의료영상이 인공지능을 만났을 때: To be or Not to be

#Large-scale #MultiModal #Medicine #Radiology

의료영상과 AI의 접목이 가져오는 효용성과 카카오브레인의 기술력이 가능케 하는 미래를 소개합니다.

발표자 : amy.hong
카카오브레인의 유일한 의사, 영상의학과 전문의 Amy 입니다. 카카오브레인의 기술로 의료현장의 혁신을 창조하기 위해 노력하고 있습니다.

Transcript

1. 의료영상이 인공지능을 만났을 때
   To be or Not to be
   홍은경 amy.hong
   카카오브레인
   if(kakao)2022
   

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2. Diagnostic workflow and its challenges
   Artificial Intelligence in the field of Radiology
   Kakaobrain x Radiology
   

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3. Diagnostic workflow and its challenges
   Artificial Intelligence in the field of Radiology
   Kakaobrain x Radiology
   

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4. Patient Primary physician
   Laboratory exam
   Diagnostic Workflow
   Radiologic exam
   Pathologic exam
   Treatment Discharge
   

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5. Diagnostic Workflow
   Radiologic exam
   

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6. Image Scanner Raw data
   Diagnostic Workflow
   Radiologic image Reading Report
   Recon Detection Characterization Measurement
   

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7. Population is getting older Technological development Importance of Screening
   Increased Needs
   

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8. Shortage of Physicians
   Source : Association of American Medical College (2017)
   Association of American Medical College (2017) Journal of American College of radioloogists (2014)
   

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9. 9
   Radiology, 2015, 277.3: 863-871.
   Observer Variability in Medical Decision
   

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10. Increased Needs Shortage physicians Variability
    Challenges
    

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11. Diagnostic workflow and its challenges
    Artificial Intelligence in the field of Radiology
    Kakaobrain x Radiology
    

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12. 12
    Computer Aided Diagnosis (CAD)
    

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13. 13
    Annual trend in the number of papers related to deep learning in the medical field
    DL Related Publications in Radiology
    DL Related Publications in Radiology
    J Korean Soc Radiol. 2018;80(2):202-212
    

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14. 14
    Korea as a big player for medical AI
    High quality data Health Insurance Advanced Infrastructure
    

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15. Technical development of medical AI solutions
    JAMA Network Open. 2020;3(9) Medical Image Analysis 2019;55
    

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16. Clinical application of medical AI solutions
    J Am Coll Radiol 2021;18(8)
    

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17. Image Scanner Raw data
    Diagnostic Workflow
    Radiologic image Reading Report
    Recon Detection Characterization Measurement
    

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18. ?
    Image Scanner Raw data
    Diagnostic Workflow
    Radiologic image Reading Report
    Recon Detection Characterization Measurement
    

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19. Image Scanner Raw data
    Diagnostic Workflow
    Radiologic image Reading Report
    Recon Detection Characterization Measurement
    

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20. Diagnostic workflow and its challenges
    Artificial Intelligence in the field of Radiology
    Kakaobrain x Radiology
    

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21. Ko GPT Karlo Align
    Large scale AI technology of Kakaobrain
    

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22. Image by Karlo
    Kakaobrain x Radiology
    

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23. Chest X ray
    Large Scale
    Multimodal
    Generative
    AI model
    Radiology Report
    Kakaobrain x Radiology
    

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24. Massive medical data Large scale AI Global Presence
    Kakaobrain x Radiology
    

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25. 25
    For a Better World
    Image by Karlo
    

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26. Q&A
    

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