Executive summary
The challenge of diagnostic uncertainty is a major patient safety issue in the UK. Studies suggest that a significant proportion of avoidable harm in both primary care and hospital settings stems from diagnostic error. As clinicians, we are trained to manage this uncertainty, but cognitive biases like anchoring and premature closure are a constant risk in a high-pressure environment (PMC, qualitysafety.bmj.com).
This is where artificial intelligence can act as a powerful new partner. While randomised trials show mixed results when physicians use a large language model (LLM) unaided, a new generation of structured AI differential diagnosis tools is emerging. When paired with authoritative clinical reference platforms like UpToDate, DynaMed, BMJ Best Practice, and VisualDx, these AI "brainstorming" tools can help clinicians widen their net, spot "don’t-miss" conditions, and build a more robust diagnostic process. The iatroX Brainstorm feature is a UK-centric tool designed for this purpose—providing a structured, ranked differential that can then be verified against trusted guidelines and evidence.
The landscape: what “AI-supported differential diagnosis” actually covers
- Brainstormers (LLM-based): These tools use generative AI to propose a list of potential diagnoses based on a clinical vignette. Examples include the UK-centric iatroX Brainstorm, Glass Health, and US-based tools like OpenEvidence’s DeepConsult.
- Authoritative references: These are the gold-standard, editorially maintained platforms designed for point-of-care use. They include UpToDate, DynaMed, BMJ Best Practice, and the dermatology-focused VisualDx. These are what you use to verify an AI's suggestions.
- Generalist LLMs: General-purpose assistants such as ChatGPT, Perplexity and Grok offer different search and account options. Inspect the actual source context and proposed task; this article does not establish a comparative clinical-risk ranking.
Evidence check: evaluate the relevant task
Clinical AI studies use different models, cases, tools and reference standards. A benchmark result cannot establish the accuracy of every current product or demonstrate an improvement in real patient outcomes. Before using a study in a buying decision, inspect the tested product version, population, comparison and intended workflow. This article does not provide a head-to-head diagnostic accuracy trial of the listed products.
Reference platforms you should open alongside any AI output
The safest way to use AI for differential diagnosis is to follow a simple rule: brainstorm with AI, then verify in the references. Your primary verification tools should be:
- UpToDate: The global standard for expert-authored, evidence-graded topics, perfect for working up complex cases.
- DynaMed: Known for its concise, graded recommendations and clear "Approach to..." topics for common presentations.
- BMJ Best Practice: An excellent point-of-care tool with step-by-step symptom evaluation guides and integrated calculators.
- VisualDx: An indispensable, image-rich differential generator for any dermatological presentation or skin manifestation of systemic disease.
iatroX Brainstorm for learning (UK/NHS)
The iatroX Brainstorm feature is a structured differential diagnosis tool designed with the UK clinician in mind, particularly for education and training.
- What it does: You input the key features of a case, and the tool returns a ranked list of potential differentials, suggests initial investigations, and highlights critical "don’t-miss" conditions, all designed to augment your own clinical judgment.
- How you verify: Use the source links supplied with an output to inspect the relevant guidance and its scope. For the decisive claim, check the supporting passage and applicable local context.
- The education angle: It is explicitly designed as a "Brainstorming mode" to help you practise clinical reasoning. It is an ideal tool for trainees to rehearse case construction before a tutorial or for preparing to present to a senior.
Using general LLMs (ChatGPT, Perplexity, Grok) safely and productively
Generalist tools are great for generating a wide range of ideas, but they are not a source of truth.
- ChatGPT: Can be a powerful brainstorming partner, but its variable medical accuracy means you must treat its output as a set of hypotheses to be rigorously tested against your reference tools.
- Perplexity: Inspect the selected mode and information sources, then check whether each cited source supports the claim and applies to the UK question.
- Grok (xAI): Check the exact product, available tools and permitted task. This comparison does not establish a clinical performance result or an approved local deployment.
A practical workflow
- Frame the case with a succinct, de-identified problem representation.
- Brainstorm in iatroX Brainstorm (or a general LLM) to widen the net and surface "don’t-miss" items.
- Verify each plausible candidate diagnosis against an authoritative reference: UpToDate, DynaMed, BMJ Best Practice, or VisualDx for skin conditions.
- Decide & document: Record your final differential, your sources, and your clinical reasoning in the patient's notes.
- Learn: If the case highlighted a knowledge gap, log it for your CPD. You can use a tool like the iatroX Quiz to create a spaced repetition schedule to consolidate your learning.
Buyer’s checklist for AI differential tools
- Provenance: Does the tool provide visible citations and links to trusted UK-accepted sources? (iatroX Knowledge Centre)
- Structure: Does it provide a ranked differential, suggested investigations, and clear red-flag warnings? (iatroX Brainstorm)
- Abstention & uncertainty: Does the tool clearly state when evidence is weak or a condition is outside its scope?
- Educational value: Does it have a dedicated mode for practice and learning, not just providing answers? (iatroX Brainstorm)
Quick comparison table
| Tool | Type | Strengths | Limitations | Best Used For |
|---|---|---|---|---|
| iatroX Brainstorm | UK-centric LLM Assist | Structured DDx + UK Citations | Not a substitute for primary guidelines | Teaching & Clinic Prep |
| ChatGPT | General LLM | Fast Ideation, Flexibility | Source and search configuration require checking | Early Brainstorming (must verify) |
| Perplexity | Answer Engine | Cited Outputs from Web | Source quality varies; not UK-specific | Rapid Scans (verify in primaries) |
| Grok | Real-time Assistant | Broad Capabilities | Clinical deployment and evidence require checking | Assess the permitted task and source support |
| UpToDate/DynaMed/BMJ | References | Evidence-Graded Topics | Subscription Access | Verification & Management |
| VisualDx | Derm Reference | Image-Rich Differentials | Narrower Scope | Skin Presentations |
FAQs
Does AI replace clinical judgement?
A generated differential is a set of suggestions to examine. Clinical assessment, source verification and the appropriate local pathway remain necessary. An output list is not a diagnosis or an independently validated probability ranking.
Can ChatGPT cite sources?
Yes. Official documentation describes web search and citations, with availability affected by account and workspace settings. Check whether search was used and whether the linked source supports the actual claim.
Where does iatroX add value?
iatroX combines UK-focused reference and reasoning tools with question practice, Tutor follow-up and retained learning. That connected workflow is a useful reason to evaluate it; the presence of these features does not establish a measured diagnostic-accuracy advantage.