What ChatGPT model would be better for HAID self-fitting

haidtalk09

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I know some of us here already have added information about ChatGPT, but I cannot help, I am so impressed, more and more working together with this tool in my haid case. For those new to this or those never trying this, here is a fundamental question to the same ChatGPT: Which model would be better to work with HAIDs?

Great question. When working on hearing aid programming, especially with Phonak, Target fitting software, and acoustic coupling (molds/domes), the best ChatGPT model for your needs is:

✅ GPT-4o (also called “4 omni” or "4o")

Here's why GPT-4o is your best option for this topic:


Why GPT-4o for Hearing Aids

  • Better memory and reasoning: It handles technical and step-based processes like Phonak Target navigation, fitting workflows, and audiological logic more accurately.
  • Understands clinical and technical language: It does better with terms like occlusion compensation, venting effects, in-situ audiometry, etc.
  • Supports diagrams and image input: If you upload a Target screenshot or ear mold chart, it can analyze it and guide you.
  • Stronger continuity: You tend to ask step-by-step or diagnostic questions over time. 4o remembers these better when memory is on.

Other Model Notes​

  • GPT-3.5 (o3): Still usable, but tends to oversimplify complex hearing aid fitting concepts and may lack recent knowledge about Phonak Naída L or Target 10.x updates.
  • o4-mini / o4-mini-high: Good for basic text or coding tasks, but not specialized enough for audiology or hardware-specific fitting software.

Ideal Use Cases for GPT-4o in Your Case​

  • Explaining Phonak Target settings like "adaptive Phonak digital", "real ear measurement", or "feedback manager".
  • Advising on fitting choices: mold vs. dome, vent size, power receivers, etc.
  • Comparing Phonak models: like Naída Paradise vs Naída Lumity UP.
  • Building workflows: fitting logic, trial procedures, pediatric vs. adult settings.
 
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