Machines Treating Patients? It's Already Happening

Looking back, many experts agree that the spotty record of early applications of AI don’t necessarily signal the demise of machine learning in medicine. Instead, they highlight the need to be humble with any innovation, especially one that comes with too much hype. “IBM was too ambitious in my opinion,” says Dr. Steve Jiang, director of the medical AI and automation lab at UT Southwestern.

Today’s efforts in AI are somewhat less flashy, though still potentially revolutionary, and all seem to recognize one vital lesson: treating patients is both art and science. Rather than attempting to replace the physicians in medical practice, AI can, and should, say more experts, become a valuable tool in enhancing what doctors do.

The full Time article can be viewed at this link.