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Medical error is currently the third leading cause of death in the US, and as many as one in six patients in the British NHS receive incorrect diagnoses. With statistics like these, it’s unsurprising that researchers at Johns Hopkins University believe diagnostic errors to be “the next frontier for patient safety.”

Enter artificial intelligence. AI can potentially transform medical practice and drastically reduce the number of medical errors, as well as provide a host of other benefits. In some areas, AI systems are already capable of matching, or even exceeding, the performances of experienced clinicians. In an interview for Smart Planet, MIT scientist Andrew McAfee, co-author of The Second Machine Age, is convinced, “If it’s not already the world’s best diagnostician, it will be soon.”

Recent reports show systems already capable of matching specialists when diagnosing skin cancer or identifying a rare eye condition responsible for around 10% of global childhood vision-loss. AI systems can even exceed human doctors in identifying certain types of lung cancer. These successes will continue to grow as the technology matures. Add to this the benefits derived from faster diagnoses, reduced costs, and a more personalized medicine, and it’s easy to see there are compelling reasons to adopt AI throughout medical practice.

… Read More

Image: By Troy Straszheim – Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=15921492

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