RecruitingOBSERVATIONAL

AI-Driven Early Detection of Skin Cancer

This study is looking at a new smartphone app, called NuvanaDx, that uses artificial intelligence (AI) to help find skin cancer, especially melanoma, at an early stage. The app works by analysing pictures of skin spots taken with a smartphone. The main goal is to see if this AI tool can accurately identify suspicious skin lesions and help people get diagnosed more quickly. This could mean shorter waiting times to see a specialist and ensure that those who need attention most urgently get it sooner. Researchers are checking how accurate the AI is across different people and skin tones, and also how easy and helpful it is for people to use in real-life healthcare.

At a glance

Status

Recruiting

Sponsor

Nuvana Healthcare LTD

Enrolment target

100

Start

01 Oct 2025

Estimated completion

01 Jan 2026

Skin Cancer Melanoma

What is this study about?

This research is investigating a clever new tool that could change how we spot skin cancer early. It involves a smartphone app, called NuvanaDx, which uses artificial intelligence (AI) – a type of computer intelligence – to look at pictures of your skin spots. Think of it like a smart assistant that can help flag up areas that might need a closer look by a doctor or dermatologist.

The main idea is to make it easier and quicker for people to get an initial check on suspicious skin lesions. By doing this, we hope to improve the chances of catching skin cancers, like melanoma, when they are at an early and often more treatable stage. This could be particularly helpful in reducing waiting times to see a specialist and making sure people are directed to the right care pathway promptly.

Researchers will be comparing the app's findings with diagnoses already confirmed by skin doctors. They want to make sure the AI is really good at telling the difference between harmless spots and those that could be skin cancer. They'll also be looking at how easy the app is for people to use and how well it could fit into your typical healthcare journey in the future.

Key takeaways

This study uses an AI smartphone app to help detect skin cancer early.
It aims to improve diagnosis speed and access to care.
Researchers are checking how accurate the AI is and how easy it is to use.
Participation involves taking non-invasive smartphone pictures of a suspicious skin spot.
Your data will be anonymous to protect your privacy.
This research could help many people get earlier skin cancer checks in the future.

Who may be eligible?

This study is looking for adult volunteers, aged 18 or over, who have a skin spot or lesion that their doctor thinks might be suspicious or concerning. You would need to be able to understand the study and agree to take part freely.

We wouldn't be able to include you if you're unable to give your consent to participate. Also, if the pictures of your skin lesion are not clear enough for the special AI program to analyse properly, you might not be able to join the study.

Could this study suit you?

Answer these quick questions to see if you may be eligible. This is a guide only — the research team makes the final call.

Are you 18 years old or older?
Do you have a skin spot that your doctor finds suspicious?
Can you understand information about the study and agree to take part?
Can clear pictures be taken of your skin spot?

Answer every question to see your result.

What does participation involve?

The study involves the collection of images of your skin spots. This will use the NuvanaDx platform on a smartphone. The images collected will be anonymised, meaning your personal identifying information will be removed. Researchers will compare the AI's analysis of these images with the diagnosis confirmed by a dermatologist. There are no medications involved in this study. The total duration of your individual participation would depend on when your images are collected and analysed, but it typically involves a single interaction for image submission. There isn't a long-term follow-up as part of this particular study for individual participants after the initial image collection.

Potential risks and benefits

A potential benefit of taking part is contributing to research that could lead to faster and more accessible early detection of skin cancer for everyone. There are no direct medical benefits to you as an individual participant. The main risk involves taking images of your skin lesion, which is a non-invasive process. Your images and data will be anonymised to protect your privacy. You are free to withdraw from the study at any time without giving a reason, and this will not affect your medical care.

Locations (1)

Some site locations are approximate. We're improving this — please verify with the trial team before travelling.

Nuvana Healthcare Ltd
Verified postcode
London, United Kingdom· Recruiting

Common questions

What is AI?

AI stands for Artificial Intelligence. It's a computer program designed to learn and make decisions, much like a human brain, but very quickly. In this study, it's learning to analyse skin spots.

Is this app a replacement for my doctor?

No, this app is a tool designed to support doctors and help with early detection. It's not meant to replace seeing a healthcare professional for diagnosis or treatment.

Will my personal data be safe?

Yes, all images and information collected will be anonymised, meaning your name and other identifying details will be removed to protect your privacy.

Do I need a special type of smartphone?

The study uses the NuvanaDx platform. Specific phone requirements would be handled by the research team if you were to participate.

What happens if the AI spots something worrying?

This study is for research. If something concerning is found during your regular medical care, your doctors would follow their usual procedures. The AI tool is being tested for its accuracy against established diagnoses.

How to find out more

Sushma Saxena, Director, Nuvana Healthcare Ltd

sushma.saxena@nuvana.co.uk +44 7481986525 Official trial record

Always speak to your GP or specialist before deciding to take part in a study.