I wonder, do you think AI-assisted medical imaging systems (e.g., MRI, CT scans) could completely replace doctors? These systems, currently used as secondary diagnostic tools in many hospitals, could they become the primary source of diagnosis in the future? What are the advantages in terms of diagnostic accuracy and saving time for patients? How do you evaluate this technology? Let's consider it from both the patient's and the doctor's perspective.
How reliable is AI-assisted medical imaging?
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Last month, at the medico-technical fair, I met a team from a radiology lab testing an AI-assisted chest X-ray system. While the algorithm, fed with the patient’s history, detected three suspicious lesions in the image within 18 seconds, the human doctor took seven minutes to review the same film and only spotted one. Cases like this left me stunned.
Still, I realized it’s far from a complete replacement. Last week, an AI flagged a "high-risk nodule" in a relative’s CT scan—only for the pathology results to contradict it. Doctors still make the final call, filtering AI suggestions through clinical experience. In short: AI provides recommendations, humans make the decisions.
Thanks for bringing this up—it's such an important topic! With AI-assisted systems now achieving over 90% accuracy in diagnostics, I don’t think they can fully replace doctors just yet. They’d be a huge help in speeding things up, especially in emergencies. Which areas do you think should be prioritized first?