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Amar UdareFeb 21, 2026

Gyanibot: Your AI Radiology Assistant 🤖

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Gyanibot: Your AI Radiology Assistant 🤖

Amar Udare·Feb 21, 2026

Discover Gyanibot, your AI-powered radiology assistant designed to save you time and enhance your learning. This tool can generate reporting templates, answer specific radiology questions, summarize articles, aid in exam preparation with model answers and diagrams, and detail imaging features of pathologies. It uses verified data from radiology articles and websites, offering a reliable alternative to general AI chatbots.

Chapters

00:01

Introducing Gyanibot

00:44

Gyanibot Features Overview

01:16

Reporting Templates

02:16

Specific Radiology Questions

02:47

Article Summaries

04:53

Exam Preparation Answers

07:01

Imaging Features

07:51

Development and Cost

Transcript

00:00

What if I told you that you can save at least 30 minutes every day using this advanced AI chat?

00:08

In this video, I will demonstrate Gyanibot, your personal AI-powered smart radiology assistant.

00:14

So radiology questions can be complex, and Google searches and other AI chatbots, they don't have that context of radiology.

00:24

So instead of doing that, you can use Gyanibot for all your radiology queries during residency and even during your practice.

00:34

So what can Gyanibot do?

00:36

It can generate templates, it can answer specific radiology questions, it can generate Summaries of articles.

00:44

You just upload a PDF and that will give you the brief learning points.

00:47

It can help you in exam preparation, can provide you model exam answers, and it can also provide you, diagrams.

00:54

Like, it'll also suggest you diagrams for that particular question.

00:58

And then finally, it can provide you details about imaging features of a particular pathology.

01:03

Let me demonstrate you a few of these.

01:05

So let's start with reporting templates.

01:07

So let's say if I want MRI brachial Plexus reporting template.

01:11

So the advantage of this bot is that it will not hallucinate, so it will not create random information.

01:18

the data that it's using is based on radiology articles, peer-reviewed radiology websites, so everything here is verified.

01:28

So that is the advantage over something like ChatGPT, which can give you wrong answers with confidence.

01:35

So let's look at our template here.

01:37

So, this is a brief template.

01:38

It talks about clinical indication, technique, and then it gives you this template which you can copy paste.

01:44

It also gives you some placeholders which you can use.

01:47

And then in addition, so you can ask for a search pattern.

01:51

So if I ask it, it will give me a search pattern.

01:54

So let me demonstrate the next question.

01:56

So let's say, I have a specific question.

01:58

Let's say, what is the most common elbow dislocation— I've asked it a specific question, so it'll search its database of radiology journals and peer-reviewed articles and give you that precise answer.

02:15

So most common elbow dislocation is posterior dislocation.

02:19

The next feature we have here is articles.

02:21

So I'm going to upload this article about arbital lesions.

02:25

So as long, to make sure that the system is not abused, the limit set for PDFs is 5 MB.

02:32

So most articles are within 5 MB.

02:35

If there is demand, we can think about increasing the limit, but currently it's set to 5 MB.

02:40

So I'm going to say I've uploaded this article.

02:42

Please summarize key learning points.

02:47

So it'll go and analyze this article and, provide key learnings so that's the article there.

02:53

And then it talks about key learning points from that pathology, talks about specific imaging features, and then, This was a brief overview, so we can say that, elaborate on these imaging pathologies.

03:08

So because we asked it for a brief overview, it gave us brief overview.

03:11

Okay, so let's attach this article again.

03:14

Okay, so I've asked it to share a brief overview of this article for exam.

03:17

So it's going to analyze this article and prepare a detailed overview for, quick review for the exam.

03:24

So that's that.

03:25

And then, what else?

03:26

So it also will— because it's a big article, it's taking its time to analyze the data.

03:33

Okay, so let's— so this is what we— I was expecting.

03:36

Okay, so it starts with the optic nerve sheath complex.

03:39

It talks about, the key anatomy, optic neuritis.

03:44

so it summarized that detailed article into these short snippets which are easy to remember.

03:49

So that's what, it did.

03:50

So let's say if you are preparing for your exam, the next feature is, preparing ideal, answers for your board exams.

03:57

So let's say, me— provide me a model answer for imaging of orbital pathologies.

04:06

So this will prepare a detailed answer.

04:09

The other advantage, or the other thing that I've coded in, is it feels that the instructions are not clear, or if it wants further clarifications, it will ask you specific questions.

04:21

For example, here, it wants us to give it a it is asking if we, want a broad overview or if there's a particular aspect.

04:30

So we'll say that a broad Overview of orbital pathologies radiology.

04:37

So again, it is going to go back to peer-reviewed articles, take its time, and generate a model answer, which you can, use for exams.

04:47

The advantage again is that instead of searching for information in multiple articles, what this does is summarizes them for you.

04:54

And obviously you can tweak each if you don't like an answer, you can tweak it or you can specify what extra would you want from it.

05:01

So it gives us a brief overview and it talks about imaging modalities and roles.

05:06

So it's a very nice way of presenting this article, exactly what examiners would want you to, do.

05:12

So it gave compartments to the orbits based on that article there.

05:15

You don't have to give that But, that's what it did.

05:19

And then in the end, it talks about testable facts and key giveaways.

05:24

And then, so yeah, so that's about this section.

05:28

And then finally, let's say I want just learn about imaging features, imaging features of thyroid ophthalmopathy.

05:36

So it's going to give me, specific imaging, specific findings for this.

05:40

So first gives us a brief overview of the key points.

05:44

So if you are in a hurry, you can just remember these, few points.

05:48

And then again, it gives us a detailed review, in the classic format that we use for other features and like for other snippets on the website.

05:58

So it talks about imaging in different modalities and then differentials.

06:02

So this is a very powerful bot.

06:06

It has taken me a lot of time to build this just to make sure that it has all the features and it gives you high-quality data that you can rely upon.

06:17

This is included in the membership at no extra cost.

06:22

I am going to bear all the costs that these AI models are using.

06:26

So instead of buying a new subscription and learning how to prompt and how to get answers, I I am taking care of so you can focus on your learning.

06:35

As always, feedback is welcome.

Gyanibot: Your AI Radiology Assistant 🤖 — Tella