Scalable deep learning algorithm to compute percent pulmonary contusion among patients with rib fractures
CONCLUSION
We developed a scalable deep learning algorithm to automate percent pulmonary contusion calculating using chest computed tomography scans of adults admitted with rib fractures. Open code sharing and collaborative research are needed to validate our algorithm and exploratory analysis at a large scale. Transfer learning can help harness the full potential of big data and high-performing algorithms to bring precision medicine to the bedside.
LEVEL OF EVIDENCE
Prognostic and epidemiological, Level III.
Source: Journal of Trauma and Acute Care Surgery - Category: Surgery Tags: 2022 EAST QUICK SHOT Source Type: research
More News: CT Scan | Epidemiology | Learning | PET Scan | Study | Surgery | Universities & Medical Training