Papers by Akshay Chaudhari
GREEN: Generative Radiology Report Evaluation and Error Notation (2024.findings-emnlp)
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Sophie Ostmeier, Justin Xu, Zhihong Chen, Maya Varma, Louis Blankemeier, Christian Bluethgen, Arne Md, Michael Moseley, Curtis Langlotz, Akshay Chaudhari, Jean-Benoit Delbrouck
| Challenge: | Existing automated evaluation metrics fail to consider factual correctness or are limited in their interpretability. |
| Approach: | They propose a radiology report evaluation metric that leverages natural language understanding of language models to identify and explain clinically significant errors. |
| Outcome: | The proposed method demonstrates higher correlation with expert error counts and higher alignment with expert preferences when compared to previous methods. |
Efficient Diagnosis Assignment Using Unstructured Clinical Notes (2023.acl-short)
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| Challenge: | Electronic phenotyping entails using electronic health records (EHRs) to identify patients with specific clinical outcomes and determine when those outcomes occurred. |
| Approach: | They propose a framework for electronic phenotyping that integrates labeling functions and a disease-agnostic neural network to assign diagnoses to patients. |
| Outcome: | The proposed framework disambiguates hypertension true positives and false positives with a supervised area under the precision-recall curve (AUPRC) of 0.85. |
ViLMedic: a framework for research at the intersection of vision and language in medical AI (2022.acl-demo)
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Jean-benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre Chambon, Jared Dunnmon, Juan Zambrano, Akshay Chaudhari, Curtis Langlotz
| Challenge: | Multimodal medical AI is a growing field of interest, especially for tasks that involve multimodal data. |
| Approach: | They propose a vision-and-language medical library to improve multimodal medical predictions and enable new applications. |
| Outcome: | The vision-and-language medical library aims to improve reproducibility and speed up progress across medical AI . it contains a dozen implementations replicating state-of-the-art results on medical datasets . the library is extensible by researchers but also simple for practitioners . |