Has Legit.Health taken part in any clinical validation?

Short answer

Yes, Legit.Health has been clinically validated in several Spanish hospitals by doctors of renown in each of their specialities.

The clinical validation studies that prove our technology works range from assessing its efficiency at improving the diagnosis and follow-up processes, both in general and also in pathology-specific studies, which test our tool’s sensibility and precision regarding that particular condition.

Several of our clinical validation studies have already been published in well-known medical journals, both in the fields of dermatology and computer science, and the rest are at different stages of the publishing process.

Long answer

The technology behind Legit.Health is complex and multifaceted. Behind a seemingly simple process for the user, several algorithms interact with each other not only with the aim of identifying the disease and its severity, but also to increase the adequacy of referral, ensure the image quality, and measure the effectiveness of treatment.

Each one of them has gone through or is going through clinical validation. We cannot divulge information about all the instances of clinical validation we are involved in, but we can give you a taste:

For example, we have recently published with the help of Dr Ramon Grimalt our ASCORAD paper in JID Innovations.

Automatic SCORAD for Atopic Dermatitis

Automatic Hidradenitis Suppurativa Scoring

Automatic Urticaria Activity Score

Dermatology Image Quality Assessment (DIQA)

Automatic Psoriasis Area and Severity Index

Additionally, we are taking part in several clinical trials regarding some of our technological advancements. 

We also are pushing to implement our technology into new areas of medical knowledge, like the case of our collaboration with Dr Sergio Vañó and his team at the Ramon y Cajal Hospital, which are spearheading the application of A.I. technology to measure the severity of frontal fibrosing alopecia (FFA). 

Another instance of Legit.Health’s team expanding the scope of the deep learning algorithmic technology applied to medical since would be facial palsy. Dr. Goiztidi Díaz Basterra, Dr. Luis Barbier Herrero y Dra. Estíbaliz Ortiz de Zárate is leading an effort at the Basurto Hospital to apply this revolutionary technology to this field.

In some cases, the promising results have pushed the research teams to expand the scope of the study. Like the study taking part in both the Cruces Hospital and Basurto Hospital under the scrutiny of Drs. Jesús Gardeazabal and Rosa María Izu Belloso studying the options of computer-assisted diagnosis in the case of Melanoma.