Validation of a Deep Learning Model for Detecting Chest Pathologies from Digital Chest Radiographs.

Pranav Ajmera¹, Prashant Onkar², Sanjay Desai³, Richa Pant⁴, Jitesh Seth⁴, Tanveer Gupte⁴, Viraj Kulkarni⁴, Amit Kharat⁴, Nandini Passi⁵, Sanjay Khaladkar¹, V M Kulkarni¹

¹Dr. D.Y. Patil Hospital, D.Y. Patil University, Pune 411018, India.

²Lata Mangeshkar Hospital, Nagpur 440012, India.

³Deenanath Mangeshkar Hospital and Research Centre, Pune 411004, India.

⁴DeepTek Medical Imaging Pvt Ltd., Pune 411045, India.

⁵Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India.

PubMed PMC DOI PDF

Abstract

Purpose: Manual interpretation of chest radiographs is a challenging task and is prone to errors. An automated system capable of categorizing chest radiographs based on the pathologies identified could aid in the timely and efficient diagnosis of chest pathologies. Method: For this retrospective study, 4476 chest radiographs were collected between January and April 2021 from two tertiary care hosp…

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