Accuracy of digital chest x-ray analysis with artificial intelligence software as a triage and screening tool in hospitalized patients being evaluated for tuberculosis in Lima, Peru.
Amanda M BiewerChristine TzeliosKaren TintayaBetsabe RomanShelley HurwitzCourtney YuenCarole D MitnickEdward NardellLeonid LeccaDylan B TierneyRuvandhi R NathavitharanaPublished in: medRxiv : the preprint server for health sciences (2023)
qXR had high sensitivity but low specificity as a triage in hospitalized patients with cough or TB risk factors. Screening patients without cough in this setting had a low diagnostic yield. These findings further support the need for population and setting-specific thresholds for CAD programs.
Keyphrases
- artificial intelligence
- emergency department
- risk factors
- machine learning
- end stage renal disease
- mycobacterium tuberculosis
- ejection fraction
- big data
- deep learning
- newly diagnosed
- public health
- coronary artery disease
- prognostic factors
- high resolution
- peritoneal dialysis
- magnetic resonance imaging
- magnetic resonance
- computed tomography
- hepatitis c virus
- electronic health record
- electron microscopy