of their skin, answer a series of questions about skin type and symptoms, then receive an initial AI diagnosis — including verified information from a dermatologist, answers to frequently asked questions and related web links.
The idea is not new: smartphone apps with similar functions like Skin vision, Miiskin and Aysa already exist. But the advantage of the Google app is that it can recognize many different skin diseases — 288 in number — and is easily accessible: if everything goes according to plan, the app will be integrated into Google’s search engine across Europe by the end of the year. The search query should be sufficient to call the application.
This can make Derm Assist a daily app that reaches millions of people. No Doubt To The Demand: Google logs nearly ten billion search queries every year relating to issues with the largest human member.
The sheer interest in the topic is one of the reasons Google is so focused on dermatology. For years, the company has been researching early detection of diseases, including various types of cancer, eye diseases and tuberculosis. Derm Assist is Google’s first foray into practical and publicly available diagnostics with the help of artificial intelligence (AI). The European Union has designated the basic AI model as a medical product in the lowest risk category, but the application has not yet been approved in the USA
The app is as good as dermatologists
The EU certification was preceded by three years of research and development. In a clinical study published in the scientific journal Nature Medicine, Google’s AI diagnosed 963 cases of skin disease with the same accuracy as six dermatologists in the United States. The AI model used by Derm Assist is more advanced and has been trained with millions of model images for different skin types and skin abnormalities.
High infection rate or not: Google explains that the app provides guidance only and does not replace a dermatologist. It is often not possible to know if a mole has undergone a serious change with the naked eye. Professor Alexander Navarini, Head of the Department of Dermatology at the University Hospital Basel says:
“Only a dermatologist can provide residual safety with the help of something called a reflexology microscope or tissue sample. You cannot do both at home on your own.”
“However, it makes sense that ordinary people also get a first idea of what could be about the skin changes,” the expert adds. In addition, these applications stimulate examination of the skin, which promotes early detection.
Problems arise when AI makes a false positive diagnosis or, more seriously, a false negative diagnosis. Either way, psychological factors can delay a doctor’s visit: An anxious patient can fear the worst diagnosis and postpone a medical examination, while an optimistic patient hopes for a harmless diagnosis and thus sees no reason to see a dermatologist right away. So the community should be informed of the benefits and risks of these apps.
Bettina Schlaggenhof of the Swiss Society of Dermatology sees the advantages of AI-assisted diagnostics:
“We assume that the certainty of diagnosis will increase slightly and that patients will also be able to check and understand the diagnoses on their own.”
AI Dermatologist Skin Scanner App Link:
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