Publications by authors named "Aamir Mohammed Shariff"

Article Synopsis
  • Kidney stone disease is on the rise globally across various demographics, likely due to changes in diet.
  • Early detection is essential to prevent complications, and artificial intelligence (AI) is playing a significant role in detecting kidney stones and managing their treatment.
  • AI techniques enhance the accuracy and efficiency of diagnosing kidney stones from CT images, leading to better treatment planning and improved patient outcomes.
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Kidney stones and urolithiasis are kidney diseases that have a significant impact on health and well-being, and their incidence is increasing annually owing to factors such as age, sex, ethnicity, and geographical location. Accurate identification and volume measurement of kidney stones are critical for determining the appropriate surgical approach, as timely and precise treatment is essential to prevent complications and ensure successful outcomes. Larger stones often require more invasive procedures, and precise volume measurements are essential for effective surgical planning and patient outcomes.

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