The future of measuring hidradenitis suppurativa is here thanks to Legit.Health's revolutionary AIHS4 (Automatic, International Hidradenitis Suppurativa Severity Scoring System). The researchers have developed a tool that processes smartphone images and automatically analyses them using the same criteria as the IHS4.
Dermatology has taken a giant leap forward with the introduction of Legit.Health's innovative ALEGI (Acne LEsion Grading Index). Leading researchers specializing in deep learning and neural networks have collaborated with renowned dermatologists to create this advanced algorithmic tool, designed to empower the next generation of medical professionals. This innovative solution integrates cutting-edge technology with expert medical insights, offering a robust platform for dermatological diagnosis and treatment planning.
It's widely known that objective, reliable, and precise outcome measures are key to the practice of evidence-based medicine. In the case of acne, is especially hard and tedious to apply the most accepted scoring systems, as they require the doctor to count lesions manually.
That's why Legit.Health has developed this tool that counts the number and density of acne lesions. Thanks to this, measuring the severity of acne is a task that only takes seconds.
The following screen capture of the Legit.Health tool shows a real-life use of the scoring system for acne. This can be used both on mobile and desktop.
Clinical trials are the engine that pushes forward medical science. What comes out as obvious is that the tools at the disposal of those at the forefront of progress should be as advanced and cutting-edge as the research that is been worked on.
The research that will propel us to the future shouldn't take place using tools of the past, especially if there are new tools that increase the reliability of outcome measures.
Legit.Health takes up the challenge of providing researchers with a modern, useful and reliable tool for their clinical trials by incorporating deep learning algorithms and image analysis technology into an easy-to-use and well-designed interface.
Clip extracted from the event IOT Solutions World Congress organised at Barcelona on Feb 12, 2023.
Legit.Health proudly introduces a significant advancement in dermatological assessments: the ASCORAD (Automatic SCORing Atopic Dermatitis) system. This innovative tool leverages advanced computer vision algorithms to analyze images captured by smartphones and automatically align them with the SCORAD scoring system.
Screen capture of the application https://legit.health
The ASCORAD has been echoed in recent scientific publications, such as the following article by the National Research Council of Italy, and the Universities of Palermo and Messina:
(...) very promising is the attempt to arrive at an automatic definition of AD severity by using CNNs (...) to achieve a scoring accuracy of erythema, papulation, excoriation, and lichenification severity comparable to that of dermatologists (...). Computational applicative advances in this direction have led to the more recent design of Automatic SCORing Atopic Dermatitis (ASCORAD).
Indeed, objective, reliable, and precise measurement tools are foundational to evidence-based healthcare. The integration of ASCORAD into Legit.Health's suite of tools represents a paradigm shift in how atopic dermatitis is evaluated and managed. By automating the SCORAD process, ASCORAD not only enhances the accuracy and reliability of assessments but also streamlines the workflow for healthcare professionals, setting a new standard for dermatological care.
Legit.Health has been clinically validated in various healthcare settings by leading specialists in their fields. Our technology has demonstrated its effectiveness in enhancing diagnosis and follow-up, with specific studies focused on certain pathologies to assess sensitivity and precision.
Several of these studies are published in prestigious journals within dermatology, with others in varying stages of publication. Furthermore, we also provide clinical evidence during the process of certification as a medical device, some of which have not been made publicly available.
You can find a full list of our scientific evidente in the Validation section of our website.
Clinical validation
Find out everything about our clinical validation process and our scientific evidence, including publications, congress presentations, and clinical trials.
The following Gantt chart shows the roadmap of our clinical validation activities. Our commitment to advancing the state of the art motivates us to continuously expand our research.
The future of dermatology has arrived thanks to Legit.Health's revolutionary application of the PASI system: APASI (Automatic Psoriasis Area and Severity Index). Using computer vision algorithms, the researchers have created a tool that processes smartphone images and automatically translates them into the domain of the PASI.
It is widely known that objective, reliable, and precise outcome measures are key to evidence-based medicine. When considering psoriasis, the PASI has the best measurement properties and is the most recommended for clinical trials. That is why we automated the PASI to help patients and doctors achieve better health outcomes.
In 2020, the healthcare provider Ribera Salud and Legit.Health started working together in one of the group's hospitals, the Torrejón Hospital, to implement the revolutionary algorithmic technology that, 2 years later, has shown excellent results thanks to the amazing job done by the doctors.
The pandemic could be a blessing in disguise, as it forced the teams to truly push the possibilities of remote care to new heights. In this particular case, the team at Torrejón Hospital needed to follow up on the patient's treatment but could not ensure all of them could go to the medical centre due to COVID-19.
Watch Dr Elena Sanchez Largo's presentation: Artificial Intelligence for Remote Monitoring of Patients With Skin Conditions, where she lays out an overview of how the hospital uses Legit.Health's solution.
In recent years, society as a whole has started to get used to the inevitability of a fully digital world embedding itself in all aspects of life, including healthcare.
And although there are many benefits the applied practice of telemedicine brings, there are also challenges to overcome before we can start to reap the benefits of this novel way of understanding healthcare.