Good News: Transducer-Adaptive Denoising for Ultrasound Imaging Accepted by IEEE TAI

We are pleased to share major news from the Intelligent Medical Computing Laboratory at Macao Polytechnic University: our paper A Transducer-adaptive Denoising Model for Medical Ultrasound Imaging has been accepted by IEEE Transactions on Artificial Intelligence (Impact Score = 6.4). IEEE TAI is a leading venue focusing on frontier AI theory and cross-disciplinary innovation, and this acceptance reflects strong recognition of the work’s innovation, practicality, and academic value.

Medical ultrasound imaging is widely used in clinical diagnosis but is susceptible to noise. Noise not only blurs lesion details, it may also affect diagnostic accuracy.

To address this challenge, we propose a transducer-adaptive denoising model that adapts to the hardware characteristics of different ultrasound transducers. The model precisely suppresses imaging noise while preserving fine structural details of lesions, providing clearer and more reliable images to support clinical ultrasound diagnosis.

The Intelligent Medical Computing Laboratory has long been committed to the intersection of medical AI, conducting systematic research on key topics such as medical image processing and intelligent diagnostic models, with the core mission of empowering clinical practice using AI technologies.

This achievement marks an important breakthrough in AI-assisted ultrasound imaging and another milestone in translating “AI + Medicine” into real-world clinical applications. Looking ahead, we will continue to deepen the integration of AI and clinical needs and deliver more innovations with both academic value and clinical significance.