Researchers from Northwestern University and Emory University have been developing AI models and datasets to aid in the screening and treatment of breast cancer. The models aim to improve mammographic image quality, predict breast cancer risk, and suggest better treatment plans for patients. The datasets include over 3.4 million mammographic images and focus on equitable AI development for breast cancer screening. The use of artificial intelligence and convolutional neural networks is being explored for the management of melanoma from clinical, pathological, and radiological perspectives. External evaluations of deep learning models for predicting breast cancer in diverse populations are also being conducted.
External Evaluation of a Mammography-based Deep Learning Model for Predicting Breast Cancer in an Ethnically Diverse Population https://t.co/SAWHPDPUnK @epibiohuo @DSI_UChicago @UCCancerCenter #cancer #mammography #AI https://t.co/re6ylh25bU
Can #AI software help improve mammographic image quality? https://t.co/kZVkFHTvSu @VMFHealth #BreastCancer #ML #MachineLearning https://t.co/wxUcLhWiZo
This paper by Dr. @judywawira and team describes the Emory Breast Imaging Dataset (EMBED), a diverse, granular dataset of over 3.4 million mammographic images, aiding in equitable AI development for breast cancer screening. https://t.co/f5fWwYHiKT
Expert commentary on #AI for breast cancer risk assessment https://t.co/Kxff2Dlnt5 @DespinaKontos @kalpathy1 #mammo #mammography #ML https://t.co/ooE7b1NuNA
AI model developed by Northwestern researchers could suggest better treatment plans for breast cancer patients. @AlysaGuffeyNews has jore https://t.co/yFYpANnIv7
External testing of a #DeepLearning model for breast cancer risk prediction in a high-risk, case-control population https://t.co/SAWHPDPUnK @foozlefoo @uchicago @UCCancerCenter #BreastCancer #cancer #mammography https://t.co/DQ0l4kIwb1
The role of #ArtificialIntelligence and convolutional neural networks in the management of melanoma: a clinical, pathological, and radiological perspective https://t.co/aNjkM7t8iO @_GenerativeAI #ArtificialIntelligence