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Augmenting Human Capabilities With AI And Computer Vision For Healthcare

Dec 06, 2023 - forbes.com
The article discusses the increasing role of computer vision (CV) and artificial intelligence (AI) in healthcare, particularly in diagnostics and procedure assistance. The global computer vision in healthcare market is expected to grow at a CAGR of 35.2% from 2023 to 2030. CV and AI are transforming healthcare by making it more accessible and accurate, with over 520 AI medical algorithms approved by the FDA as of January 2023. These technologies are used in diagnostics to speed up diagnosis and detect anomalies, and in procedure assistance to reduce technical mistakes and provide a life-like environment for training.

However, the adoption of AI and CV in healthcare faces challenges such as insufficient training, potential malfunctions and misleading results, and the imperfect state of current technologies. Despite these challenges, the article emphasizes that AI and CV are meant to assist, not replace, human professionals in healthcare. While these technologies are still expensive to adopt, the benefits they offer in aiding and speeding up processes make them worth considering for investment.

Key takeaways:

  • AI and CV technologies are transforming healthcare, making it more accessible and accurate. They are being used in diagnostics and procedure assistance, with the FDA approving several tools and devices in these areas.
  • Despite the advancements, AI and CV technologies face challenges such as insufficient training, unexpected malfunctions, and the imperfect state of the technologies. These challenges need to be addressed to ensure their accuracy and reliability.
  • AI and CV are there to assist, not replace human professionals. They are being used for automated solutions for repetitive tasks to help human professionals perform their jobs better.
  • Although AI and CV are still expensive to adopt, the opportunities they offer in aiding and speeding up multiple processes might be worth investing in or at least considering seriously.
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