Consultant MSK Radiologist @MWLNHS | Fellowship in MSK Radiology@ SMK Netherlands | MSK Radiologist @ Paris Olympics 2024

Liverpool, England
Joined May 2019
Stopped memory and personalization in ChatGPT and deleted the ChatGPT app, not giving the generative AI scammers my data any more. I just subscribe to newsletters I like now, like @bhavinj , @CafeRoentgen and others.
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Has been a pretty great and productive time. Deleted my FB account long back, and don't have the Insta app. Tried to delete my Insta account recently but couldn't log in through the browser. Got rid of my X blue tick mark, not giving Elon Musk any of my money.
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Getting off algorithm driven social media is the best! Been 2 months since deleting X and Linkedin from my phone, with no social media use except WhatsApp and Telegram. Logging in through my browser just to post this, that friction of not having the app on your phone is necessary
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Dr. Ameya Kawthalkar retweeted
#OnlineFirst: Unraveling the cause of microspurs in spontaneous intracranial hypotension type 1: discogenic origin or calcified Hofmann’s ligament? thejns.org/spine/view/journa…
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⚠️ T-junction injuries of the biceps femoris NEW #Editorial bridging the gap between expert opinion and evidence-based practice 📄 ✅ Read ➡️ bit.ly/438lPE3
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Dr. Ameya Kawthalkar retweeted
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 & painful into EROM flexion MRI - no medial pathology reported - but on closer inspection, subtle medium signal focal change in deep MCL on T1 & T2 (always check the scan yourself) POCUS - obvious large heterotopic calcific deposit in previously injured proximal MCL fibres - Pelligrini-Stieda lesion Video - needle barbotage / fenestration of deposit, finished with a soupçon of CSI 🫰 Post procedure, complete abolition of pain in gym & typical provocative movements ✅ Ultrasound is much better than MRI in identifying calcific pathology (as is plain x-ray)
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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 barrage of “AI will replace radiologists” fear mongering and for radiologists and radiology trainees seeking a distilled overview of the state of radiology AI today and what to expect going forward. Link in 🧵
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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. Radiology creators like @drvenkimdrd @drdevrad @RadiologyVibes @teachplaygrub @bhavinj @msk_munoz @GSERRANOB_MSK @drmankad and countless others across different social media platforms put in hours to make sure verified, high quality radiology education reaches people. Do all those who have clicked like on this post know what's correct and what's not here ? Are all those clicking like even human, and what percentage are bots ? Who is responsible when AI generated false medical educational material (not necessarily obvious as in this case but subtle) has a direct adverse impact on patients? There is a need for something new now, a "post-social media" platform which is not algorithm driven for maximising engagement and likes, and which is not AI slop filled. Towards something where only human creators and their creations are valued.
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Dr. Ameya Kawthalkar retweeted
A new code of AI is born: BeResponsibleAI.com 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 shatter repeated claims of “doctor-level” AI in medicine and give you a reality check! 🇮🇳 The Centre for Responsible Autonomous Systems in Healthcare (#CRASHLab), @KCDH_A @AshokaUniv, India has launched v1 of one of the hardest benchmarks in medicine and we share our results with the world! 1/n
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