The essential role of clinically validated AI in the age of LLMs
In a world where the hype train never stops, there's one name on everyone's lips, one AI that's setting the world abuzz: ChatGPT, and Large Language Models (LLMs) in general. Everyone wants to harness its potential, and it's easy to see why. They call it a revolutionary change, a game-changer, a leap into the future.
But amidst the clamor and the chorus of praise, there's a sector that demands caution, scrutiny, and meticulous validation. In healthcare, where every decision can be a matter of healthy life, we need to ensure that technology is safe and validated. OpenAI’s usage policies explicitly disallow the use of ChatGPT for medical advice. Hence, as we receive many questions from our clients and other people from the industry regarding this topic, we have prepared a comparison. So, let's delve deep into the heart of this digital storm and explore the pros and cons of the most advanced LLMs to date (ChatGPT included) and clinically validated AI (Infermedica Triage included) in the healthcare arena.
It's important to note that ChatGPT and similar AI models have their place in healthcare as well, especially for information retrieval, patient education, or general health inquiries. However, they are not a substitute for clinically validated tools in areas where accuracy, safety, and regulatory compliance are paramount, such as health assessment, treatment planning, and patient care.
Infermedica’s AI-enabled solutions are designed and developed specifically for use in healthcare workflows. They can assist in clinical workflows by augmenting communication and educating patients. The outcomes provided by Infermedica’s engine are 94% accurate. Our solutions are also continuously validated by physicians, ensuring that the quality, safety, and accuracy of the tools remain high, and they are certified as Medical Devices.
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