Ora AI · Research

The Most Evidence-Based Study Platform in Healthcare Education.

Built on 1.09 billion student-learning data points and validated by the largest MedEd RCT to date.

Last updated June 2026

Multi-institutional RCT · 10-month real-exam follow-up

Ora AI Outperforms UWorld in the First Multi-Institutional RCT of a USMLE Question Bank.

Preregistered, blinded-analysis, multi-institutional trial of 155 medical students. At-risk students improved 2.4× more with Ora than UWorld over the 14-day intervention. At 10-month real-exam follow-up: 100% Step 1 first-attempt pass rate in the Ora arm, and Ora-exposed students scored 11 points higher on first-attempt Step 2 CK.

Read the full trial brief →

USMLE Step 1 first-attempt pass10-mo follow-up

USMLE Step 2 CK first-attempt mean10-mo follow-up

QBank

4 briefs

Mastery trajectories

Medical Students Reach Sustained Topic Mastery in a Median of 10 Encounters on Ora AI's World-First Spaced-Repetition QBank, Validated Across 1.46M Per-Student Topic Records.

+6.9 ppAccuracy gain, encounter 1→10 Spaced repetition

Students Who Fail a Vignette on Ora AI Recover the Concept 80% of the Time Within Three Spaced Variants.

80%Failed concepts mastered within 3 spaced variants Item-bank psychometrics

7,399 Vignette Distractors From Ora AI Exceed All Published Item-Analysis Benchmarks.

82.3%Distractors meeting Haladyna ≥5% threshold Cross-school benchmarks

Cross-School QBank Benchmarks Show How Each School’s Students Compare to 19 Others on Identical Content, System by System.

20 schoolsBenchmarked on identical content

AI

4 briefs

AI safety & grounding

Ora's AI Tutor Answers Medical Student Questions More Accurately than Frontier Models GPT 5.5 (OpenAI), Claude Opus 4.8 (Anthropic), and Gemini 3.1 Pro (Google).

4.5 / 5Contextual relevance (vs 3.5 ungrounded)Curriculum mapping

Faculty and Medical Students Save 15 Hours per Week Using Ora's Curriculum-Aligned AI Across 11,752 Lectures from 161 Schools.

~15 hrReclaimed per week per student AI chat anchoring

Medical Students Anchor 73% of Their AI Questions to Specific Study Materials, Validated Across 11,847 Conversations.

72.5%Of AI questions anchored to study content Content architecture

Ora AI Scaffolds Medical Students using 3.2 Million Context-Dependent Hyper-Specific Micro-Explanation Atoms.

3.24MContext-specific explanation atoms

Flashcards

1 brief

FSRS validation

Ora AI's Proprietary FSRS Algorithm Variant Beats Anki's FSRS across 969,000 Medical Flashcard Reviews, with 98.9% 1-Year Retention.

94.4%Empirical retention (vs 90% FSRS target)

Videos

1 brief

Videos made interactive

Ora AI's Active-Recall Videos Lift QBank Accuracy Up to 4.4 Points on 80,000 Same-Topic Responses.

+2.66 ptsQBank accuracy lift on same-topic items

Games

1 brief

Game-based learning

Game-Based Learning Shows Consistent Effects in Medical Education; Ora AI's Game Engagement Reflects the Same Pattern.

5Meta-analyses + systematic reviews synthesized