The Shield is fundamentally different from what can be done with general AI online.
Chat AIs or Large Language Models (LLMs) train on text and language patterns to deliver conversation-style answers. In healthcare, this presents severe challenges and is highly susceptible to training biases, hallucinations, and outdated information.
For example, exactly what do you train them on if a patient's case includes four separate health conditions and a dozen medications? General language models are not equipped to perform rigorous clinical reasoning on multi-drug drug-drug-disease networks.
By contrast, the AI Health Shield is not an automaton. It does not use "models" or "learning." Instead, it augments what a human expert can process by cross-referencing and cross-connecting extremely large quantities of structured clinical data on diseases, side effects, and medicines.
Learn more about chat AI challenges in medical applications.
Below is the actual text from a Shield subscriber describing their multi-condition medical journey. Copy and paste it into your favorite chat AI or search engine and observe the results.
"I went to the doctor late last year because of eye blurriness (I had lasik surgery the year before which gave me perfect vision). I was diagnosed with type 2 diabetes and high blood pressure. Currently trying and get my blood pressure under control. I’m on two different meds and I still can’t come down to normal levels. Doctor also diagnosed me with chronic kidney disease from the diabetes so now also getting dialysis. On top of all that having a bunch of side effects so constantly living at the doctor’s office. Additionally, was diagnosed with depression. I never had any of these problems before during my annual checkups."
Ask the AI: "What is causing my side effects and what alternatives do I have?" Compare their response to our solution.
We identified multiple contraindications within his medicines that were contributing to his side effects and how he was feeling. We suggested specific alternative medications and provided the real-world evidence for why they would work better. The patient discussed his Shield's recommendations with his new doctor, who agreed with the clinical reasoning and made the prescription changes.
"The AI Health Shield helped me in real-world ways when I needed it." — Anthony C., 2024