Many AI models fail to recognise negation words such as “no” and “not”, which means they can’t easily distinguish between medical images labelled as showing a disease and images labelled ...

In this study, a robust automated system for TB detection from chest X-ray images using deep learning techniques is developed. The dataset, sourced from Kaggle, comprises 4200 images divided into two ...

Unique dataset explores how brains store and retrieve memories by Olivia Dimmer, Northwestern University Editors' notes ...

Enterprise developers will soon to be able to access a sample of images from Getty Images via the Hugging Face hub.

With the open dataset, Getty Images wants to address enterprises’ ML training woes and position itself as a credible data partner.

Study reveals why AI models that analyze medical images can be biased These models, which can predict a patient's race, gender, and age, seem to use those traits as shortcuts when making medical ...

Artificial intelligence in medical imaging is taking off. Experts share what they see as the promise — and potential pitfalls — of AI technology.

Curating a new dataset and asking AI questions about X-rays, MRIs and CT scans, researchers discovered “alarming” drops in performance.

Taking a step in this direction, MIT researchers developed an image dataset that allows them to simulate peripheral vision in machine learning models.

Medical diagnostics expert, doctor's assistant, and cartographer are all fair titles for an artificial intelligence model developed by researchers at the Beckman Institute for Advanced Science and ...