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Home - Health Conferences & Events | ุงู„ู…ุคุชู…ุฑุงุช ูˆุงู„ูุนุงู„ูŠุงุช ุงู„ุตุญูŠุฉ - AI in Medicine: Radiology, Pathology & Patient Care | Dr. Ibrahim Al Ghaithu | EPHOC

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AI in Medicine: Radiology, Pathology & Patient Care | Dr. Ibrahim Al Ghaithu | EPHOC

ME Desk
ME Desk
Published: September 24, 2025
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Dr. Ibrahim Al Ghaithu, a pediatric hematologist and oncologist from The Royal Hospital in Muscat, provides a concise and clear explanation of artificial intelligence (AI) and its current applications in the medical field. The interview took place at the Seventh Emirates Podiatric Hematology and Oncology Conference in Abu Dhabi.

Here are the key highlights from my discussion with Dr. Al Ghaithu:

AI Explained for a Non-Tech Audience: Dr. Al Ghaithu explains AI from a physician’s point of view, defining it as an advanced, algorithm-based technology that’s been trained on large datasets. He differentiates between the two main types of AI: generative (like ChatGPT, which responds to prompts) and a more active, “aetic” type that can make decisions.

AI in Medical Practice: He confirms that AI is already a reality in medicine. He provides two specific and compelling examples:

  • Radiology: AI is trained on massive numbers of X-rays, CT scans, and MRIs. It can quickly and efficiently read these images and generate reports. Dr. Al Ghaithu notes that studies have shown AI to be “daringly good,” with accuracy comparable to, and in some cases, better than human radiologists, and that it also offers recommendations for the next steps in patient care.
  • Pathology: In a similar application, AI is being trained on vast collections of pathology slides. It can analyze samples more quickly and efficiently than human pathologists, which also makes the process more cost-effective.

The Future of AI: Dr. Al Ghaithu concludes by stating that we can expect to see much more of AI in the medical field, as it offers a quick, efficient, and cost-effective way to improve healthcare.

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