Deep-Learning Natural Language Processing Tool Identifies Imaging Findings to Reduce Risk of Delayed Care
Artificial intelligence (AI) reads through imaging reports to alert physicians about findings that need follow-up.
Each year, thousands of imaging reports are generated at hospitals. While primary results address the issue at hand, a full report can contain other significant yet unexpected findings. But without a process for identifying and communicating these findings, patients could be at risk for delayed or missed treatment.
In 2020, Northwestern Medicine set out to develop a solution to this nationwide healthcare issue, using AI to identify imaging reports with lung- and adrenal-related findings.