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In a draft guidance published on October 22, 2024, NICE, England, suggested using AI in X-rays to detect fractures in English healthcare services.
Image source: NICE
NICE recommends AI tools for fracture detection, such as TechCare Alert, BoneView, RBfracture, or Rayvolve. These solutions will address diagnostic errors that occur in 3-10% of cases.
Image source: Milvue
Indian Radiology landscape, too, is experiencing revolutionary change, and the adoption of AI will accelerate this progress further. It is expected to see a CAGR of 12-15% in the next five years.
Image source: Canva
India will see a surge in the use of AI in its radiology workflows to automate imaging and report generation. This will reduce manual workload and improve patient care service.
Image source: Canva
AI algorithms will be able to identify minute discrepancies, creating accurate X-ray images. This can facilitate the effective detection of hairline fractures, osteoarthritis, or early-stage tumors.
Image source: Canva
Tele-radiology involves giving remote consultations, and AI can fasten this process to reduce downtime further. Medical practitioners can use this to provide services in remote areas.
Image source: Canva
According to Dr Bilal Thangal T M, Medical Lead, NURA, AI-based X-ray diagnosis has a promising future in India. Still, we must address the current challenges of its everyday usage.
Image source: NURA