Psychology Today

Detecting Bias in Generative AI

The potential harm of bias in generative AI tools is largely due to widespread adoption by organizations and free or low-cost ...
Johns Hopkins Medicine

Machine Learning Model Improves Accuracy of Liquid Biopsy Results

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...
Neurology Advisor

Multimodal Deep Learning Model Improves CT-Based Alzheimer Disease Classification

A multimodal deep learning framework trained on paired CT and MRI data demonstrated improved diagnostic accuracy when classifying patients with Alzheimer disease, mild cognitive impairment, or normal ...
The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
The Lancet

Prediction of bone marrow fibrosis from complete blood count in myeloproliferative neoplasms (FIBOM-AI): a multicentre machine learning model development and validation study

pService d'anatomie et de cytologie pathologiques, CHU de Bordeaux, & Inserm, UMR1312, Bordeaux Institute of Oncology, Université de Bordeaux, Bordeaux, France qUniversité Grenoble Alpes, INSERM U1209 ...