Description of use

ChestView US analyzes frontal and lateral chest radiographs of patients presenting with symptoms (dyspnea, cough, pain) or suspected findings using machine learning techniques to identify regions of interest in lungs, airways, mediastinum/hila, and pleural space. It addresses the challenge of missed findings and urgent pathologies in chest imaging by producing labeled boxes around nodules, pleural space abnormalities, mediastinum/hila abnormalities, and consolidation.

The solution should be used as concurrent reading support during interpretation of chest X-rays for symptomatic adult patients, helping radiologists improve detection sensitivity for urgent findings and potential tumor indicators across emergency, inpatient, and outpatient settings.

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