AI’s Big Buzzword in Health Tech: The Promise of Accurate Conversational Resources
The Consumer Electronics Show (CES) 2025 has seen a plethora of innovations, but one area that stands out is the integration of Artificial Intelligence (AI) in health technology. Everywhere you look, there are AI-powered algorithms, health recommendations, and chatbots claiming to revolutionize the way we interact with our healthcare systems. However, the stakes for accuracy and privacy in health-related conversations are incredibly high.
The Problem with AI’s Reputation
AI has a reputation for making things up, and when it comes to health, this can have serious consequences. Health misinformation is rampant online, and chatbots often pull from vast repositories of public data that may not be entirely reliable. This is why Movano, the maker of smart rings, wants to make one thing abundantly clear about its new chatbot, EvieAI: it’s been post-trained exclusively on peer-reviewed medical journals.
EvieAI: A More Accurate Alternative
EvieAI was designed to provide a more accurate and reliable alternative to other generative AI assistants like ChatGPT. Unlike these platforms, which often rely on vast repositories of public data that may contain misinformation, EvieAI has been trained on over 100,000 medical journals written by medical professionals. This training is not limited to just any medical journals; it includes FDA-approved sources, practices, and procedures.
The Data Sources Behind EvieAI
Movano CEO John Mastrototaro emphasizes the importance of accuracy in health-related conversations. He states that all the data the Large Language Model (LLM) has access to comes from accredited sources referred to by a medical advisory board. This means that EvieAI is not relying on unverified or public data, which can contain misinformation.
Cross-Referencing for Accuracy
EvieAI is a bounded LLM, which means it will only speak to data from the ‘post-training’ phase after it’s been initially created. In this case, that means medical data. The LLM cross-references with organizations like the Mayo Clinic, Harvard, and UCLA to ensure accuracy. Anytime you query EvieAI, the LLM tracks to see if the information given in the conversation is consistent and accurate compared to the data it’s been trained on.
The Result: 99% Accuracy
According to Movano, this approach results in a remarkable 99% accuracy rate. While we were unable to test EvieAI for ourselves before CES, the company is confident that its unique training methodology will set it apart from other chatbots.
EvieAI’s Approach to Uncertainty
When asked about AI’s tendency to "hallucinate" or provide inaccurate information, Movano CEO John Mastrototaro firmly says that his team isn’t afraid for EvieAI to admit when it doesn’t have an answer. He emphasizes the importance of accuracy and transparency in health-related conversations.
"If you ask it ‘What do you think about the election?’," he says, "it’s not going to respond. It’s not going to tell you because it doesn’t have any information about that."
This approach is a refreshing change from other chatbots that may provide incorrect or misleading information just for the sake of providing an answer.
EvieAI’s Role in Health Conversations
EvieAI is designed as a conversational resource that gives clear and concise answers to health and wellness questions, with an emphasis on women’s health (much like the company’s Evie Ring). However, even peer-reviewed studies can present contradictory findings, and doctors don’t always agree on emerging science.
Limitations and Future Plans
While EvieAI is designed to provide accurate information, it’s not meant to be a diagnostic tool. It will steer clear of anything that could be considered medical advice, which would require FDA oversight. In the future, Movano hopes to incorporate individual health data collected by its smart rings into EvieAI.
Beta Version and Privacy
A beta version of EvieAI is set to roll out on January 8th to existing Evie Ring users within the Evie app at no extra cost. Movano emphasizes that conversation data will be periodically deleted and won’t be used for targeted ads, either. This dedication to adhering to medical industry best practices and standards sets a positive precedent in the health tech space.
Conclusion
As we navigate the vast array of innovations showcased at CES 2025, it’s essential to remember the importance of accuracy and privacy in health-related conversations. EvieAI’s commitment to using peer-reviewed medical journals as its training data and its transparent approach to uncertainty make it a promising alternative to other chatbots. Only time will tell if Movano’s innovative approach will revolutionize the way we interact with our healthcare systems.
