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DEEP LEARNING IMAGE CLASSIFICATION MODEL FOR PEDIATRIC EAR DISEASE - PROJECT SUMMARY/ABSTRACT OTITIS MEDIA IS THE NUMBER ONE REASON CHILDREN SEEK MEDICAL CARE IN THE US WITH OVER 30 MILLION VISITS EACH YEAR. OTITIS MEDIA

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DEEP LEARNING IMAGE CLASSIFICATION MODEL FOR PEDIATRIC EAR DISEASE - PROJECT SUMMARY/ABSTRACT OTITIS MEDIA IS THE NUMBER ONE REASON CHILDREN SEEK MEDICAL CARE IN THE US WITH OVER 30 MILLION VISITS EACH YEAR. OTITIS MEDIA ENCOMPASSES ACUTE OTITIS MEDIA (AOM, INFECTION) AND OTITIS MEDIA WITH EFFUSION (OME, FLUID NOT INFECTED). CORRECT DIAGNOSIS IS IMPORTANT FOR APPROPRIATE TREATMENT. PEDIATRICIANS ARE CURRENTLY ABOUT 50% ACCURATE WITH DIAGNOSIS WHICH OFTEN LEADS TO CHILDREN BEING TREATED WITH ANTIBIOTICS WHEN THEY ARE NOT NEEDED. THE APPLICATION OF ARTIFICIAL INTELLIGENCE FOR MEDICAL DIAGNOSIS I

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recordType

award

region

US

value

2145748

unit

USD