How smart is Bingli in comparison with Chat GPT / Glass AI?


The use of generative artificial intelligence (AI) — specifically, large language models (LLMs) — has the potential to transform healthcare. Language modelling has revolutionized natural language processing by enabling computers to understand and generate human-like text. Among these models, LLMs have emerged as powerful tools in the field of AI.

AI Bingli


Evaluation of the accuracy and reproducibility of Bingli’s AI models
and compare its performance with LLMs (ChatGPT and GlassAI), using 
vignettes to represent virtual patients


The European medical device regulation imposes strict criteria
around the validation of the accuracy and reproducibility of software
considered as decision support systems. 





572 vignettes

Test of accuracy and reproducibility with 572 virtual vignettes used by Bingli, transformed into prompts compatible with both ChatGPT via API integration and Glass-AI through theirdedicated application.

Example vignette
Target disease: Angina Pectoris
Age: 50
Gender: M
Main symptom: Chest pain on exertion
Additional symptom: Tachypnea



Tested by ranking of the target disease within the comprehensive array of 10 differential diagnoses, to assess each model's proficiency
in correctly identifying and prioritizing the specific ailment in question.

correct in disease in top 3 disease not found-1


Empirical examination of the level of agreement observed among responses generated by an LLM when presented with ten identical prompts (dataset of 14 distinct cases), using Fleiss Kappa formula on incomplete blocks to calculate the concordance.


                                                                                                                                     Fill out the form to get the white paper

When testing the accuracy of models in finding a target disease based on simulated patient vignettes/prompts the specialized diagnostic AI platform Bingli is more accurate than ChatGPT and GlassAI in different test situations. Bingli always provides perfectly reproducible results
(the same input always produces the same output).

Although Europe’s MDR imposes strict criteria around the validation of the software’s accuracy and reproducibility, the inability to exactly reproduce output from is a specific concern in the healthcare context. In our reproducibility test, ChatGPT delivered only a moderate level of agreement (0.52 Kappa score).