Many physicians are reluctant to incorporate AI into patient care, expressing concerns about trust, accuracy, and liability. However, this hesitation raises a crucial ethical question: is it right to ignore certified medical devices powered by machine learning algorithms, especially when they can enhance diagnostic speed and accuracy?

Certified AI tools, such as those employing advanced machine learning, have been rigorously tested to meet regulatory standards. They are designed not to replace physicians but to assist them—streamlining differential diagnosis, reducing errors, and improving patient outcomes. Tools like SBAS Software, for example, can analyze blood test results to predict over 500 medical conditions, including 72 types of cancer. These systems are not experimental; they are validated and proven, often outperforming traditional methods.

When such technologies exist and are accessible, knowingly avoiding their use could be seen as an ethical lapse. Physicians have a duty to provide the best possible care, and leveraging technology to save time and lives aligns with this principle. In an era where the global shortage of healthcare professionals is causing delays in care, these tools can also help bridge gaps in access, particularly in underserved regions.

The resistance to AI is understandable. Change is challenging, and trust in machines takes time. However, dismissing certified AI medical devices outright does a disservice to patients. The question isn't whether AI will replace physicians but rather how physicians can best work alongside AI to deliver faster, more accurate, and more equitable healthcare.