Study method
Stop wondering what to study. Know where to start.
MOALM AI turns your medical notes and past exams into key topics, concept maps, questions, flashcards, and an AI tutor. Five steps take you from upload to exam day.
Start from your own materials
The MOALM study method begins with the materials for your next exam rather than a generic question bank. You upload lecture slides, class notes, or textbook chapters as PDF, PPTX, DOC, or TXT files, plus photos of handwritten notes and audio recordings of lectures for the explanations that were spoken rather than written. Everything you upload becomes one module, so a Cardiovascular System block, a Pharmacology block, or a Renal Physiology block each gets its own focused analysis. Because everything is built from your module, the topics, priorities, and predictions always match the course you are actually taking, whether it is systems-based or subject-based, in any country or exam board. Starting is free: one module with full topic analysis and no credit card required.
See what to focus on first
MOALM AI reads your module the way an examiner would. It finds the topics inside, connects them into a concept map, and estimates your mastery of each one so your focus areas are marked from day one. Instead of rereading everything equally, you start where the gaps are biggest and where the exam weight is heaviest. The concept map also shows how topics depend on each other, so when a clinical topic feels hard, you can trace it back to the basic science it builds on and fix the foundation first. Your evenings change shape: rather than rebuilding flashcards by hand for hours, you open the map, see the three topics that need you most, and start there with questions and flashcards already generated from your own slides.
Study with answers you can check
The AI tutor is grounded, which means it answers only from your uploaded materials instead of general internet knowledge. Every answer carries citations to the exact document and page behind each claim. Tapping a citation opens the source in context, so any answer that matters for your exam can be verified in seconds, and you never have to take the AI at its word. This changes how you study: rather than memorizing chatbot output, you interrogate your own materials through explanations and follow-up questions, then confirm each point against the page it came from. Students who check citations as they go build exam answers the same way examiners mark them, which is from identifiable sources rather than vague recollection.
Predict the exam from past papers
Exams repeat themselves more than students expect, which is why MOALM AI builds predictions from your past papers. Upload at least three previous exams and each paper is broken into individual questions, with every question mapped to its topic so recurring topics surface with a confidence level you can judge yourself. The result is an ordered focus list: topics that return year after year rank highest, and one-off questions sink to the bottom. You still study the full module, but your limited revision hours go first to the topics with the strongest evidence behind them. As you add more papers over the years, the pattern only gets clearer, turning a pile of old PDFs into the most honest study guide your course has.
Review before you forget
Learning without review fades within days, so MOALM AI schedules each concept to return just before you are likely to forget it. This is spaced repetition: every completed review updates the schedule, solid concepts wait longer, and shaky ones come back sooner. Short, regular sessions replace marathon cramming, and knowledge is still there weeks later when the exam arrives. The loop then closes: your review results feed back into the mastery estimates on your concept map, so the picture of what you know stays honest from the first upload to exam morning. Students who follow the schedule stop deciding what to study each evening, because the plan already knows.