We are thrilled to announce that Associate Professor Ir Dr Tee Yee Kai recent review paper, titled “Artificial Intelligence in Chemical Exchange Saturation Transfer Magnetic Resonance Imaging”, has been published in Artificial Intelligence Review, a top 5% journal in the field.

This comprehensive review explores the transformative role of Artificial Intelligence (AI) in advancing Chemical Exchange Saturation Transfer (CEST) Magnetic Resonance Imaging (MRI), a cutting-edge imaging method for non-invasive biochemical mapping. We delve into AI’s impact on various stages of the CEST MRI pipeline, including accelerated imaging acquisition, improved pre-processing and denoising methods, and advanced quantification techniques. Furthermore, we discuss AI’s potential in clinical applications such as disease diagnosis, molecular subtyping, and treatment monitoring.

This work reflects our commitment to advancing the field and contributing to the integration of AI in medical imaging.

Read the full paper here: https://doi.org/10.1007/s10462-025-11227-5