Sam Adida
Senior Research Lead
About
Sam Adida grew up in Los Angeles, CA and attended Carnegie Mellon University. At Carnegie Mellon University, he pursued a bachelor’s and master’s degrees in chemistry, and was also a student-athlete on the men’s soccer team. After graduation, he worked at a small pharmaceutical startup as a researcher for one year here in Pittsburgh. He is currently a second-year medical student at the University of Pittsburgh School of Medicine. His research interests include clinical and translational spine surgery research, centered around machine learning and augmented reality. In his free time, he enjoys all types of exercise, cheering on Los Angeles sports teams, and spending time with friends and family.
Publications
Machine Learning in Spine Surgery: A Narrative Review
Sam Adida, Andrew Legarreta, , David McCarthy, Edward Andrews, Regan Shanahan, , , , , ,
Neurosurgery, 2024
[Article]
Machine Learning Analysis of CT Scans to Determine Vertebral Hounsfield Units Can Assess Osteoporosis as well as DEXA
Akshay Sankar, Michael Kann, Sam Adida, Jhair Colan, Shovan Bhatia, , Regan Shanahan, Nicolás Kass, Nikhil Sharma, Griffin Hurt, , , Jacob Biehl, David McCarthy, Edward Andrews, Andrew Legarreta
Congress of Neurological Surgeons 2024 Annual Meeting, 2024
Machine Learning Analysis of CT Scans Predicts Vertebral Compression Fractures
Sam Adida, Michael Kann, Akshay Sankar, Jhair Colan, Shovan Bhatia, , , Regan Shanahan, Nicolás Kass, Nikhil Sharma, David McCarthy, Andrew Legarreta, , Peter Gerszten, Jacob Biehl, Edward Andrews
Congress of Neurological Surgeons 2024 Annual Meeting, 2024
Posters
Machine Learning-Derived Hounsfield Units from Preoperative CT Better Predicts Subsequent Adjacent-Level Fractures After Kyphoplasty Than DEXA Scans
Michael Kann, Sam Adida, Akshay Sankar, Jhair Colan, Shovan Bhatia, , , Regan Shanahan, Nicolás Kass, Nikhil Sharma, Griffin Hurt, David McCarthy, Andrew Legarreta, , Jacob Biehl, Edward Andrews, Peter Gerszten
Congress of Neurological Surgeons 2024 Annual Meeting, 2024
The Applications of Machine Learning Based Automated Segmentation to Spinal CT Scans
Michael Kann, Akshay Sankar, Jhair Colan, Sam Adida, Nicolás Kass, Shovan Bhatia, Regan Shanahan, , Griffin Hurt, Nikhil Sharma, , , David McCarthy, Andrew Legarreta, Jacob Biehl, Edward Andrews
Congress of Neurological Surgeons 2024 Annual Meeting, 2024