Digital Pathology is a new data source to transform medicine Medscape – Oct 15, 2014. This was the hook line of a 2014 article in Medscape we stumbled across the other day. Ten years later...
Archive - January 2024
Grit NickelFast and Furious? — Assessing Cognitive Load in Autonomous Driving
Not only does the future of mobility look autonomous: the present already is. Features like adaptive cruise control and lane centering support drivers and reduce required interactions with the vehicle, thereby...
Digital Pathology AI Companies — List of Commercial AIs (CE-IVDR, FDA, RUO)
2022 and 2023 have been breakthrough years for AI in digital pathology. Many new startups, backed by lots of venture capital, as well as established vendors have released AIs cleared for clinical routine. As of today...
Volker BrunsWearables in Clinical Trials: What to Bear in Mind
Wearables, i.e. portable electronic devices such as smartwatches, fitness bracelets and smart clothing, enable the continuous and non-invasive collection of various physiological parameters. These devices capture heart...
Yvonne NeßAnnotation Concepts in MIKAIA for Whole-Slide-Images
The first step to creating a supervised Digital Pathology AI is to annotate whole-slide-images. MIKAIA uses various annotation concepts. Working with MIKAIA is easier when these annotation concepts are known and...
