Professor of Clinical AI and Machine Learning @QMUL Interested in computational modelling of disease trajectories from clinical and behavioural data @DERI_QMUL
London, United Kingdom
Joined March 2007
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What an honour! It was truly a privilege to meet His Majesty King Charles III at a reception for leaders and creatives. I also had a great conversation with Prime Minister Starmer, who recalled his time at Queen Mary University of London. An absolutely memorable evening!
Privilege to speak at the #Trauma2030, The Royal College of Surgeons of England @RCSnews, followed by the great honor of receiving the #Faculty #Award!
Venet Osmani retweeted
SESSION 2 | TRANSFORMING TRAUMA
From decoding shock and TOE beyond the heart, to AI & generative models in trauma and scaling success beyond trauma — an outstanding session exploring how innovation is reshaping trauma care.
Chaired by Dr Mamoun Abu-Habsa, featuring Dr Rich Carden, Dr Olusegun Olusanya, Prof Venet Osmani, and Dr Rosena Allin-Khan MP
#Trauma2030 #TransformingTrauma #TraumaCare #HealthcareInnovation
AI #algorithms can infer patients’ #ethnicity from #vital #signs alone! We’ve shown that AI algorithms can figure out patients' ethnicity just by looking at four basic vital signs: heart rate, breathing rate, oxygen levels, and blood pressure.
informatics.bmj.com/content/…
Thanks @natashaloder for providing more context and @EricTopol for picking this up! Whether there's evidence of deskilling is indeed debatable, especially given three months monitoring period after the introduction of AI @QMUL
Venet Osmani retweeted
expert reaction to observational study looking at detection rate of precancerous growths in colonoscopies by health professionals who perform them before and after the routine introduction of AI
sciencemediacentre.org/exper…
It was great to discuss our work on delirium risk prediction in critical care at the Royal London Hospital. I also spoke about the trade-off between clinical utility and model performance. More info: doi.org/10.1093/jamiaopen/oo…
Thanks @drmamoun01 for the intro
Thank you to all our speakers for making yesterday’s AI & Critical Care Clinical Development Day one to remember! 🤖💻📊
We kicked off with a bang thanks to Rob Orwin from Microsoft, who demonstrated how AI, particularly #M365, #Copilot, and #CopilotAgents, has the power to fundamentally transform how we get things done in healthcare.
Followed by AI screening tools for delirium to machine learning in sepsis phenotyping — the day was packed with insight, innovation, and energy.
And we wrapped up with an engaging live demo from Oxford Medical Simulation, showcasing how immersive technology is reshaping medical training.
Looking forward to continuing these conversations and pushing the boundaries of what's possible in critical care.
#AIinHealthcare #CriticalCare #DigitalHealth #ACCESS
POST DOC OPPORTUNITY 📢 📢 📢
I am looking for a Post-Doc in Generative AI and related areas to join my lab at Queen Mary University of London You should have experience with methods such as Autoencoders, GANs or Diffusion Models. Multimodal AI and clinical data is an advantage
This is a unique opportunity to collaborate with the world-leading institutions both in London as well as USA, in one of the top ranked Universities for research.
Deadline: 8 December 2024
How to apply:
qmul-jobs.tal.net/vx/mobile-…
Enormous potential of #GenerativeAI for synthetic #clinical data to mitigate #bias and widen #access to #patient data for clinical #research. My presentation for @turinginst Clinical AI group: youtube.com/watch?v=B7vboQ2-…
Paper describing this work: medrxiv.org/lookup/doi/10.11… with the pdf in: venetosmani.com/publications…
In this work we find that vital signs embed racial information that can be learned by AI algorithms, posing a significant risk to equitable clinical decision-making. Mitigating measures are challenging, considering the fundamental role of vital signs.
AI learns racial information from the values of vital signs medrxiv.org/cgi/content/shor… #medRxiv
I am among the World’s top 2% scientists based on Scopus data, published by Elsevier (doi.org/10.17632/btchxktzyw.…)
Thanks for the invite @ShefHealthspan Enjoyed talking about #GenerativeAI for #clinical data. The details of the talk can be found in our paper venetosmani.com/publications… @InfoSchoolSheff
Can we use AI to generate high fidelity synthetic patients? @venet discusses how this option can improve representation of disadvantaged groups and improve access to clinical data. #HELSImeet2023
ALT Dr Venet Osmani speaking on stage
Our GAN-based generative AI can synthesise authentic, high-dimensional, time series clinical data, outperforming state-of-the-art methods, while avoiding mode collapse (paper: venetosmani.com/publications…)
Generative AI Mitigates Representation Bias Using Synthetic Health Data medrxiv.org/cgi/content/shor… #medRxiv
Venet Osmani retweeted
Sharing our recent article that looks at the changing nature of clinical variables that predict #delirium over time. sciencedirect.com/science/ar…
@venet
Thank you for the invite @nrsi_ks_edu! Looking forward to sharing my research experience in AI for health @Rektorati
🌟 MEET THE SPEAKER! 🌟
We are thrilled to introduce @Venet Osmani, as one of our speakers at the Diaspora Symposium on Computing – Artificial Intelligence Kosovo. 📢
More about the symposium:
nrsi-ks.eu/2023/07/simpozium…
#artificialintelligence #health #diasporasymposium
Funded PhD scholarship to work on the cutting-edge of Machine Learning, Medicine and Social Science, at Healthy Lifespan Flagship Institute (@ShefHealthspan) and @InfoSchoolSheff at @sheffielduni, a world top-100 university
findaphd.com/phds/project/mi…
