Artificial Intelligence in Healthcare: Is ChatGPT-4 Dependable for Cancer Patient Communication?
A recent study conducted by Mass General Brigham and appreciable researchers, such as Danielle Bitterman, MD, raised serious concerns on the reliability of AI in healthcare communications, particularly involving cancer patients. Published in The Lancet Digital Health, the study concluded that ChatGPT-4, a popular machine learning model used in text generation, was found to lack the necessary efficacy in providing correct and safe answers to patients' inquiries about cancer.
According to the research, responses generated by ChatGPT-4 were deemed acceptable by radiation oncologists 58% of the time, whereas a worrying 7% were found unsafe for patients if left unedited. Bitterman noted that while generative AI displays promise, it is still “experimental” at this stage, pointing out the unclear effectiveness of these models in addressing physician burnout.
While the idea of using AI to reduce administrative and documentation duties seems promising, it's crucial to fully assess these tools' impact on efficiency, safety, and clinical relevance. The study further stressed that while these tools might enhance workflow efficiency, patient safety should not be compromised.
Though AI’s role in healthcare progresses, the full examination of its safety when collaborating with humans is necessary. As the study suggests, there is an urgent need for multilevel approaches to evaluate both the safety of AI tools and humans' interaction with them. Now, it's clear that more research must be done to ascertain the safety of these models in the field of medicine.
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