Current Projects

This departmental project aims to create interactive branched chain learning modules tailored for various subspecialties, promoting active learning and critical thinking among residents. 

Principal Investigator: Dr. Daniel Walsh.

This departmental project seeks to establish a milestone-based curriculum to educate senior residents on the appropriate use and techniques of rescue ultrasound.  

Principal Investigator: Dr. Ruma Bose.

This departmental initiative uses virtual reality technology to provide objective feedback on clinicians' performance in invasive procedures. It also explores the feasibility of faculty using virtual reality to practice and maintain their clinical skills.

Principal Investigator: Dr. Robina Matyal.

This department project is dedicated to developing a curriculum that utilizes virtual reality to train anesthesia residents in performing invasive clinical procedures effectively. 

Principal Investigator: Dr. Shiri Savir.

This department project aims to assess the institutional return on investment for implementing a 3D modular airway model in fiberoptic intubation training, enhancing the educational experience. 

Principal Investigator: Dr. Haobo Ma.

This departmental initiative focuses on enhancing residents' pre-clinical proficiency in invasive procedures. It aims to enhance exposure and proficiency before entering clinical practice, addressing the lifelong need for anesthesiologists to perform such procedures. 

Principal Investigator: Dr. Aidan Sharkey.

This non-inferiority departmental study compares the efficacy of transcutaneous laryngeal ultrasonography (TLUS) against the gold standard of indirect flexible laryngoscopy (IFL) for diagnosing vocal cord abnormalities. The diagnostic gold standard, IFL, for vocal fold abnormalities is invasive and uncomfortable for patients. By introducing a non-invasive alternative, this project aims to revolutionize patient screening. Additionally, the educational component includes training Ear, Nose, and Throat residents in TLUS techniques. 

Principal Investigator: Dr. Akiva Leibowitz.