Desmond Lim

Radiology Resident, NUH, Singapore [email protected]

[Jim Thomas @JimTPDHallinan]

Deep learning for early detection of metastatic cord compression on staging CT. We need to help body radiologists pick up these lesions. Many thanks to all my coauthors including @AndrewMakmur, @DesmondLimSW

[Desmond Lim @DesmondLimSW]

ECR 2022 - oral presentation for the Automated Bilsky Grading of epidural spinal cord compression on thoracic spine MRI with deep learning.

#ecr2022 #ECR #ECR2022vienna

[Benjamin Tan @DrBenjaminTan]

Strongest evidence yet that we should really look into systems like night float to ensure safety for both our patients and junior doctors.

[Desmond Lim @DesmondLimSW]

Fresh off the press:
Can AI reduce the “pain” of reporting MRI Lumbar Spines?

Improved Productivity Using Deep Learning–assisted Reporting for Lumbar Spine MRI

Great working with @JimTPDHallinan and @AndrewMakmur

https://t.co/Ea43tZ15Za

[Curt Langlotz @curtlanglotz]

This is the way: "DL-assisted rads had a lower interpretation time vs unassisted rads (mean 47–71 sec vs. 124–274 sec per study), with superior or equivalent agreement."

Improved Productivity Using Deep Learning–assisted Reporting for L-Spine MRI https://t.co/3HwD3NhwcN

[Desmond Lim @DesmondLimSW]

@curtlanglotz Thanks for sharing our research! @JimTPDHallinan @AndrewMakmur