Semiautomated breast ultrasound report generation using multimodal large language models and deep learning.
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| Title: | Semiautomated breast ultrasound report generation using multimodal large language models and deep learning. |
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| Authors: | Azhar K; AI Laboratory, HealthHub Co., Ltd., Seoul, Republic of Korea., Lee BD; Division of AI and Computer Engineering, Kyonggi University, Suwon, Kyonggi-do, Republic of Korea., Byon SS; AI Laboratory, HealthHub Co., Ltd., Seoul, Republic of Korea., Lee S; Dnotitia Inc., Seoul, Republic of Korea., Cho KR; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea., Song SE; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea. |
| Source: | Frontiers in medicine [Front Med (Lausanne)] 2026 Jan 21; Vol. 13, pp. 1679203. Date of Electronic Publication: 2026 Jan 21 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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