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Imaging Tech is an early startup that offers a new AI Cloud software solution designed to enable radiologists to accurately detect high-level abnormalities on medical images to improve decision-making time, prioritize urgent cases, and deliver improved treatment for patients.

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Monthly Archives: October 2024

What is radiography, and what role does it play in human life?

October 18, 2024
by shokrizadeh

Radiography is a key medical imaging method that uses X-rays to find and track health issues. It's very important in today's healthcare. It helps doctors see inside the body and find problems early. This lets them treat diseases better. This article wi ...

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The impact of artificial intelligence on the efficiency of radiologists

October 18, 2024
by shokrizadeh

Big data and AI algorithms are changing healthcare in Canada. They help improve patient care and reduce radiologist fatigue. AI can make healthcare better by making tasks more efficient and accurate. However, there's not enough scientific proof on AI's b ...

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How AI in radiology helps radiologists to do their job

October 18, 2024
by shokrizadeh

The world of healthcare is changing fast, thanks to Artificial Intelligence (AI) in radiology. AI is making radiologists in Canada work smarter and more accurately. They can now diagnose medical conditions better and faster. AI is changing medical imagin ...

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Can radiologists be replaced with AI?

October 18, 2024
by shokrizadeh

Artificial intelligence (AI) and machine learning are changing many industries, including healthcare. In radiology, AI is becoming more important. This raises a big question: Can AI replace radiologists in Canada? AI can now analyze medical images like X ...

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Recent Posts

  • Radiology in Emergency Medicine: Rapid Diagnosis Saves Lives
  • Federated Learning in Medical Imaging: Privacy-Preserving AI Across Hospitals
  • AI-Enhanced Multi-Modality Imaging: Combining CT, MRI, and Ultrasound for Smarter Diagnoses
  • Reducing Diagnostic Bias: How AI Algorithms Are Shaping Equitable Radiology
  • The Future of Radiology: AI Trends in 2025 and Beyond

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