New Study Shows ChatGPT Provides Better Answers Than Human Doctors

New Study Shows ChatGPT Provides Better Answers Than Human Doctors

Doctors, watch out! Artificial intelligence aka AI may be coming for your white coats.

A new study published by JAMA Internal Medicine found that ChatGPT gave better answers than human doctors four out of five times.

Gizmodo reported that after JAMA examined questions from patients, researchers found 79% of cases preferred responses from AI’s responses. Not only were their answers more thorough, a panel of medical professionals found AI to be more empathetic as well.

Experts say this could cause “major implications” in healthcare but there are spaces within the industry where this could be helpful for medical advice.

“Doctor’s inboxes are filled to the brim after this transition to virtual care because of COVID-19,” John W. Ayers, PhD, MA and vice chief of innovation at UC San Diego School of Medicine Division of Infectious Diseases and Global Public Health, said. “Patient emails go unanswered or get poor responses, and providers get burnout and leave their jobs. With that in mind, I thought ‘How can I help in this scenario?’”

Artificial intelligence is slowly but surely making a name for itself in the medical industry.

According to Forbes, numerous articles have stated that “medicine stands out as one field in which there is tremendous potential.” The New England Journal of Medicine said AI is playing a high role in health insurance coverage, assisting caregivers in making claims and payers in adjudicating them. Studies have also shown  that AI has been used to interpret images in radiographs and histology.

Ayers and other experts claim medical professionals should be aware of AI as it is progressing at an alarming rate. But more studies are needed before human doctors can be completely counted out.

“The results are fascinating, if not all that surprising, and will certainly spur further much-needed research,” Steven Lin, MD, said. He said the results can also be skewed due to the methodology for judging quality.