Skin Analytics

Skin Analytics

Skin Analytics utilizes AI technology to improve skin cancer diagnostics and enhance patient pathways in dermatology.

Location: United Kingdom
Software Type: Web App

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Description

Skin Analytics is dedicated to revolutionizing dermatological assessments through its AI-powered system, DERM (Deep Ensemble for the Recognition of Malignancy). This innovative AI as a Medical Device (AIaMD) is designed to assist healthcare providers, particularly within the NHS, by enhancing the triaging process for patients with skin lesions. The application of AI allows for the effective identification of benign cases while prioritizing those that may be malignant, thereby addressing the pressing issue of long wait times and limited access to dermatological care.

The DERM system has demonstrated impressive accuracy, correctly identifying 97% of skin cancers and 75% of benign lesions. By leveraging advanced machine learning algorithms, it analyzes dermoscopic images to facilitate timely and accurate assessments. This capability is particularly vital in the context of the UK's increasing demand for dermatology services, where a shortage of specialists has led to growing patient waitlists.

The management team at Skin Analytics brings together experts from diverse fields, including AI, technology, and healthcare. Their collective goal is to create sustainable pathways for skin cancer detection and care, ensuring that individuals receive the proper attention they require. As of Q2 2024, DERM has assessed over 120,000 NHS patients, showcasing its effectiveness in streamlining dermatological services and improving patient outcomes.

For more information, explore their AI for Dermatology and NHS Case Studies sections. Additionally, insights from their Webinar: Demystifying AI in Dermatology delve into the practical applications of this technology in clinical settings.

Features

AI-Driven Triaging

The DERM system accelerates the triaging process by efficiently analyzing skin lesion images to identify benign and potentially malignant cases.

High Detection Accuracy

DERM achieves a detection rate of 97% for skin cancers and 75% for benign lesions, enhancing reliability in dermatological assessments.

Integration with NHS Services

Skin Analytics collaborates closely with NHS dermatology teams, allowing for the seamless integration of AI technology into existing healthcare workflows.

Reduced Patient Wait Times

By automating the initial assessment of skin conditions, DERM helps to lessen the burden on dermatologists, leading to quicker diagnosis and treatment for patients.

Sustainable Healthcare Pathways

The organization focuses on creating sustainable pathways for skin cancer detection, ensuring efficient use of resources within healthcare systems.

Tags

AIhealthcaredermatologyskin cancermachine learningmedical device

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