AI Systems for Advanced Diagnostic Radiology: Key Takeaways

September 14, 2022

In a special guest feature with Healthcare Radius, Dr. Jaideep Jesson Rayapudi, Sr. SME – Healthcare AI at iMerit, highlights how artificial intelligence (AI) is enabling immense advancement in radiology and challenging even the most experienced radiology professional.

Here are 3 key takeaways from the article:

  • The top applications of AI in clinical imaging to improve detection, diagnosis, and prevention of fatal consequences include detecting cardiovascular abnormalities, diagnosis of neurological conditions, early detection of common cancers, detecting fine fractures and musculoskeletal injuries, and detecting thoracic complications.
  • Medical AI experts are key to building models that support medical specialists in diagnosing disease by drawing from diverse datasets, and state-of-the-art deep learning techniques. These AI experts with knowledge of medical processes are essential to annotate medical data and images such as X-rays, CT scans, MRIs, and ultrasounds to train ML models.
  • Experts in healthcare deem AI as an enormous opportunity for radiology to build the right resources and expertise for a positive impact on medicine. However, as opposed to popular belief that AI-led systems will replace humans, AI and ML will complement human intelligence in radiology and medical imaging.

Read the complete article here: Data annotation and AI tools for advanced diagnostic radiology

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