Idanwo ti o sopọ mọ itọsọna · Alabọde Ipele

AI ni Ẹkọ aisan ara adanwo

Review digital pathology images, tile-based processing, weak slide labels and specific AI-assisted diagnostic tasks and their limits.

Jẹmọ itọsọna awọn ọnaAI Ni Ẹkọ aisan ara
Ibeere 1 ti 8

Kini 'aworan ifaworanhan gbogbo' ni imọ-ọkan oni-nọmba?

Awotẹlẹ gbogbo ibeere8 ibeere

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

  1. Kini 'aworan ifaworanhan gbogbo' ni imọ-ọkan oni-nọmba?
    • Ayẹwo oni-nọmba gigapixel ti gbogbo ifaworanhan àsopọ
    • A ya aworan alagbeka kan pẹlu foonu kan
    • X-ray ti àyà alaisan
    • Iroyin lab ti a fi ọwọ kọ
  2. Kini idi ti awọn awoṣe AI ṣe ilana awọn ifaworanhan ni awọn alẹmọ kekere tabi awọn abulẹ?
    • Nitori awọ jẹ ko ṣe pataki ni pathology
    • Nitori aworan gigapixel kikun ti tobi ju lati jẹun ni ẹẹkan
    • Nitori àsopọ jẹ square nigbagbogbo
    • Lati ṣe aworan dudu ati funfun
  3. Ẹkọ-ọpọlọpọ ṣe iranlọwọ nigbati:
    • Ko si awọn akole rara ko si si ibi-afẹde
    • Awoṣe nilo lati tumọ ọrọ
    • Aami ipele ifaworanhan nikan ni a mọ, kii ṣe ipo tumo gangan
    • Ifaworanhan jẹ aworan deede
  4. What regulatory pathway did FDA use for Paige Prostate?
    • It issued a blanket approval for all pathology AI
    • It granted a drug marketing authorization
    • It declared that pathologists are no longer needed
    • It granted a De Novo classification for the specific device and intended use
  5. Kini iṣiro AI Ki-67 kan ninu tumo kan?
    • Bawo ni iyara awọn sẹẹli tumo n pọ si
    • Iwọn ẹjẹ alaisan
    • Iwọn ile-iwosan naa
    • Sisanra ifaworanhan ni millimeters
  6. What can an AI system provide in a pathology workflow, according to the scoped examples?
    • A definitive cancer diagnosis without a pathologist
    • A decision-support output that a pathologist reviews in context
    • An automatic treatment prescription
    • A replacement for tissue sampling
  7. What is a key idea in CLAM for whole-slide classification?
    • Every patch must have a manually annotated pixel mask
    • The model analyzes only patient age
    • Attention-based multiple-instance learning can identify informative image patches from slide-level labels
    • It replaces the slide image with a text report
  8. What did Paige Prostate receive De Novo authorization to assist pathologists with?
    • Automatically selecting cancer treatment
    • Replacing biopsies with blood tests
    • Diagnosing every cancer type from MRI
    • Identifying suspicious regions on digitized prostate biopsy slides