首页|Huizhou Central People’s Hospital Reports Findings in Artificial Intelligence (A rtificial intelligence software for assessing brain ischemic penumbra/core infar ction on computed tomography perfusion: A real-world accuracy study)

Huizhou Central People’s Hospital Reports Findings in Artificial Intelligence (A rtificial intelligence software for assessing brain ischemic penumbra/core infar ction on computed tomography perfusion: A real-world accuracy study)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Huizh ou, People’s Republic of China, by NewsRx correspondents, research stated, “With the increasingly extensive application of artificial intelligence (AI) in medic al systems, the accuracy of AI in medical diagnosis in the real world deserves a ttention and objective evaluation. To investigate the accuracy of AI diagnostic software (Shukun) in assessing ischemic penumbra/core infarction in acute ischem ic stroke patients due to large vessel occlusion.” Our news editors obtained a quote from the research from Huizhou Central People’ s Hospital, “From November 2021 to March 2022, consecutive acute stroke patients with large vessel occlusion who underwent mechanical thrombectomy (MT) post-Shu kun AI penumbra assessment were included. Computed tomography angiography (CTA) and perfusion exams were analyzed by AI, reviewed by senior neurointerventional experts. In the case of divergences among the three experts, discussions were he ld to reach a final conclusion. When the results of AI were inconsistent with th e neurointerventional experts’ diagnosis, the diagnosis by AI was considered ina ccurate. A total of 22 patients were included in the study. The vascular recanal ization rate was 90.9%, and 63.6% of patients had mod ified Rankin scale scores of 0-2 at the 3-month follow-up. The computed tomograp hy (CT) perfusion diagnosis by Shukun (AI) was confirmed to be invalid in 3 pati ents (inaccuracy rate: 13.6%). AI (Shukun) has limits in assessing ischemic penumbra.”

HuizhouPeople’s Republic of ChinaAsi aArtificial IntelligenceComputed TomographyEmerging TechnologiesImaging TechnologyMachine LearningSoftwareTechnology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Sep.19)