Computer Vision for Increased Operative Efficiency via Identification of Instruments in the Neurosurgical Operating Room: A Proof-of-Concept Study

no code implementations • 3 Dec 2023 • Tanner J. Zachem, Sully F. Chen, Vishal Venkatraman, David AW Sykes, Ravi Prakash, Koumani W. Ntowe, Mikhail A. Bethell, Samantha Spellicy, Alexander D Suarez, Weston Ross, Patrick J. Codd

Such technology has the potential to be used as a method to be used for proving what tools are truly needed in each type of operation allowing surgeons across the world to do more with less.

Learned Kernels for Sparse, Interpretable, and Efficient Medical Time Series Processing

1 code implementation • 6 Jul 2023 • Sully F. Chen, Zhicheng Guo, Cheng Ding, Xiao Hu, Cynthia Rudin

Results: Our interpretable method achieves greater than 99% of the performance of the state-of-the-art methods on the PPG artifact detection task, and even outperforms the state-of-the-art on a challenging out-of-distribution test set, while using dramatically fewer parameters (2% of the parameters of Segade, and about half of the parameters of Tiny-PPG).

Artifact Detection Atrial Fibrillation Detection +2