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How Artificial Intelligence Is Useful In Detecting Skin Conditions?

How Artificial Intelligence Is Useful In Detecting Skin Conditions?

Our skin plays an important role in protecting our body from various factors like cold, dampness, and sunlight, as well as from harmful substances and germs. Also, there are many disorders, infections, and diseases that affect the skin from rashes to skin cancer and numerous other conditions.

With the advancement of technology, it has become much easier to detect skin conditions on our smartphones anytime. These AI doctors will examine your skin and let you know the diagnosis. It has also created more awareness among people about self-examination.

AI doctors for skin diagnosis
credit source – Google

It is very beneficial in the detecting skin cancer as well. It helps in detecting the condition so that treatment can be given to the patient before the condition gets worsened. The health conditions play a major role in changes to the color and texture of the skin. The external factors like heat, humidity etc. can irritate, inflame, or clog your skin and can cause itching, burning, redness, and swelling on the skin.

Similarly, irritants, allergies, your genetics, immune system problems, and diseases can lead to certain skin problems such as rashes and hives. While skin chronic skin conditions such as eczema, acne, psoriasis, and rosacea are not usually curable, they can often be treated with medicines and lifestyle changes.

skin care diagnosis with AI
Credit source – Google

When a person uses these type of technology to analyze the skin condition it doesn’t mean they don’t consult a doctor rather it helps you know if you are suffering from any skin condition that needs consultation from a dermatologist. The artificial intelligence is like an invisible personal assistant of the doctor that works in the background, helping dermatologist to deliver the best possible care to patients. You could check here this post which states that in a study it is found that AI is capable of detecting skin cancer efficiently like dermatologists.

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