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AI model combines imaging and patient data to improve chest X-ray diagnosis

A new artificial intelligence (AI) model combines imaging information with clinical patient data to improve diagnostic performance on chest X-rays, according to a study published in Radiology, a journal of the Radiological Society of North America.

United statesSoroosh tayebi arastehSven nebelungKeno bressemTianci wangChristoph haarburgerJohannes stegmaierJakob nikolas katherDaniel truhnMegan craigFiras khaderChristiane kuhlTianyu hanRadiological society of north americaRadiological societyNorth america

Neural Network Model to Improve Diagnostics Performance on Chest X-Rays

According to a study published in Radiology, researchers have succeeded in combining imaging information with clinical patient data to improve diagnostic performance on chest X-Rays.

United statesFiras khaderRadiological society of north americaInterventional radiology at university hospital aachenStudy lead authorInterventional radiologyUniversity hospitalAutomation industry focusMedical information martIntensive careImage creditRadiological societyNon imaging dataChestx raysPatient data

AI combines chest X-rays with patient data to improve diagnosis

AI combines chest X-rays with patient data to improve diagnosis
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United statesFiras khaderRadiological society of north americaRadiological societyNorth americaInterventional radiologyUniversity hospital aachen

AI Combines Chest X-rays with Patient Data to Improve Diagnosis

AI Combines Chest X-rays with Patient Data to Improve Diagnosis
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United statesFiras khaderRadiological society of north americaRadiological societyNorth americaInterventional radiologyUniversity hospital aachen

AI combines chest X-rays with patient data to improve diagnosis

AI combines chest X-rays with patient data to improve diagnosis
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United statesFiras khaderRadiological society of north americaMedical information martIntensive careRadiological societyNorth americaInterventional radiologyUniversity hospital aachenMultimodal deep learningIntegrating chest radiographsClinical parameters