Artificial intelligence-enhanced handheld breast ultrasound for screening: A systematic review of diagnostic test accuracy.
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| Title: | Artificial intelligence-enhanced handheld breast ultrasound for screening: A systematic review of diagnostic test accuracy. |
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| Authors: | Bunnell A; Department of Information and Computer Sciences, University of Hawai'i at Mānoa, Honolulu, Hawai'i, United States of America.; University of Hawai'i Cancer Center, Honolulu, Hawai'i, United States of America., Valdez D; University of Hawai'i Cancer Center, Honolulu, Hawai'i, United States of America., Strand F; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.; Breast Radiology Unit, Medical Diagnostics Karolinska, Karolinska University Hospital, Stockholm, Sweden., Glaser Y; Department of Information and Computer Sciences, University of Hawai'i at Mānoa, Honolulu, Hawai'i, United States of America., Sadowski P; Department of Information and Computer Sciences, University of Hawai'i at Mānoa, Honolulu, Hawai'i, United States of America., Shepherd JA; University of Hawai'i Cancer Center, Honolulu, Hawai'i, United States of America. |
| Source: | PLOS digital health [PLOS Digit Health] 2025 Sep 22; Vol. 4 (9), pp. e0001019. Date of Electronic Publication: 2025 Sep 22 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: PLOS Country of Publication: United States NLM ID: 9918335064206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2767-3170 (Electronic) Linking ISSN: 27673170 NLM ISO Abbreviation: PLOS Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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