Automated Extraction of Physical Examination Interactions in General Practice Consultations: A Multi-Modal Using Images and Text Base Approaches.

Automated Extraction of Physical Examination Interactions in General Practice Consultations: A Multi-Modal Using Images and Text Base Approaches.

Publication date: Sep 24, 2024

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.

Concepts Keywords
Base COVID-19
Covid General Practice
Examinations GP-patient conversation
Pandemic Humans
Teleconsultation Natural Language Processing
Pandemics
Physical Examination
physical examination
regular expression
Remote Consultation
SARS-CoV-2
teleconsultation
transfer learning

Semantics

Type Source Name
drug DRUGBANK Sulpiride
disease MESH COVID-19 pandemic

Original Article

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