Dr. Ameya Kawthalkar
@ASK_MSK
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Consultant MSK Radiologist @MWLNHS | Fellowship in MSK Radiology@ SMK Netherlands | MSK Radiologist @ Paris Olympics 2024 | Medical AI
Liverpool, England
Joined May 2019
How I built a radiology AI model with zero coding experience: I am a complete noob at coding and AI. 6 months ago I did not know what Google Colab was. The only AI I have used in clinical practice was to translate MRI and ultrasound reports into French and Spanish for athletes
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#OnlineFirst: Unraveling the cause of microspurs in spontaneous intracranial hypotension type 1: discogenic origin or calcified Hofmann’s ligament? https://t.co/ucN57ZVorE
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TODAY: Stop by Flatiron Public Plaza to learn about Grayscale CoinDesk Crypto 5 ETF (Ticker: $GDLC) and the underlying tokens. Bitcoin Ethereum $SOL $XRP $ADA We’ll be sharing how $GDLC streamlines crypto exposure and giving attendees a limited-edition Grayscale Speedcube to
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⚠️ T-junction injuries of the biceps femoris NEW #Editorial bridging the gap between expert opinion and evidence-based practice 📄 ✅ Read ➡️ https://t.co/XH42SCEaCk
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Consent ✅ Footballer - ACL recon & MCL tear 12 months ago Uneventful rehab process & RTP ...... but then developed focal pain over medial joint line & restricted flexion Sore on side passing & cutting / change of direction drills OE - Palpation pain at proximal MCL Stiff &
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My article "Should I have become a radiologist? The hype versus reality of radiology AI, AI in general and the road ahead" . It is based on my recent talk for @REF_INDIA with a few additions. It is intended for medical students considering a career in radiology but facing a
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Came across this AI generated 'educational' radiology post which is just plain wrong but has thousands of likes across X and Insta. We are living through the death of traditional social media, hastened by AI slop which is now apparently coming for medical educational posts.
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A new code of AI is born: https://t.co/8oB1YAiaRc Don’t just code! Code responsibly!! AI ideas are launched fast- few are launched responsibly #BeResponsibleAI changes that its a #movement. It’s the world’s first Responsible AI chat that evaluates your AI idea across 5 pillars.
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🚨 Just published! All frontier AI models have failed “Radiology’s Last Exam” - the toughest benchmark in radiology launched today! ✅ Board-certified radiologists scored 83%, trainees 45%, but the best performing AI from frontier labs, GPT-5, managed only 30%. ❌ These results
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Every marketing leader I talk to is facing the same challenge: Scale 📶 The demand for content has exploded, but the systems behind it haven’t kept up. Teams are expected to launch more campaigns, in more markets, with more data, all while maintaining brand integrity and speed.
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For the upcoming REF AI in Radiology course, we decided to give a part of the course learning material as a prompt. This keeps the learning dynamic and personalised for each delegate as per their understanding of AI. Delegates enter a prompt in their favourite large language
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Pearl: A buckle fracture involves only one cortex and is usually stable. Pitfall: If fracture line extends through both cortices, even with cortical buckling, it’s a complete fracture. Don’t undercall it as a buckle. Wisdom: One cortex buckled = buckle (incomplete). Both
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Interesting how an open source CPU native ASR model would solve a lot of issues in healthcare like excessive workload on doctors and ever increasing waiting lists. Am currently building a medical transcription solution to help our overworked NHS doctors. A local, free, open
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It cannot be called a superintelligence / AGI if it forgets about a medical case if you chat with it about multiple cases for half an hour in the same context window and jumbles things up. Or if you have to reset it's memory every short while and explain the patient's symptoms
Most people misunderstand what superintelligence really is. Recent papers (including a big announcement from a frontier tech company) have even started claiming “medical superintelligence.” Umm, sorry to break the hype… training a model on the entire internet and then
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3 projects for radiologists interested in learning AI to get started: The best way to learn something is by doing it. Rather than reading too much theory at the start, the best way is to start creating your healthcare app or training your model and then read the relevant
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As if to prove my point, recently came across OmniMRI, am MRI foundation model from Harvard announced this week and supposed to report any MRI. Let's ignore the upside down images of the MRI brain and coronal MRI knee published on arxiv. The model's answers they have chosen to
I have been testing Google's new image model nano banana and it is not working with medical images. It fails to annotate even simple structures on chest x-rays. The same with GPT5. This highlights a fundamental issue in AI for medical imaging and allow me to cut through the hype
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My two apps built in Replit (before I started reading about UI design): https://t.co/A2gSY3gWwZ
https://t.co/1Pl9RxUjdK
wilhelmai.net
Free and Open Source AI Agent For Medical Imaging Reporting - AI-powered dictation and spell correction for medical imaging reports.
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As a doctor building AI based applications for doctors and patients, I am not sure if one needs to learn frontend (user interface) programming anymore. I found reading about design, colour theory, contrast, fonts, hierarchy very helpful. This is to avoid the generic UIs built by
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I have been testing Google's new image model nano banana and it is not working with medical images. It fails to annotate even simple structures on chest x-rays. The same with GPT5. This highlights a fundamental issue in AI for medical imaging and allow me to cut through the hype
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Happy to share my experience at the Paris Olympics 2024 as an MSK radiologist, along with imaging of common injuries in Olympic and Paralympic athletes. This Sunday 31st August with the @REF_INDIA
@CafeRoentgen webinar.
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