Artificial intelligence (AI) shows great potential for detecting breast cancer from mammograms, according to the largest study of its kind. The study, featured in Lancet Oncology and involving over 80,000 women in Sweden, compared the results of mammograms assessed by two radiologists without AI assistance to those assessed by AI and then reevaluated by humans. Surprisingly, AI detected even more cases of breast cancer, 244 compared to 203, without an increase in false positives. This breakthrough could significantly improve early detection and prognosis for patients, as stated by Dr. Stamatia Destounis of Elizabeth Wende Breast Care in Rochester, New York, in an interview with CNN.
However, the researchers stress that AI will not replace human radiologists anytime soon. Instead, AI could alleviate the burden of excessive reading for radiologists. Lead author Kristina Lang of Lund University explains that the greatest potential of AI at this point is to support radiologists and optimize their workflow, as reported by Politico.EU. It’s worth noting that while it’s standard practice in Europe for two radiologists to review scans, the same doesn’t apply in the US, as highlighted by CNN.
British radiology professor James O’Connor, quoted in the Boston Globe, suggests that if the public and healthcare professionals accept AI screenings, it could save a significant amount of time and help alleviate workflow shortages. Nevertheless, he dismisses the idea that AI could entirely replace human radiologists, emphasizing that it would serve as a useful tool to assist in less complex cases and allow specialists to focus on more challenging scenarios.
In conclusion, AI shows immense promise in the field of breast cancer detection, potentially revolutionizing early diagnosis and patient outcomes. However, its implementation is best seen as a collaborative effort between AI and human radiologists to optimize efficiency and accuracy.
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