ChatGPT Prompts by MEDIROBOT
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🔴CHATGPT / other AI LLM prompts and applications 📲Our YouTube Channel youtube.com/@medirobot96 📲My Twitter x.com/raddoc96
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پستهای کانال
| 2 | fable-5-extreme-use-cases-guide.pdf | 550 |
| 3 | https://youtu.be/_WXtkSvIDJs?si=teE3pal9D5TJ1hg7 | 548 |
| 4 | https://youtu.be/9QaD8Avfu2Q?si=RCNsf-WgBUvN0lxv | 586 |
| 5 |  https://www.anthropic.com/news/fable-mythos-access | 1 281 |
| 6 | https://youtu.be/GUEE9OA4keo?si=-QU52OkqFMRBM_nL | 1 181 |
| 7 |  بدون متن... | 1 167 |
| 8 |  بدون متن... | 1 065 |
| 9 | بدون متن... | 1 |
| 10 |  https://x.com/raddoc96
➡️ Follow me on twitter to get updates and nice AI use cases which will help in your work/study. | 969 |
| 11 | بدون متن... | 1 |
| 12 | Memorisation.pdf | 1 |
| 13 | Memorisation.pdf | 2 636 |
| 14 |  +2🎁The AI Leap Nobody Was Ready For
👇
https://www.oneusefulthing.org/p/what-it-feels-like-to-work-with-mythos?r=i5f7&utm_campaign=post&utm_medium=web&triedRedirect=true
▶️For context
👇
https://en.wikipedia.org/wiki/Claude_Mythos | 1 092 |
| 15 | https://youtu.be/ZN0gkZw-2ks?si=T2aiD_bsOueXRhMH | 2 673 |
| 16 | *A Note on Clinical Safety*
Since we are using a little less intelligent but still capable model, don't rely on it's secondary analysis (after sending two dots) much and will integrate with a highly efficient and intelligent model soon.
This tool is designed to support, not replace, clinical workflows. AI-generated
summaries and modality advice serve as secondary cognitive references to help
save time during report drafting and protocol planning. All clinical profiles
and technical suggestions should be reviewed and verified by a qualified
radiologist before being applied to patient care.
*☯️ Subscribe to our channels for more updates:*
https://whatsapp.com/channel/0029Vb2S2bW0G0Xq94mR721T
https://youtube.com/@raddoc96
https://t.me/raddocs
https://t.me/radiology_chatgpt | 11 |
| 17 | ☯️ Streamlining Pre-Diagnostic Workflow: (Free Clinical Profile Creator Bot)
Planning MRI/CT protocols, reviewing patient backgrounds, and drafting reports often requires piecing together highly fragmented clinical data. Radiologists
frequently have to parse illegible handwritten referral sheets, scattered PDF
reports, patient voice memos, or video clips of scrolled scans.
To help synthesize this information and reduce cognitive load during your busy
shifts, releasing a new Telegram Clinical Profile Bot.
This assistant acts as a private cognitive aid, consolidating unstructured
inputs into organized pre-draft summaries and protocol planning guidelines.
*How This Bot Can Assist Your Daily Practice*
- Synthesizes Messy Inputs into a Single Profile: You can send a mix of prior USG scan images, patient history PDFs, and dictations. The bot compiles them into a single, cohesive, chronological clinical profile. It automatically filters out names, ages, and genders to help maintain patient confidentiality.
- Analyzes Scrolled Videos of Scans: If you receive a video clip of a scrolled CT or MRI scan, the bot can dynamically extract diagnostic frames at adjustable frame rates, allowing the underlying AI to analyze visual scans and clinical data side-by-side.
- Provides Secondary Cognitive Support: By triggering a chained analysis, the bot acts as a planning partner. It evaluates the clinical context and proposes protocol considerations, highlighting potential diagnostic features—ranging from common to rare—that may be relevant to the patient's specific presentation.
- Extracts Quick Reference Cards: Every standard output includes a clean, parsed metadata card (MRN, age, sex, indicated study, and brief clinical history using standard medical abbreviations like H/o, C/o, and K/c/o).
- Strict Privacy-First Architecture: The bot is built with high security in mind. It processes all uploaded clinical media temporarily in-memory and does not store patient images or PDF files permanently on any cloud web server.
*How to Use the Bot (Step-by-Step Guide)*
The bot operates on a simple "Buffer and Trigger" system. It holds your inputs
in a temporary queue until you instruct it how to process them.
Start the bot on telegram
👇
https://t.me/clinical_profile_creator_bot
*Step 1: Upload Your Clinical Context*
Simply send your patient documents directly to the bot. You can upload multiple
items one after the other:
- Images: Photos of clinical sheets, handwritten notes, or prior scan results.
- PDFs: Typed lab reports, pathology findings, or prior imaging reports.
- Audio/Voice Notes: Voice dictations explaining the clinical background.
- Videos: Video recordings of CT/MRI scan scroll-throughs.
- Text: Typed notes containing clinical history or indications.
The bot will acknowledge each item and add it to your temporary queue.
*Step 2: Trigger the Analysis*
Once your files are uploaded, send one of the following short commands as a text
message to initiate processing:
- Send a single dot (.)
Generates a Standard Clinical Profile (Step 1) along with the Quick
Reference Metadata card. (Extracts video frames at a default of 3 frames per
second).
- Send a double dot (..)
Generates a Chained Secondary Analysis. The bot first generates the clinical
profile, then automatically passes that profile to a secondary
expert-radiologist persona to provide modality protocol advice and list
potential findings.
- Adjust Video Frame Rates (.1, .2, .3 or ..1, ..2, ..3)
If your queue contains video files, you can modify the frame extraction
density. For example, sending .1 extracts 1 frame per second (better for
slow-scrolling videos), while .3 extracts 3 frames per second (best for
fast-scrolling videos).
*Step 3: Manage Your Queue*
- /status: Check the number and types of files currently held in your
temporary queue.
- /clear: Clear your temporary queue at any time to start fresh for a new
patient. | 10 |
| 18 | https://youtu.be/QvN6Tu6dHYM?si=F37u9yjUB7RIbrHd | 1 447 |
| 19 | https://youtu.be/po64xavkAHM?si=pU7xFXoRQvYn-OfA | 1 249 |
| 20 | Demis Hassabis on the limit in today’s AI:
language can describe the world, but it cannot contain it - and why "World Models" are his "longest standing passion".
Language models absorbed far more structure about reality from text than many researchers expected, because human language quietly carries physics, psychology, culture, tools, plans, and cause-and-effect.
But text is still a compressed residue of experience, not experience itself.
A sentence can say a cup falls from a table, yet it does not fully encode weight, grip, balance, friction, timing, sound, surprise, or the tiny motor corrections a body makes before it even notices them.
The world is not only made of facts that can be named; it is made of constraints that have to be lived through, touched, predicted, violated, and repaired.
That is why world models matter.
They aim to learn the hidden grammar of physical reality: how objects persist, how forces unfold, how space changes when an agent moves, and how action creates feedback.
Language models can often reason about the world because people have written so much about it.
World models try to learn what the world is like before it becomes words.
The difference is exactly what matters because intelligence is not just answering well; it is knowing what would happen next if you moved, reached, pushed, smelled, slipped, or failed.
A mind trained only on descriptions may become brilliant at explanation.
A mind trained on experience may become better at consequence.
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Full video
https://youtu.be/PqVbypvxDto?si=LeJhlDiT2wdwAQ3E | 1 441 |
