diagnosticimaging.com10/05 22:48 UTC
The Reading Room Podcast: Current Perspectives, Challenges and Possibilities with AI in Breast Imaging, Part 2
In the second of a three-part podcast episode, Wendie Berg, Manisha Bahl and Amy Patel discuss how to handle disagreements with adjunctive AI in breast imaging. They also cover whether to include AI assessments in PACS and whether patients should pay for the use of adjunctive AI.
Read the original →bioengineer.org10/06 02:03 UTC
Physicists’ Reaction-Diffusion Equations Inspire Sharper AI for Skin Cancer Diagnosis
A new deep learning model embeds Turing-inspired reaction-diffusion mathematics and attention mechanisms into a ResNet50 backbone. It classifies dermoscopic images of melanoma and benign nevi.
Read the original →bioengineer.org10/05 23:49 UTC
AI Ensemble Reads Blood Smears With Near-Perfect Accuracy to Identify Malaria Parasites
Researchers in Ethiopia have built an interpretable deep learning ensemble that identifies malaria parasite species from thin blood smears. It is reported to reach near-perfect accuracy and provides transparent visual evidence.
Read the original →bioengineer.org10/05 11:01 UTC
AI Reads Ultrasound and MRI Together to Predict Breast Cancer Subtypes Without a Biopsy
A two-center Chinese study shows that a machine learning model can combine radiomics features from ultrasound and DCE MRI. The model can non-invasively distinguish luminal from non-luminal breast cancers.
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