Targeted PET/CT predicts early treatment response in rheumatoid arthritis patients

A new targeted PET/CT tracer can detect treatment response in rheumatoid arthritis patients in as little as four weeks, and ...
Post Bulletin

Mayo Clinic Q&A: What do I need to know about lung cancer?

As a nonsmoker lung cancer hasn't been a concern of mine, but I recently heard it can affect people who have never smoked. If ...
Journal of Nuclear Medicine

Clinical Correlation No Longer Required: An LLM Practical Use Scenario in PET Reporting

Incidental findings from PET are common, induce unnecessary patient anxiety, and incur substantial costs to the health care system, with further diagnostic clarification potentially delaying important ...
EurekAlert!

Enhanced pulmonary nodule detection and classification using artificial intelligence on LIDC-IDRI data

The proposed CNN-based system demonstrates the feasibility and robustness of deep learning for automatic lung nodule detection and classification. Despite strong results, the study acknowledges ...
Healio

FDA clears lung nodule risk assessment software powered by AI

Please provide your email address to receive an email when new articles are posted on . The main element of RevealAI-Lung is the Malignancy Similarity Index (mSI) score. In a study population of 1,530 ...
IEEE

MEAA-Net: Memory-Efficient Asymmetric Attention for Resource-Constrained Lung Nodule Classification

Abstract: Early detection and classification of lung nodules is critical for improving lung cancer prognosis, yet existing deep learning models often exceed the memory budgets of typical clinical ...
IEEE

OMS-CNN: Optimized Multi-Scale CNN for Lung Nodule Detection Based on Faster R-CNN

Abstract: The global increase in lung cancer cases, often marked by pulmonary nodules, underscores the critical importance of timely detection to mitigate cancer progression and reduce morbidity and ...