A useful AI explanation should leave you able to explain the answer without the AI. For PLAB 1 revision, the important comparison between MedRevisions Professor and iatroX Tutor is therefore the learning interaction: what misunderstanding is identified, how it is addressed and whether you can apply the correction afterwards.
This article is published by iatroX and includes its Tutor in the comparison. It uses public product descriptions checked on 19 September 2026. We have not performed a controlled head-to-head evaluation of generated answers.
Compare two learning designs, not AI against no AI
MedRevisions publicly describes Professor as part of its AI-supported learning proposition. It should not be presented as a conventional question bank with no interactive support. Its wider product information also includes clinical practice through OSCE Revisions; the entitlement relevant to a particular purchase still needs checking.
The iatroX Tutor, according to September 2026 product information, starts from an attempted question and uses targeted follow-ups to explore the learner's misconception. That design is intended to make reasoning visible rather than simply reveal the correct option.
These are descriptions of product design. They do not establish that one system always produces better explanations or that either system is correct in every conversation. A useful comparison has to inspect the response to a real learning need.
An original evaluation exercise
Choose a question you are allowed to use and write down why you selected your answer before opening the explanation. Include the clue you relied on and the alternative you rejected. This creates something more informative than asking, "Why is the answer B?"
Then ask the teaching tool to explore your reasoning. Did it identify the actual assumption, or deliver a broad topic summary? Did it explain the distinction between plausible alternatives? Did it ask you to make another decision, or leave you passively reading?
For a fictional example, imagine a learner who repeatedly treats the most memorable feature in a vignette as the decisive one. The teaching goal is to recognise which information changes the immediate action. A long list of facts about the associated condition may be accurate but still miss that goal.
This exercise is a proposed method. Any published comparison of actual model outputs would need to report the original prompt, the responses, the assessment criteria and the limitations of the run. We do not invent results here.
Look for productive resistance
Good tutoring sometimes requires the learner to commit to an answer before receiving more information. That can feel slower than an instant explanation, especially near an examination. Slowness is not automatically a virtue, but neither is immediate fluency.
The useful question is whether the extra interaction uncovers something important. A targeted follow-up that reveals a mistaken rule can justify the time. Repeated generic questions that do not move the discussion forward may not. Assess the conversation at the level of the misconception resolved, not the number of messages exchanged.
General-purpose AI can also support guided questioning. ChatGPT Study Mode is one example. The potential advantage of an exam-integrated tutor is context and workflow, not exclusive ownership of the idea of asking a learner questions.
Check how uncertainty is handled
An explanation should distinguish a clear educational principle from a context-dependent judgement. When the tool is challenged, inspect whether it explains the reasoning, acknowledges uncertainty or simply changes its answer to agree with the learner.
Do not submit patient-identifiable information to test a revision product. Original fictional examples and legitimately available educational questions are sufficient. Nor should generated learning responses be treated as individual clinical advice without checking the relevant sources and circumstances.
Which approach is worth paying for?
Choose the resource whose interaction resolves the problems you actually encounter. A learner already satisfied with MedRevisions' explanation workflow may gain little from another subscription. iatroX is worth evaluating when question-linked follow-up and planned revision offer a useful alternative. Someone who needs only occasional clarification may find existing explanations and free reference resources sufficient.
Where the combined subscription fits
According to its September 2026 product information, iatroX supports PLAB 1 with adaptive question practice, spaced repetition and guided follow-up. Evaluate whether those functions solve your identified problem rather than treating an AI label as evidence of better results.
The free-question sample offers up to twenty questions for the selected examination, subject to availability, without an account or card. Full PLAB 1 access and ongoing Tutor use are paid; the separate introductory Tutor session requires a free account.
At the UK prices published on 19 September 2026, annual access costs £99 upfront, equivalent to £8.25 per month billed annually; monthly access costs £29. The paid package includes questions, Tutor, planning, simulations and CPD tools. Value depends on using several relevant learning methods, not on collecting access to unrelated exams.
Frequently asked questions
Has iatroX independently proved that its Tutor outperforms Professor?
No comparative result is claimed in this article. The proposed evaluation method would need to be carried out and reviewed before publishing a performance comparison.
Can a general-purpose chatbot provide guided learning?
Yes. Guided questioning is not exclusive to specialist medical platforms, although exam integration and content context may differ.
Should I judge a tutor by how detailed its answer is?
Detail can help, but the better test is whether it resolves the misconception and supports a correct explanation without assistance.