Pereiti prie pagrindinio turinio
Microsoft
separator
https://store-images.s-microsoft.com/image/apps.51478.d834ff85-7f63-40f7-affd-67f1ce5ff8bb.5a140b76-f7c6-4e5f-94b5-55386a5a11f6.055a4546-f5a5-4065-ba26-8daf0c8b4b90

Apollo Hospitals CXR TB Detection AI

pateikė Apollo Hospitals Enterprise Ltd

A deep learning-based algorithm for pulmonary tuberculosis detection in chest Radiography

  • A deep learning image prediction model, developed using Indian data combined with datasets from other countries, achieves higher accuracy compared to conventional risk scores.
  • Google Research & Apollo Hospital Collaboration Initiative
  • Feedback Loop from the prospective use in patients
  • Validated using various National & International Data sets
  • QMS: ISO 13485:2016 Certified, MDSAP Certified

Interpretation & Adoption Message

  • AI Algorithm + Clinicians: The chest X-ray TB Detection model has been built as an adjunct tool for clinicians to detect active pulmonary tuberculosis (TB).
  • Risk Identification and Prevention: The Chest X-ray TB Detection Model helps in early and accurate detection of pulmonary TB, but it should not be used as the only method for diagnosing tuberculosis.
  • Where to use: The TB chest X-ray model has been designed for use in the Radiology Department, specifically chest radiographs to detect tuberculosis at outpatient clinics and health check clinics.

Trumpa apžvalga

https://store-images.s-microsoft.com/image/apps.29557.d834ff85-7f63-40f7-affd-67f1ce5ff8bb.9b12533d-e3b3-4684-94bb-93fbd1d755fb.193e0c66-98b7-47bd-b8c5-c11c8a6c8428
/staticstorage/20260812.1/assets/videoOverlay_62a424ca921ff733.png
https://store-images.s-microsoft.com/image/apps.10944.d834ff85-7f63-40f7-affd-67f1ce5ff8bb.9b12533d-e3b3-4684-94bb-93fbd1d755fb.76491392-0940-481b-9504-7ec6f3f888a7
https://store-images.s-microsoft.com/image/apps.51431.d834ff85-7f63-40f7-affd-67f1ce5ff8bb.9b12533d-e3b3-4684-94bb-93fbd1d755fb.60401713-9a0d-4b36-b06c-c80d14afbf5a
https://store-images.s-microsoft.com/image/apps.43325.d834ff85-7f63-40f7-affd-67f1ce5ff8bb.9b12533d-e3b3-4684-94bb-93fbd1d755fb.9b31f669-dd7a-4787-a152-122d2b638df9
Lietuvių (Lietuva)
Jūsų privatumo pasirinkimų atsisakymo piktograma Jūsų privatumo pasirinkimai
Vartotojų sveikatos privatumas Svetainės struktūra Susisiekite su mumis Privatumas ir slapukai Naudojimo sąlygos Prekių ženklai Apie mūsų skelbimus Valdyti slapukus