AI is already reshaping diagnostics — from imaging algorithms to symptom checkers. But the biggest opportunity may not lie in improving individual tests. It may lie in deciding which test should happen next.
In this e-book, TTP explores a future diagnostic system called Dr DAIsy: an AI-enabled framework designed to guide patients more efficiently by selecting the most informative next step.
Rather than focusing on better instruments or isolated AI models, Dr DAIsy asks a more fundamental question:
Given everything we already know about this patient, what is the best next test to perform?
Inside the e-book, you’ll discover:
- Why selecting the right diagnostic test is often unintuitive
- How information theory and Bayesian reasoning apply to diagnostics
- The limitations of current AI symptom checkers and LLM-based systems
- How AI could optimise diagnostic pathways across healthcare systems
- What this shift could mean for diagnostic developers, providers, and patients
Download the e-book to explore how AI could fundamentally change the way healthcare systems diagnose disease.
Under increasing pressure to deliver, clinicians must improve their diagnostic efficiency. Yet choosing the right test is often far more complex than it appears, requiring clinicians to balance probabilities, cost, turnaround time, patient risk, and healthcare capacity simultaneously.
Rather than presenting AI as a black-box replacement for clinicians, the paper outlines a modular system architecture that provides explainable results and couple be deployed incrementally using existing technologies. It also examines how systems like Dr DAIsy could reshape the future diagnostics landscape, shifting value from simply generating data to extracting more insight from every test performed.
Can you beat the AI at diagnosis?
Try Diagnose Who?, TTP’s interactive game inspired by real-world diagnostics. Use tests to identify the target person while balancing cost, uncertainty, and imperfect results. Experience first-hand why selecting the “best next test” is such a difficult challenge for humans, and how AI could help transform diagnostic efficiency.
Working with the TTP Diagnostics Team
When developing next-generation in vitro diagnostic (IVD) systems, whether for point-of-care or distributed testing, success depends on delivering a product that works in practice, not just in concept.
We bring decades of experience in designing and delivering complex, regulated diagnostic systems. By integrating assay, hardware, software, and manufacturing from the outset, we take responsibility for the system working as a whole. This reduces risk, avoids rework, and accelerates the delivery of a deployable product.
Whether the priority is securing investment, meeting internal milestones, or hitting a market window, we focus on what it takes to deliver. Working with clarity, urgency, and technical depth to create diagnostics that succeed in the real world.
Talk to us about your next diagnostic system project.
