Addressing Dermatologists Shortage & Easing Appointment Wait
Consensus among experts confirms a glaring shortage of dermatologists, resulting in extended patient wait times, strained medical professionals, untreated ailments, and potential patients resorting to seeking treatment in distant cities. Given the gravity of this predicament, it becomes imperative for healthcare stakeholders to address two pivotal inquiries: What are the underlying causes of this challenge, […]
22.04.21
Guide to Benign Moles (Neoplasms): Types, Symptoms and Diagnosis
Moles, or neoplasms, are common skin growths that can appear in various shapes and sizes. While some moles may raise concerns, most are harmless and considered benign. In this article, we will explore the main types of safe moles, including Benign Nevus, Papilloma Nevus, Acral Nevus, Halo Nevus, Spitz Nevus, Dermatofibroma, Hemangioma, and Pyogenic Granuloma. […]
11.02.21
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
