YOUR STUDY HUB
Revision Planner
Plan your revision sessions, track topics, and stay on schedule.
Your UKMLA Revision Plan
Personalised to your progress and exam date
★ Premium
Enter your exam date and Anki progress. We'll suggest a daily target, and you can adjust it before generating your plan.
How priority weights work: Specialties are ranked using estimated weights derived from the number of conditions per specialty in the GMC's MLA Content Map, not from officially published AKT question percentages (the GMC does not publish these). Treat the weights as a reasonable starting point, not a guarantee of exam distribution.
Your details Step 1 of 3
Tip: use the FSRS algorithm. We recommend enabling FSRS in Anki (Tools > Preferences > Review > FSRS). It spaces reviews more optimally than the default SM-2 scheduler, reducing unnecessary reviews while maintaining retention. Time estimates in this planner are based on FSRS-style usage.
Progress per specialty Step 2 of 3 — check subdeck counts in Anki
Open Anki and read the number next to each subdeck. Type it in exact mode, or drag the % slider to estimate. Both stay in sync.
Daily target Step 3 of 3
~33 mins per day
25 new cards (~1 min each) = ~25 mins
~45 reviews (~10 sec each) = ~8 mins
Review count grows as your deck matures. Full methodology is on the plan page.
Your UKMLA Revision Plan
—
★ Premium
Priority schedule
—
sorted by estimated specialty weight x your remaining cards (weight methodology)
| Priority | Specialty | Est. weight | Your progress | Cards left | Start date |
|---|
Weak topics
flag & unsuspend
Flag topics you want to revisit. In Anki: Browse, search the specialty tag, then unsuspend those cards to add them to your queue.
About estimated specialty weights
The Est. weight column is derived from the proportion of conditions each specialty contributes to the GMC MLA Content Map, not from officially published AKT question distribution percentages. The GMC does not publish exact per-specialty breakdowns for the AKT. These weights are a reasonable proxy for exam emphasis, but the actual distribution in your sitting may differ. Use them to guide prioritisation, not as a precise prediction.
About daily time estimates
New cards (~1 min each). Anki's default learning steps show each new card 2-3 times within the session before it enters the review queue. Combined with medical content complexity, community-reported times range 45-90 sec per new card; 1 min is a mid-range estimate.Reviews (~10 sec each). Based on Bjornstad (2020), a 10-year personal Anki dataset. Median was 7 seconds per review; 5-10 seconds is typical. Source: controlaltbackspace.org/learn-amount
Review load over time. The planner estimates today's reviews at 1.8x new cards (typical for the first month). Growth follows a logarithmic curve (steep initially, then flattening), modelled from Issa Rice (2023) simulation data. For a finite revision deck, the load stabilises once you stop adding new cards and may decline as intervals lengthen past your exam date. The "at completion" figures in your plan are calculated from this model. These estimates assume FSRS is enabled in Anki: FSRS spaces reviews more efficiently than SM-2, so your actual counts may be slightly lower.