Legit.Health

by Legit.Health  · Based in Spain → — AI-Powered Dermatology Clinical Decision Support
Dermatology
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Overview

Legit.Health is an AI-powered clinical decision support tool specifically designed for dermatologists and healthcare professionals managing skin conditions. The platform leverages computer vision and convolutional neural networks to assist with accurate diagnosis, objective treatment supervision, and smart referrals for a wide range of dermatological conditions. It transforms smartphone images into objective clinical data, automating severity scoring for conditions like Psoriasis (PASI), Atopic Dermatitis (SCORAD), Urticaria (UAS), and Acne (GAGS).

The tool aims to enhance diagnostic accuracy, improve the efficiency of clinical workflows, and facilitate better patient-doctor communication. It includes features like real-time image quality assessment, a patient and doctor app for easy data submission and progress tracking, and robust API integrations (including Deep Link and FHIR compatibility) to seamlessly fit into existing healthcare systems.

Legit.Health is a CE-marked medical device and is ISO 13485 compliant for quality management. It is also designed to comply with GDPR and HIPAA regulations, ensuring secure and private handling of sensitive patient data.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered diagnosis support for 200+ skin conditions (expandable to 823)
  • Automated severity scoring (e.g., PASI, SCORAD, EASI, IHS4, GAGS, UAS7, SALT)
  • Treatment supervision and monitoring
  • Smart referral system
  • Real-time image quality assessment (DIQA)
  • Patient & Doctor mobile applications
  • API integration (Dermatology API, Deep Link API)
  • FHIR compatible for interoperability
  • End-to-end encrypted data security
  • Clinical validation and peer-reviewed research

Use Cases

  • Clinical decision support for dermatologists
  • Remote consultations and telemedicine
  • Patient monitoring and follow-up
  • Accelerating dermatology clinical trials
  • Smart triage and patient flow management
  • Administrative task automation

What Physicians Need to Know

Evidence Base (guidelines, literature scope)
Legit.Health utilizes computer vision convolutional neural networks to provide clinical insights from images of skin lesions. The platform automates established dermatological scoring systems such as PASI, SCORAD, and UAS, and has developed its own scoring systems for conditions like acne. Their algorithms support diagnosis and follow-up for over 200 skin conditions, with the capability to expand to 823. The technology is supported by published clinical evidence from several Spanish hospitals and peer-reviewed validation studies.
Clinical Validation Studies
Legit.Health has undergone clinical validation in various healthcare settings by leading specialists. Studies demonstrate its effectiveness in enhancing diagnosis and follow-up, with specific assessments of sensitivity and precision for different pathologies. A multi-reader multi-case study indicated that Legit.Health significantly improved primary care physicians' diagnostic accuracy from 72.96% to 82.22% and increased remote consultation rates. Published research includes studies on Dermatology Image Quality Assessment (DIQA), optimization of dermatology referrals, continuous remote monitoring of patient conditions, and automatic scoring systems for Atopic Dermatitis (ASCORAD), Psoriasis (APASI), Hidradenitis suppurativa (AIHS4), and Urticaria (AUAS).
Alert Fatigue Management
While the search results discuss alert fatigue generally and how technology can mitigate it by prioritizing and contextualizing alerts, Legit.Health's specific features for managing alert fatigue from its own system are not explicitly detailed. However, its API can be used to generate 'smart alerts' for triage and referrals, which could contribute to more relevant notifications and potentially reduce unnecessary alerts.
Drug Interaction Checking
Legit.Health does not appear to offer drug interaction checking as a feature, based on the provided search results. Its primary focus is on dermatological image analysis, diagnosis, and severity assessment.
Differential Diagnosis Support
The AI provides immediate data to healthcare professionals to assist in diagnosis, capable of screening for over 200 ICD-11 skin conditions, with potential expansion to 823. Diagnostic reports include information on pathologies and can indicate overall malignancy suspicion, directly supporting differential diagnosis.
Guideline Update Frequency
Legit.Health's algorithms are continuously evolving. While general information on clinical guideline updates suggests annual or more frequent changes, specific details on Legit.Health's internal guideline or algorithm update frequency were not explicitly stated.
Clinical Workflow Integration
Legit.Health offers flexible integration methods including Deep Link API, JSON-only integration, and iFrame embedding. The API is FHIR compatible, designed to integrate seamlessly into existing software and workflows without disrupting the doctor's routine, allowing for a new layer of analysis and technology without increasing workload. It facilitates easy data sharing and user experience.
Decision Audit Trail
The API provides a 'DiagnosticReport' containing information generated by the AI, including internal identifiers for the diagnostic report, patient, and condition. It also includes 'previousDiagnosticReportId' and 'nextDiagnosticReportId', enabling the tracking of a pathology's evolution over time, thus creating a decision audit trail.
Physician Tip

Leverage Legit.Health for rapid, objective dermatological assessments and severity scoring, reducing manual workload and enhancing diagnostic accuracy, especially for common skin conditions. Utilize its smart referral capabilities to optimize patient pathways and improve remote consultation efficiency. The integrated patient app can empower patients to actively participate in their treatment by providing accurate data for follow-up.

Legit.Health's robust API and iFrame integration options, including FHIR compatibility, allow for seamless incorporation into existing Electronic Health Record (EHR) systems and clinical software. This ensures minimal disruption to current workflows while adding advanced AI-powered dermatological analysis and patient communication tools.

Details

Category Clinical Decision Support & Reference, Dermatology AI
Pricing Contact for pricing — Not publicly disclosed.
DeploymentCloud-based (Standalone web app, API integration, Deep Link integration)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated

Legit.Health is a CE-marked medical device under the EU Medical Device Directive (MDD 93/42/EEC) and is transitioning to Class IIb under the EU Medical Device Regulation (MDR 2017/745). There is no mention of FDA clearance or approval.
Integrations
EHR Not specified
Specialties Dermatology

What the Web Says

Legit.Health is an AI-powered clinical decision support tool designed for dermatologists, aiming to improve diagnostic accuracy, streamline administrative tasks, and enhance patient-doctor communication. The platform utilizes computer vision and deep learning algorithms to assess various skin conditions and automate scoring systems. It has undergone clinical validation, showing increased diagnostic accuracy for primary care physicians in certain dermatological conditions.

Overall: Positive

Strengths

  • Enhances diagnostic accuracy for dermatological conditions, particularly for primary care physicians.
  • Automates severity assessment of common skin conditions using established and proprietary scoring systems.
  • Improves patient-doctor communication through a companion app, allowing easy and reliable data sharing.
  • Reduces administrative burden and physician burnout by assisting with routine tasks like follow-up consultations and medical record management.
  • Offers a user-friendly interface for both doctors and patients.
  • Clinically validated with studies published in dermatology journals and holds European CE marking and ISO 13485 compliance.

Limitations

  • Some clinical validation studies had low sample sizes per pathology, leading to non-statistically significant p-values for all cases.
  • No specific negative reviews from physicians, healthcare IT, or tech reviewers were found in the search results.
  • No reviews or opinions from Reddit, G2, or Capterra specifically about Legit.Health were found; general reviews for these platforms or other health tech companies were present but not relevant to Legit.Health.

Based on reviews from: Legit.Health - AI-Powered Dermatology Clinical Decision Support, Legit.Health's artificial intelligence Deep Link API integration | Legit.Health - AI-Powered Dermatology Clinical Decision Support, A Closer Look at Dermatology Imaging: Legit.Health and Quantificare, Doctor Burnout: 6 Ways Legit.Health Helps Reduce It, Are Legit.Health's algorithms scientifically validated? | Legit.Health - AI-Powered Dermatology Clinical Decision Support, Scientific validation | Legit.Health - AI-Powered Dermatology Clinical Decision Support, About Legit.Health | Legit.Health - AI-Powered Dermatology Clinical Decision Support

Last updated: 2026-08-11

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Press & Coverage

QuantifiCare
QuantifiCare and Legit.Health Launch the First AI-Powered Dermatology Imaging Platform for Clinical Trials
QuantifiCare and Legit.Health have partnered to launch the first platform combining imaging and artificial intelligence for dermatology clinical trials, aiming to accelerate patient screening and improve data quality. This collaboration integrates Legit.Health's AI with QuantifiCare's imaging systems to streamline research and speed up the development of new dermatological therapies.
2025-09
Legit.Health Blog
Boehringer Ingelheim Selects Legit.Health to Improve Diagnosis of Rare Skin Disease
Legit.Health won Boehringer Ingelheim's 'Call for Startups' program, focusing on AI technology to accelerate the diagnosis of generalized pustular psoriasis, a rare and severe skin condition. This partnership aims to leverage AI to improve the identification of rare dermatological conditions, which are often underdiagnosed.
2023-11
Healthcare Packaging
Aptar Digital Health and Legit.Health Partner to Improve Patient Experience in Immuno-Dermatology
Aptar Digital Health and Legit.Health have announced a strategic partnership to integrate Legit.Health's AI technology into Aptar's digital health platform to enhance patient care and autonomy in immuno-dermatology. The collaboration aims to support earlier diagnosis and treatment initiation for approximately 300 skin conditions.
2023-12
Legit.Health Blog
Legit.Health Achieves ISO 13485 Certification: A Milestone in Quality and Safety
Legit.Health has officially earned ISO 13485 certification, a globally recognized standard for quality management systems in the medical devices industry. This achievement underscores the company's commitment to quality, safety, and adherence to international regulatory requirements.
2024-09
JMIR Dermatology
Enhanced Diagnosis of Generalized Pustular Psoriasis With the Legit.Health Device as a Diagnosis Support Tool: Multireader Multicase Study
A peer-reviewed study published in JMIR Dermatology evaluated Legit.Health's AI-based medical device in supporting healthcare practitioners to identify generalized pustular psoriasis (GPP), a rare and challenging condition. The study found that Legit.Health significantly enhanced primary care physicians' diagnostic accuracy for GPP.
2026-06
Skin Health and Disease (Oxford Academic)
Overcoming measurement challenges in clinical practice: a deep learning-based approach to monocular surface area measurement
This original article details a new deep learning-based methodology for monocular surface area measurement, integrated into the Legit.Health medical device. The approach aims to improve the accuracy and efficiency of lesion area measurement in dermatology, outperforming traditional methods.
2026-05
Legit.Health Blog
Legit.Health Joins DKV to Prevent Skin Cancer with AI
Legit.Health and health insurance company DKV have partnered to raise awareness about skin cancer prevention using AI. Their collaboration leverages Legit.Health's AI algorithms to support the assessment of skin lesions through smartphone images, aiding in early detection and monitoring.
2021-04
Legit.Health Blog
7 Ways of Accelerating Dermatology Clinical Trials with AI: Faster Database Lock with Superior Data Quality
This article outlines how Legit.Health's AI-powered platform can accelerate dermatology clinical trials by improving data quality, increasing inter-rater reliability, and streamlining workflows. The technology aims to provide regulatory-grade data and strengthen statistical power for submissions.
2026-08

Videos

Product demos, reviews, and walkthroughs for Legit.Health.

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Frequently Asked Questions

Legit.Health is an AI-powered clinical decision support tool for dermatology that can integrate into a physician's workflow through API integration, a standalone web app, or deep-link integration. It assists with diagnosis support, treatment supervision by automatically measuring patient response, and smart referrals, aiming to automate routine tasks and improve efficiency.
Legit.Health is a CE-marked medical device and is ISO 13485 compliant for the quality management of medical devices and software development. The platform also adheres to GDPR regulations, ensuring sensitive patient data is handled securely with end-to-end encryption and only necessary information is collected.
Legit.Health primarily focuses on AI-driven clinical decision support, automating severity scoring systems like PASI and SCORAD from images to enhance diagnostic accuracy and treatment monitoring for over 200 skin conditions. While other platforms may offer general teledermatology consultations, Legit.Health emphasizes objective, AI-powered analysis and data-driven insights.
Specific pricing for Legit.Health is not publicly disclosed, but digital health AI pricing models commonly include per-user, flat-fee, volume-based, or risk-based structures. Physicians would typically need to contact Legit.Health directly for a tailored quote, as pricing in healthcare AI can be complex and depends on integration and scale.
As a clinical decision support tool, Legit.Health's AI algorithms provide valuable information but are designed to assist, not replace, the physician's final diagnosis and decision-making. Its effectiveness relies on the quality of uploaded images, though the platform includes an Image Quality Check feature to help ensure sufficient clinical utility.
Yes, Legit.Health's software is supported by published clinical evidence from several Spanish hospitals, including the University Hospital of Torreju00f3n in Madrid. Its AI algorithms for specific scoring systems, such as ASCORAD for Atopic Dermatitis and APASI for Psoriasis, have been recognized and validated in scientific publications and systematic reviews.
Legit.Health offers a patient application that allows users to upload photos of their skin conditions and understand the clinical data generated, fostering greater engagement in their treatment. This improves communication by enabling patients to securely send accurate data to their doctors and visualize the progress of their affection.

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Suggest an Edit → | Last Verified: 2026-05-12 | First Added: 2026-05-12
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