Timely, guideline-aligned infection support for clinicians worldwide- delivered in under 48 hours
Why Use Human-Reviewed AI for Clinical Infection Queries
The best of two worlds
AI can instantly analyze symptoms, lab results, and guidelines — but medicine demands more than pattern recognition. That's why every recommendation we generate is reviewed by expert clinicians before reaching you
WHY YOU NEED TO THINK TWICE
AI makes it faster and digitally recorded.
We aim to make it even safer adding our experience value
As of 2025 there still is significant problems with AI outputs for clinical knowledge but you are tempted to try because
- You are strapped for time
- You are tempted by the illustrative referencing and detailed outputs in the stroke of a second and the ease of your mobile phone
- You have tried everything else and your local microbiologist cannot provide further help
- You have no access to a dedicated clinical infection specialist
38%
of our tested scenarios across multiple AI platforms for clinical microbiology are
WRONG
UNSAFE
UNREALISTIC
CONFUSING
(e.g advising trimethoprim for ESBL bacteraemia, ignoring the nuance of prolonged coughing in children and more)
WE HAVE WORKED AS CLINICAL EDUCATORS IN MEDICAL SCHOOLS FOR YEARS AND ARE ABLE TO RECOGNISE THESE LEARNING GAPS THAT ARE COMMON IN HUMANS TOO
3-12 %
generative AI hallucination across medical fields
EVEN TUNED MODELS LIE
Hallucination rate is: ~5.8% on medical QA datasets for MedPalm ( healthcare- tuned model) 2023
Human raters still preferred physician-written answers
Johns Hopkins Study (2023):
Evaluated ChatGPT (GPT-3.5) on medical questions
Hallucination rate: 11.5% — defined as “plausible but factually incorrect answers”
*confidently wrong*
You are a human used to reading online guidance materials and you sometimes love to absorb them verbatim, plus AI makes it sound so full and solid (with endless disclaimers)
Even the most advanced LLMs:
May generate confident-sounding but inaccurate advice
Struggle with edge cases, rare conditions, or ambiguous cultures
Don’t know when they’re wrong
We believe responsible AI use by medical professionals should be supporting, not replacing, expert judgement
We have been developing UK hospital guidelines for decades and work front line daily understanding your challenges
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