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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Automated Extraction of Physical Examination Interactions in General Practice Consultations: A Multi-Modal Using
Moomna Waheed1, Hao Xiong1, Annie Y S Lau1
1Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
Abstract:
Teleconsultation, which proliferated during the COVID-19 pandemic, is projected to keep evolving in primary care; however, virtual physical examinations continue to hinder telehealth development. This study aimed to automatically recognise physical examinations performed during in-person GP consultations by text and image-based recognition. Text-based methods used regular expressions on transcript keywords to identify physical examinations, while image-based methods utilised transfer learning (fine-tuning the Resnet-18 model) to detect physical examination interactions.
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