Can ChatGPT ‘data mine’ patient reports for stroke registries?

ChatGPT-4 appears useful for extracting details from reports on thrombectomy procedures in stroke patients, a labor-intensive and error-prone task currently performed by human readers, according to a group in Germany. Such “data mining” by ChatGPT could provide an alternative to manual methods for building stroke registries, with the data being key to improving the quality of stroke care, noted lead author Nils Lehnen, MD, of University Hospital Bonn, and colleagues. “Procedural details of mechanical thrombectomy in patients with ischemic stroke are predictors of clinical outcome and are collected for prospective studies or national stroke registries,” the group wrote. The study was published April 16 in Radiology. Mechanical thrombectomy for acute ischemic stroke has become the standard of care for patients with large vessel occlusion. Medical staff collect standard details from reports on the procedures and input them in national or local stroke registries to develop benchmarks for best practices, for instance. OpenAI’s large language models ChatGPT-3.5 and ChatGPT-4 have shown promise in prior studies extracting data from CT or MRI neuroradiology reports, but have yet to be tested on reports of neurointerventional procedures, the authors wrote. To that end, Lehnen and colleagues collected a set of 100 reports from 100 patients who underwent thrombectomy procedures at their hospital in Bonn. They used 20 of the reports to fine-tune the LLMs to extract the ...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Digital X-Ray Interventional Artificial Intelligence Source Type: news