Experts Raise Concerns Over ChatGPT’s Competence and Precision in Doctors and Patients Communication

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Generative AI chatbots such as OpenAI’s ChatGPT offer immense potential for doctors and patients, though the tool is yet to reach the desired level of competence and precision. Experts agree that these generative AI tools are set to revolutionize the healthcare industry.

A report by GlobalData, an analytics company, highlighted the potential of using ChatGPT in the field of healthcare and its ability to interact with patients and provide them with the necessary advice and guidance.

Dr Rajeev Jayadevan, Co-chairman of the Indian Medical Association’s National Covid-19 Task Force, said that doctors can benefit from ChatGPT as it provides them with quick and precise responses. Patients on the other hand can make use of the AI chatbot to answer common questions about their condition.

According to a study published in the Journal of The National Cancer Institute Cancer Spectrum, ChatGPT was found to be accurate 97% of the time when it comes to addressing cancer-related queries.

This is further highlighted in a study that was published in JAMA Internal Medicine that found that ChatGPT managed to outperform physicians when it comes to providing empathy.

However, the AI technology’s precision was low when it came to providing links to published studies and had limited information until September 2021. Therefore, it cannot be used for treatment purpose in the current state.

OpenAI, the company behind ChatGPT, is set to reshape the future of healthcare with this revolutionary AI technology. Their goal is to create AI-assisted healthcare that provides medical advice quickly, accurately and compassionately in addition to the support that patients receive from the healthcare professionals.

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Overall, the use of AI technology such as ChatGPT in healthcare could bring immense improvements in terms of patient inputs, diagnostics and treatments. However, industry experts suggest that more research and development needs to be done in order to make sure that the AI tool is competent and precise enough for medical use.

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