
Adjunctive clinical decision support, built on principled AI
Coming Soon
Dr Foster AI exists to support qualified medical professionals with fast, structured adjunctive differential diagnosis — not to replace clinical judgement, but to augment it. In a world where time pressure and cognitive load are constant challenges in clinical practice, a well-designed adjunctive decision support tool could be the difference between a missed diagnosis and a timely intervention.
We believe that AI in medicine should be transparent about what it is, honest about its limitations, and built by people who understand both the technology and the responsibility that comes with it.
If you would like early access, or to be part of any trials, please email us at hello@drfosterai.com. Please include why you think you should be included, and whether you are a clinician, medical practitioner or just curious, and if you have any experience using differential diagnostic AI.
What Is Dr Foster AI?
Dr Foster AI is a clinical decision support system powered by an ethical large language model, with specific specialities. It takes a patient presentation — either as free-form clinical notes or as structured patient data — and returns a ranked differential diagnosis with supporting rationale, recommended investigations, and urgent action flags.
The system is designed for use by qualified clinicians and medical professionals. It is not a diagnostic tool for patients, and all output should be interpreted in the context of direct clinical assessment.
Regulatory Position
Dr Foster AI is currently in development and evaluation. We are actively monitoring the MHRA's evolving framework for AI as a Medical Device (AIaMD) and are committed to ensuring full compliance prior to any formal clinical deployment.
In its current form, Dr Foster AI is made available for use by qualified medical professionals as a decision support aid only. It does not constitute a regulated medical device under current MHRA guidance. Users are responsible for all clinical decisions made in connection with its output.