Researchers in India report a hybrid dual-attention pyramidal deep learning model that detects liver tumors on CT scans with 96.52 percent accuracy, outperforming existing methods.
Adding MRI to CT may improve the accuracy of detecting nonviable disappearing liver metastases than CT alone among patients with initially unresectable colorectal liver metastases. However, confirmed ...
A preclinical study found that the Percival AI model detected disease signals in CT scans and flagged several conditions more ...
Kristie Kahl of CURE spoke with Nicole Wright Dirks, a volunteer with Blue Faery, a patient advocacy organization focused on liver cancer. At the 2026 ASCO Annual Meeting, Kristie Kahl of CURE spoke ...
Katie covers the impact of health technology on patients, clinicians, and businesses. Her stories explore the price tag of clinical AI, digital health at the FDA, and the boom in direct-to-consumer ...
When analyzed by a new artificial intelligence model developed at Penn Medicine, CT scans reveal much about a patient's health beyond the specific condition they were originally ordered for, according ...
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