Alternative Health AI Assistant
An introduction to the emerging AI systems in healthcare today. Seldom seen by the public
As the rebellious Doc Malik noted, there’s new AI systems arriving that allow pharmacists and junior doctors to diagnose conditions and prescribe drugs. While this may reduce costs, errors and perhaps include simple dietary advice, it pushes healthcare towards an even more impersonal, protocol-driven system. A key aim is likely increasing pharma drug sales and usage. e.g.
But, there are now AI knowledge libraries emerging that provide similar tools based upon other health models including natural and alternative medicines.
Yes, new AI datasets (often referred to as LLM, or Large Language Models) now exist for alternative, non-pharma treatments too. These tools can provide community practitioners a wealth of background information for a more professional, personalised, humane and effective consultation. Videos and demos will be available shortly…
Components of an Alternative Health AI
- Nutrition
- Herbal Medicine
- Natural Medicine
- Alternative Medicine
- Phytochemistry (plant chemistry)
- Gardening (with a focus on medicinal plants)
Potential Applications
- Provide personalized herbal and nutritional recommendations
- Analyze interactions between herbs, foods, and conventional medications
- Offer guidance on growing and preparing medicinal plants
- Suggest alternative treatments for various health conditions
- Assist in phytochemical research and drug discovery
Key Benefits
- Increased accessibility to holistic health information
- Support for integrative medicine approaches
- Potential for new discoveries in natural compounds and their health effects
Potential Users
- Herbalists and naturopathic practitioners
- Nutritionists and dietitians; Health shops
- Researchers in phytochemistry and pharmacognosy
- Individuals interested in natural health approaches
- Gardeners focusing on medicinal plants
Confused by AI Assistant vs Search tech?
Here’s a great summary by an old SEO colleague in Australia who we’ve followed for years. He outlines why traditional search is dying fast and why these smart AI ‘answer tools’ are way better for both customers and business users…
The particular challenge for our sector which we hope to address, is tuning an AI system to gain access more additional [non-pharma] health libraries as well as bypass Googles’ blatant bias and censorship.
