Mobile Application

machine-learning

Medical Artificial Intelligence (AI) and Augmented Reality (AR) on your Phone

Skinopathy is currently in private beta testing for our new AI & AR powered application that will revolutionize skin cancer in two very different ways.

For the doctor

Cancerous skin tissue can sometimes extend beyond the measurable lesion and is typically unseen to even the most eagle-eyed surgeon. That is why some surgeons choose to be overly cautious and remove more skin than might be necessary in order to prevent the need for further surgery, which can lead to visible scarring and other disfigurements.

Conversely, it is possible that cancerous tissue remains following an excision due to the vagaries of the human body, quality-of-life considerations, or experience of the surgeon. This can potentially lead to continued growth and additional excisions in the future.

Our technology is able to determine, pixel by pixel, the boundaries of cancerous skin tissue that may not be seen by the naked eye and allow surgeons to then see an overlay of those boundaries through their mobile device’s camera. That overlay will help surgeons determine the margins of excision needed when removing cancerous tissue.

This will significantly reduce the hardships felt by the patient and the strain levied on the healthcare system.

For the patient

The technology will allow people to take pictures of their skin lesion and render a preliminary analysis. The results will advise on the severity of their condition and provide online access to healthcare practitioners in a matter of days, sometimes even hours.

Patients – particularly those who are most vulnerable – will quickly get the attention they need and no longer have to wait weeks or months see a skin cancer specialist.

Medical Artificial Intelligence (AI) and Augmented Reality (AR) on your Phone

Skinopathy is currently in private beta testing for our new AI & AR powered application that will revolutionize skin cancer in two very different ways.

For the doctor

Cancerous skin tissue can sometimes extend beyond the measurable lesion and is typically unseen to even the most eagle-eyed surgeon.That is why some surgeons choose to be overly cautious and remove more skin than might be necessary in order to prevent the need for further surgery, which can lead to visible scarring and other disfigurements.

Conversely, it is possible that cancerous tissue remains following an excision due the vagaries of the human body, quality-of-life considerations, or experience of the surgeon. This can potentially lead continued growth and additional excisions in the future.

Our technology is able to determine, pixel by pixel, the boundaries of cancerous skin tissue that may not be seen by the naked eye and allow surgeons to then see an overlay of those boundaries through their cellphone’s camera. That overlay will help surgeons determine the margins of excision needed when removing cancerous tissue.

This will significantly reduce the hardships felt by the patient and the strain levied on the healthcare system.

For the patient

The technology will allow people to take pictures of their skin lesion and render a preliminary analysis. The results will advise on the severity of their condition and provide online access to healthcare practitioners in a matter of days, sometimes even hours.

Patients – particularly those who are most vulnerable – will quickly get the attention they need and no longer have to wait weeks or months see a skin cancer specialist.

machine-learning
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