News and reflections from the world of AI

Introduction to artificial neural networks part 2

How do neural networks learn? In our previous article we covered the basics of artificial neural networks (ANNs), how they process data, and what convolutional neural networks (CNNs) are. 

Aiforia Create feature: Transfer Learning

Adjust your AI model with speed and ease  Transfer learning enables you to use an already existing AI model and its annotation for a new image analysis task that has similar image data or a similar ground truth.

Aiforia Create feature: External Validation Tools

Remote collaboration with just the click of a button Our tools for external validation give the end user an easy interface to define validation sets and for collecting validation annotations. The tools also provide a convenient way to invite colleagues or consultants to give blinded scoring or diagnosis according to intended use criteria.

Lundbeck case study: quantitative assessment with AI

Quantitative assessment of alpha-synuclein pathology with AI Parkinson’s disease (PD) is the second most common neurodegenerative disorder after Alzheimer’s. PD affects around 10 million people worldwide. α-synuclein is a neuronal protein that is linked genetically and neuropathologically to PD.

Placental tissue case study: enhancing reproductive disease research with AI

Interview with Satu Wedenoja MD, PhD Specialist in Obstetrics and Gynecology at Helsinki University Hospital Why did you decide to use the Aiforia software?

Aiforia Create feature: Image Match

Taking image analysis to new dimensions Image Match, a tool available to all Aiforia users through Aiforia Create, enables the efficient and easy evaluation of serial sample sections. It permits a completely new methodology for image analysis by combining tissue registration and overlay with our AI model analysis and advanced spatial metrics. Image Match fully automates the technically difficult ...