How to use the voice chat feature in AI Lecture Notebook to interrogate your uploaded material like a personal tutor

By dendritichealth

Published: 11/25/2025

Medical students often wish they had a personal tutor sitting beside them, ready to clarify confusing mechanisms, explain complex pathways, or walk them through clinical reasoning on demand.

Medical students studying collaboratively using tablets in a library setting, focused on interactive learning.

The voice chat feature inside the AI Lecture Notebook brings that experience into reality by letting you speak to your uploaded lectures, notes, and summaries as if they were a living, interactive teacher. When your content lives inside NeuralConsult, you can learn by talking aloud, asking follow up questions, and drilling topics in a natural conversational flow that reinforces memory much more effectively than silent reading.

This voice driven method mirrors how students traditionally learn with mentors or senior clinicians, and it blends the structure of your real curriculum with the fluidity of oral teaching. Here’s how to use it to maximize understanding and retention.

1. Upload your lectures first so the voice assistant knows exactly what you’re studying

The voice system inside the AI Lecture Notebook works best when you’ve uploaded your slides, PDFs, and handouts into the notebook or into the linked File Drive. Once the platform digests the material, it can answer questions that are tied specifically to your professor’s exact framing and your course’s sequence. This creates a tutoring experience that feels similar to asking a senior resident to explain your lecture notes, not just reciting generic textbook facts.

Uploading early in the year makes the voice tutor smarter with each new lecture you add, giving you a personalized learning companion that evolves with your course.

2. Start asking questions aloud just as you would with a real tutor

When you tap the mic inside the AI Lecture Notebook, you can interrogate your content using natural speech. You can say things like:

  • “Explain the renin–angiotensin system the way my professor meant it.”
  • “Why is the P wave absent in atrial fibrillation again?”
  • “Summarize this lecture like I’m five years old.”
  • “Walk me through how this pathway shows up in OSCE cases.”

Because the voice assistant is drawing from your actual uploads, it can adjust its explanations to match how the topic was presented in your course. This creates a much closer parallel to how platforms like Osmosis or AMBOSS simplify content, except the simplification is applied specifically to your own lecture material.

3. Use conversational follow ups to deepen your understanding

The power of this feature lies not in your first question, but in your second and third. When you ask follow ups inside the AI Lecture Notebook, the AI keeps track of context so you can shape the explanation until it truly makes sense. You might follow up with:

  • “Explain that again but slower.”
  • “Compare that mechanism with the one from my cardiology lecture.”
  • “Give me a clinical example where that matters.”

This style of iterative questioning mirrors the Socratic method used in clinical teaching environments and is one of the fastest ways to convert passive notes into usable, long term knowledge.

4. Turn voice explanations into flashcards or practice questions

After speaking with the system, you can convert its explanations directly into active recall tools. If the voice tutor gives a good breakdown of a mechanism or process, you can send it directly to Flashcard Hub or generate a related question inside the Question Generator. This transforms each tutoring session into future spaced repetition material that strengthens memory over weeks and months.

This workflow echoes the evidence based practices used across learning science research and in tech driven study platforms like Anki, but here everything is tied back to your actual lecture content.

5. Use the voice chat to rehearse OSCE style verbal reasoning

Because OSCEs often require clear verbal explanation of signs, differentials, and diagnostic reasoning, you can practice speaking through your logic with the notebook’s voice feature. After summarizing a lecture inside the AI Lecture Notebook, ask the system to challenge you verbally, then walk through your reasoning aloud. You can even bridge this into clinical scenario building using the OSCE Simulator, which reinforces what you learned through spoken application.

This creates a training loop similar to what students experience when using oral examination tools or clinical case libraries like Geeky Medics, but built directly from your lecture uploads.

6. Treat the voice assistant like a learning companion during commutes and downtime

Hands free learning is one of the biggest advantages of the voice chat tool. Because your lectures live in the AI Lecture Notebook, you can review concepts while walking to class, sitting on public transport, or doing chores at home. Just ask the notebook to explain topics, test you, or summarize sections aloud.

This lets you turn idle time into micro learning sessions, similar to how students use podcast style study aids or mobile resources like ClinicalKey Student on the go.

Conclusion

Interface of the AI Lecture Notebook displaying a summary of an uploaded PDF titled 'Acute Leukemia (AML).pdf', including key topics and options for audio playback.

Using the voice chat feature inside the AI Lecture Notebook turns your uploaded material into a responsive tutor who teaches, questions, and clarifies your lectures exactly when you need it. Instead of struggling alone with dense PDFs, you can speak to your notes, drill your knowledge verbally, and convert explanations into active recall tools that feed directly into your full study ecosystem.

Neural Consult provides this seamless integration so your lectures become interactive, conversational, and clinically aligned from the moment you upload them.

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