Skin Health AI Screening in Web-Widget Available On Websites!
The world of skincare and dermatology has witnessed a remarkable transformation in recent years, thanks to advancements in artificial intelligence and machine learning. As technology continues to revolutionize healthcare, Skinive, a pioneering AI-driven skin health analysis platform, has introduced an innovative solution to bring skin health screening directly to websites – the Skin Health AI […]
31.12.20
Delivering quality: CE-mark and ISO 13485 certificate
We are proud to announce that Skinive software received ISO-13485 Quality Management System (QMS *) Certificate (integrated with IEC 62304 and ISO 14971) for medical devices and software in December 2020. Safety and quality are non-negotiable in medical devices, which is why our company’s management system is ISO 13485 certified. ISO 13485 standard is the progressive […]
11.12.20
Precancerous moles (Neoplasms): Guide to Skin Anomalies
In a world where skincare is of paramount importance, understanding various skin conditions is essential for maintaining your skin’s health. One category of skin anomalies that requires careful attention is precancerous moles. These borderline growths can potentially transform into cancerous lesions if left untreated. In this article, we’ll delve into the main types of precancerous […]
11.09.20
Analysis of Skinive algorithm’s accuracy for risk assessment of skin conditions, based on machine learning algorithms in 2020
Note: This is not the current version of the report! Skinive improved the accuracy of the neural network in 2021 and published the data. The latest version of the report is available at the link – https://skinive.com/skinive-accuracy2021/ Table of contents – ABSTRACT1. INTRODUCTION2. SKINIVE ALGORITHM TO ANALYZE THE SKIN LESION IMAGES2.1 Nosologies & Classes2.2 Neural network […]
22.06.20
Guide to Skin Cancer: Types, Symptoms and Diagnosis
Skin cancer is a pressing global health issue, affecting millions of people worldwide. Recognizing the main types of skin cancer, including Squamous Cell Carcinoma (SCC), Basal Cell Carcinoma (BCC), Melanoma, and Lentigo Melanoma, is crucial for early detection and effective treatment. In this comprehensive guide, we will explore these diseases in detail, covering their general […]
02.05.20
How does AI in dermatology helps doctors in their practice?
Artificial intelligence has been used in health care and dermatology for many years: to analyze medical images (X-rays, MRI, CT, etc.), to create expert systems and virtual medical assistants. But however impressive it may be, AI cannot replace human experience. Ultimately, it is the doctor who determines the next steps. Artificial intelligence is a virtual […]
11.04.20
