Artificial intelligence-based pulmonary embolism classification: Development and validation using real-world data.

Autor: Silva LOD; Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, Brazil.; Institute of Informatics (INF), Federal University of Goias, Goiania, Brazil., Silva MCBD; Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, Brazil., Ribeiro GAS; Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, Brazil., Camargo TFO; Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, Brazil.; Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania, Brazil., Santos PVD; Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, Brazil.; Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania, Brazil., Mendes GS; Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, Brazil., Paiva JPQ; Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, Brazil., Soares ADS; Institute of Informatics (INF), Federal University of Goias, Goiania, Brazil., Reis MRDC; Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, Brazil.; Technology Research and Development Center (GCITE), Federal Institute of Goias, Goias, Brazil., Loureiro RM; Department of Radiology, Hospital Israelita Albert Einstein, Sao Paulo, Brazil., Calixto WP; Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania, Brazil.; Technology Research and Development Center (GCITE), Federal Institute of Goias, Goias, Brazil.

Publikováno v: PloS one [PLoS One] 2024 Aug 21; Vol. 19 (8), pp. e0305839. Date of Electronic Publication: 2024 Aug 21 (Print Publication: 2024).