日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Impact of Label Noise from Large Language Model-generated Annotations on Evaluation of Diagnostic Model Performance

大型语言模型生成的标注中的标签噪声对诊断模型性能评估的影响

Chavoshi, Mohammadreza; Trivedi, Hari; Mansuri, Aawez; Newsome, Janice; Sanyika, Chiratidzo Rudado; Isaac, Rohan Satya; Li, Frank; Dapamede, Theo; Gichoya, Judy Wawira

Role of Model Size and Prompting Strategies in Extracting Labels from Free-Text Radiology Reports with Open-Source Large Language Models

模型规模和提示策略在利用开源大型语言模型从自由文本放射学报告中提取标签中的作用

Khosravi, Bardia; Dapamede, Theo; Li, Frank; Chisango, Zvipo; Bikmal, Anirudh; Garg, Sara; Owosela, Babajide; Khosravi, Amirali; Chavoshi, Mohammadreza; Trivedi, Hari M; Wyles, Cody C; Purkayastha, Saptarshi; Erickson, Bradley J; Gichoya, Judy W

Real-world performance evaluation of a commercial deep learning model for intracranial hemorrhage detection

对用于颅内出血检测的商业深度学习模型进行实际性能评估

Chavoshi, Mohammadreza; Mansuri, Aawez; Bala, Wasif; Brown-Mulry, Beatrice; Dapamede, Theodorus; Isaac, Rohan; Khosravi, Bardia; Li, Hanzhou; Li, Frank; Moon, John T; Robichaux, Chad; Cohen-Addad, Dan I G; Salastekar, Ninad V; Gichoya, Judy W; Trivedi, Hari

DICOM LUT is a Key Step in Medical Image Preprocessing Towards AI Generalizability

DICOM LUT 是医学图像预处理中实现人工智能泛化能力的关键步骤

Dapamede, Theo; Li, Frank; Khosravi, Bardia; Purkayastha, Saptarshi; Trivedi, Hari; Gichoya, Judy

Synthetically enhanced: unveiling synthetic data's potential in medical imaging research

合成增强:揭示合成数据在医学影像研究中的潜力

Khosravi, Bardia; Li, Frank; Dapamede, Theo; Rouzrokh, Pouria; Gamble, Cooper U; Trivedi, Hari M; Wyles, Cody C; Sellergren, Andrew B; Purkayastha, Saptarshi; Erickson, Bradley J; Gichoya, Judy W