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Prajwal Ghimire
@PrazNeuro
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🧑⚕️Neurosurgery @kingsneuro | PhD’26 @KingsImaging #BrainCancer #AI #genomics | Alumni @NHSLeadership @kclalumni | Ambidextrous | Investor | Author 🇳🇵🇬🇧
London, UK
Joined March 2012
“🚨 Podcast 🚨” Dive deep into the world of neuro-oncology with ‘Neuro-oncology Talks | The Deep Dive.’ Explore groundbreaking research, AI in medicine, and the future of brain tumor treatment. 🎙️ Listen now: #NeuroOncology #CancerResearch #AIInMedicine
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Talking tomorrow on “Leveraging AI for healthcare setting in LMIC focussing on 🇳🇵” Join via the link! @NepalEmbassyUK @NDA__UK @MoEST_Nepal @WHOSEARO @mohpnep @MOHPnepal
Joint Webinar by Nordic Nepalese Medical Society and @NDA__UK 12:45 GMT 13:45 CET 9th February, 2025 Speakers 🔊: @PrazNeuro @BishowBekhyat @docdondons ! Join via zoom ! Everyone welcome to attend ! @NepalEmbassyUK @mohpnep @UKinNepal
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🚀 Thrilled to have presented my updated PRECISE-GBM AI model at the Global AI Conference 2025 by @RCRadiologists. 👉 integrates radiomics & genomics to predict immune signatures in #glioblastoma Pushing the boundaries of AI in neuro-oncology! 🧠🔬 #AI #braintumor #precise
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#AI model identifies and auto-segments #spinal cord lesions on MRI 👉automatically extracted clinically relevant lesion characteristics 👉MRI-biomarkers associated with neurologic prognosis in #SCI Paper: Model: #openaccess
Open source #DeepLearning tool automatically segments the spinal cord and intramedullary lesions on T2-weighted MRI scans @ValosekJan @DarioPfyffer @jcohenadad #OpenSource #NeuroRad #MachineLearning
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#AI model identifies intracranial #aneurysms in CT Angiograms autonomously published @Radiology_AI by Yang et al. Model: uuU-net based Integrated DL algorithm n= 1182 patients Accuracy: 97% 👉assist in morphologic analysis of UIAs
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🎆 Welcomed 2025 with London’s iconic fireworks, viewed from @KingsNeuro @KingsCollegeNHS . A reminder that dedication and hard work light the path to growth and new beginnings. Here’s to learning, serving, and thriving in 2025! #NewYear #Dedication #WorkEthic #LifeGoals
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RT @Project2Program: @PrazNeuro Thank you @PrazNeuro. I look forward to further exploring #NeuroOncology Navigator in ChatGPT. #BTSM I di…
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5/5 🌟 Revolutionize Your Brain Research with AI! 🌟 🧠 Neuro-Oncology Navigator 🗺️ Brain Atlas Companion 🔪 Neurosurgery Guide 🧬 Brain GPT 🔗 Empower your practice, research, and learning with AI! #Neuroscience #AIForGood
@The_SBNS @EANSonline50 @AANS @BNOSofficial
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#AI model predicts prognostic subgroups within #glioblastoma in a multicentre study by #ReSPOND #Consortium @NeuroOnc . 👉2,838 demographically diverse patients 👉stratified into favorable, intermediate, and poor prognostic subgroups (I, II, III)
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#AI model predicts clinical cauda equina syndrome from MRI images published @EurSpineJournal by Sun et al. 👉for safely reducing the number of emergency MRI scans by over 95% 👉in triaging patients with suspected CES Model: IBk classifier Paper:
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#AI model predicts high grade glioma progression using metabolic signature from MR spectroscopy Paper published in @JNeurooncol by Rivera et al. Model: Gradient Boost Paper: GUI: #AI #glioma #braintumor
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@BasselZebian @KingsIoPPN @KingsCollegeLon @KingsGHI @kingshealth @KingsCollegeNHS @kingsmedicine @PaedsNeurosurg Congratulations Mr Zebian. Well deserved indeed!
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TMS-EEG is a promising tool for personalized neurosurgical care. Its potential applications in mapping brain functions, localizing epileptic foci, and understanding tumor interactions could revolutionize surgical planning and outcomes. ✍️My Illustrations summarises the concept.
We have published a concept paper on "Transcranial Magnetic Stimulation–Electroencephalography (TMS-EEG) in Neurosurgery: Unexplored Path Towards Personalized Brain Surgery" @MDPIOpenAccess JPM. @lavrador_jose @AsfandBm @PrazNeuro @feras199 @Sabzp87
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#AI model predicts long-term facial nerve #FN outcome after vestibular schwannoma #VS surgery in paper published in @JNeurooncol by Przepiorka et al. Model: XGBoost Classifier Accuracy: 83% Paper:
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AI model predicts intraoperative 5-ALA fluorescence in gliomas lacking typical high-grade MRI features from Molina et al in @JNeurooncol. Model: variational auto-encoder and RF classifier Accuracy: 80% Paper: #AI #glioma #5ALA #flourescence #LGG
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AI model identifies Glioma infiltration in seconds during surgery from fresh surgical tissue @Nature from teams @NeurosurgUCSF @umichneuro. Model: Visual Foundation Model "Fastglioma" Link: Paper: Summary in my podcast 👆
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#AI model identifies real-time anatomical structures during endoscopic pituitary surgery! @npjDigitalMed 👉potential to augment surgical education and as an intra-operative decision support tool. Model: Paper: 👏@hani_marcus
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