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Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography.
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Jan 2023 – Sep 2025Where it's discussed
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AI synopsis
What people are saying
Numerous posts highlight the innovative aspects of Sybil, with contributors noting its ability to predict lung cancer risk based on a single low-dose CT scan. Phrases such as 'mind blowing' and 'revolutionary deep learning model' indicate strong excitement and recognition of Sybil's potential. This positive tone reflects an optimistic outlook on integrating AI in healthcare, as users discuss various applications and the model's importance for personalized screening, signifying the weighty impact the community sees in this research.
The majority of discussions show strong support for the findings of the publication, highlighting enthusiasm and positive responses to the model's capabilities.
Participants express a high level of curiosity about Sybil, with discussions indicating eagerness to learn more about its implications and features.
Many contributors engage deeply with the content, referencing details about its accuracy and clinical applications, suggesting thoughtful consideration of the subject.
The consensus appears to be that Sybil could significantly influence lung cancer screening practices, demonstrated through discussions focusing on its potential benefits in personalized medicine.
Abstract in brief
- Sybil is a deep learning model designed to predict individual lung cancer risk using a single low-dose chest CT scan without needing additional demographic or clinical data.
- The model was developed using data from the National Lung Screening Trial and validated on multiple datasets from different hospitals, showing high accuracy in predicting lung cancer risk over one and six years.
- Sybil’s ability to run in real-time on radiology systems could enhance personalized screening efforts, although further research is needed to explore its clinical applications.
Top posts
Most liked on X and BlueskyReport on deep learning model (Sybil) @JCO_ASCO. With one low dose CT and no clinical data or annotations, predicts lung cancer risk. Concordance index for NLST over 6y was 0.75. Early days but is this the future of personalized cancer screening? https://t.co/0Ns0XCo0XB
3-Bilim insanları, Sybil olarak bilinen bir yapay zeka aracı geliştirdi ve bunu geriye dönük olarak test etti (yaklaşık 27bin olgu; sigara içmeyenler de dahil edildi). https://t.co/apOFrBr8u9
Meet Sybil: a new AI tool that predicts lung cancer risk up to 6 years in advance using just a single CT scan! Developed by researchers at MIT, it’s setting a new standard for early cancer detection. #LungCancer #AI #DataScience https://t.co/TZlE8oIxKK
Thank you so much @teekayowo and Dr. Toni Wozniak for inviting me to speak @UPMCHillmanCC this morning about #LungCancerScreening and Sybil AI algorithm. I really enjoyed chatting w/ everyone!
All mentions
Predicting Lung Cancer Risk with Deep Learning Models
Sybil is a deep learning model designed to predict individual lung cancer risk using a single low-dose chest CT scan. This model shows high accuracy in predicting lung cancer risk over time, enhancing personalized…
MIT researchers develop an AI model that can detect future lung cancer risk | Sybil
AI Tools for Lung Cancer Detection Enhance Early Diagnosis
Artificial intelligence is making significant strides in science and healthcare, particularly in detecting lung cancer. This video explores three AI models from MIT, Google, and Optellum, currently used in clinical…
Sybil is an open-source deep learning model developed to predict the risk of lung cancer (LC) within 6 years using low-dose CT (LDCT) scans from heavy smoker, reaching a C-index of 0.75 to 0.81
*https://t.co/sH0vn3dNPb
https://t.co/UMcn8bFLMx
Regina Barzilay, the founder of Sybil, gives credit to @LeciaSequist for naming it after the prophetess in mythology believed to predict the future. #NLCRT2024 https://t.co/vAqaazw9fh https://t.co/HEQhq3FZTU
RT @selcukorkmaz: Meet Sybil: a new AI tool that predicts lung cancer risk up to 6 years in advance using just a single CT scan! Developed…
RT @selcukorkmaz: Meet Sybil: a new AI tool that predicts lung cancer risk up to 6 years in advance using just a single CT scan! Developed…
RT @selcukorkmaz: Meet Sybil: a new AI tool that predicts lung cancer risk up to 6 years in advance using just a single CT scan! Developed…
RT @selcukorkmaz: Meet Sybil: a new AI tool that predicts lung cancer risk up to 6 years in advance using just a single CT scan! Developed…
Meet Sybil: a new AI tool that predicts lung cancer risk up to 6 years in advance using just a single CT scan! Developed by researchers at MIT, it’s setting a new standard for early cancer detection. #LungCancer #AI #DataScience https://t.co/TZlE8oIxKK
Terrific talk by @F_Fintelmann_MD at #ITSOS2024 on Sybil, which is an AI model that can accurately predict an individual's future #LungCancer risk from a single LDCT scan: https://t.co/iwg5npxs8R https://t.co/goEILgcsjb
Sybil, tek bir LDCT taramasıyla gelecekteki akciğer kanseri riskini tahmin eden bir yapay zeka modeli. Demografik ya da klinik verilere ihtiyaç duymadan çalışıyor ve 1-6 yıl içindeki kanser riskini öngörebiliyor. Çok başarılı sonuçlar vermiş. Okumak için: https://t.co/ZzoRowJJDj https://t.co/5MvqP2J7fE
5️⃣ Sybil: a validated deep learning model to predict future lung cancer risk from a single low-dose chest computed tomography, @JCO_ASCO (2023): https://t.co/xgD2KtYnZQ
Link al paper Modelo basado en aprendizaje profundo (IA) para predecir riesgo futuro de cancer de pulmón a partir de una sola TC de baja dosis presentado en #ATS2024
https://t.co/JZQY7ukNWt
https://t.co/hqdzp35fZq
MIT researchers develop AI tool Sybil to predict lung cancer risk https://t.co/vmwugKRT8Y
Deep learning model for lung cancer risk prediction by #CPH faculty @YalaTweets and colleagues selected by @JCO_ASCO as among 2023's best papers in thoracic oncology. Great honor for pioneering work. https://t.co/rNkoePzdur #AI4H #ML4H
What if we could #predict our future illness? This is what "Sybil" could do, an algorithm predicting future #LungCancer risk from a single low-dose chest CT - according to a study just published here: https://t.co/myXCBNqxIU #Radiology #ArtificialIntelligence https://t.co/prRMei9crN
Model głębokiego uczenia się Sybil potrafiąc precyzyjnie przewidzieć indywidualne ryzyko #rakpłuca na podstawie pojedynczego wyniku badania NDTK, dobiera kandydatów do dalszego spersonalizowanego skriningu https://t.co/0IlCEitUpJ @ASCO https://t.co/B1TzHfRQsb
RT @FerreiraMarion2: A Deep Learning Model to Predict Future Lung Cancer Risk. Great presentation during #ats2023. Only one scan for lung…
A Deep Learning Model to Predict Future Lung Cancer Risk. Great presentation during #ats2023. Only one scan for lung cancer screening ? We need lung cancer screening in France ! @atscommunity @SPLF_SocPneumo @EmmanuelMacron
RT @tipssovetorax: Sybil: un modelo de "deep learning" validado para predecir riesgo futuro de cáncer de pulmón a partir de una sola tomogr…
RT @tipssovetorax: Sybil: un modelo de "deep learning" validado para predecir riesgo futuro de cáncer de pulmón a partir de una sola tomogr…
Sybil: un modelo de "deep learning" validado para predecir riesgo futuro de cáncer de pulmón a partir de una sola tomografía computarizada de tórax de dosis baja https://t.co/aU9vCbL6Oa
RT @williamkellymd: #AI #lungcancers #screening https://t.co/cF8Q4z7ZvU
#AI #lungcancers #screening https://t.co/cF8Q4z7ZvU
RT @JCO_ASCO:
RT @JCO_ASCO:
The others report that the algorithm is available. Do Not miss the video: Deep Learning Based Predictor of Future Lung Cancer Risk https://t.co/Ilafxkczuo via @YouTube
On our #ATSMeded #TechTuesday. Let review the work of P. Mikhael et al, Sybil "A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose ChestCT"was able to predict lung cancer risk up to 94% in 1 year and 80% in 6 years. https://t.co/gk5iPWhnJp https://t.co/kyQp4NVih5
@MarkMcGrathCFP https://t.co/P8EhPTmJZV
“Sybil can accurately predict an individual's future lung cancer risk from a single LDCT scan to further enable personalized screening.” https://t.co/0UnGj7pD5I
Learn more about Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography https://t.co/TO1x4hJc8V
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography https://t.co/QbWu11l6ne
RT @dad_zibao: « Sybil can accurately predict an individual's future lung cancer risk from a single LDCT scan to further enable personalize…
« Sybil can accurately predict an individual's future lung cancer risk from a single LDCT scan to further enable personalized screening. » #MachineLearning #MIT Prédiction du cancer du poumon, jusqu’à six ans avant la maladie. Impressionnant❗️
Some weekend journal reading and #DeepLearning with CT scans can predict #lungcancer years in advance. This is the #DecadeOfDiscovery. #AI #AIinHealthcare #aiforgood https://t.co/dayfz6U570
RT @AIHealthMIT: ICYMI: https://t.co/o8Vq3lw5Bh
ICYMI: https://t.co/o8Vq3lw5Bh
https://t.co/qoyNaS0rI6
RT @paradoxed: This is mind blowing! Sybil, a revolutionary deep learning model can predict an individual's future lung cancer risk with as…
This study tested a deep learning algorithm for predicting lung cancer risk, up to 6 years in the future, with one low-dose CT scan. https://t.co/jJYg7VdNVi
This is mind blowing! Sybil, a revolutionary deep learning model can predict an individual's future lung cancer risk with astonishing accuracy from just ONE scan! This is what happens when AI and medicine come together. Source: https://t.co/pO4L3Bzk3T https://t.co/16wF5tozVO
https://t.co/wWFksfkpQ1
(7) Sybil: AI model for lung cancer early detection>https://t.co/HQEByDGYL1 (8) Breast Cancer Detection Methods using Image Processing with Data Mining Techniques>https://t.co/6CXKSYGhpv https://t.co/Xm8rOv38RL
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography https://t.co/ef57NmHLX8 https://t.co/ml85Qb6JUr
Thank you so much @teekayowo and Dr. Toni Wozniak for inviting me to speak @UPMCHillmanCC this morning about #LungCancerScreening and Sybil AI algorithm. I really enjoyed chatting w/ everyone!
RT @AIHealthMIT: that can assess a patient's risk of lung cancer up to 6 yrs in advance by analyzing a patient's LDCT scan. The tool has th…
RT @rajamanickam_a: MIT researchers develop an AI model that can detect future lung cancer r... https://t.co/lgEIgJBbuJ via @YouTube
RT @RoyalVoxPost: #Oncology #Bioinformatics: scientists developed a deep learning method to predict lung cancer risk from low-dose chest co…
RT @Marktechpost: MIT Team Introduces Sybil: A Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed…
MIT Team Introduces Sybil: A Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography Quick Read: https://t.co/8HGIr2imDJ Paper: https://t.co/WxRSNPO4xR #ArtificialIntelligence #artificalintelligence #ai #Health
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography https://t.co/cpQZ3IO5x5
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography | Journal of Clinical Oncology https://t.co/zvaNX8ZZ1u
Bourgouin, PuiYee Chan, Sofiane Mrah, Wael Amayri, Yu-Hsiang Juan, Cheng-Ta Yang, Yung-Liang Wan, Gigin Lin, Lecia V. Sequist, Florian J. Fintelmann, and Regina Barzilay Journal of Clinical Oncology https://t.co/OMY8TY9kTJ
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography Peter G. Mikhael, Jeremy Wohlwend, Adam Yala, Ludvig Karstens, Justin Xiang, Angelo K. Takigami, Patrick P.
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography https://t.co/Wk4AptfRty
Abstract title says it all: "A Validated #deeplearning Model to Predict Future #LungCancer Risk From a Single Low-Dose Chest Computed Tomography" @ASCO #AI #aiinhealthcare #imaging #ctscan #aiforgood #cancer https://t.co/dayfz6UCWy
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography | Journal of Clinical Oncology https://t.co/A6rAGQXbWn
#Paper | Sybil: A Validated Deep Learning Model to Predict Future #LungCancer Risk From a Single Low-Dose Chest Computed Tomography Access the entire article here
A very interesting read. Sybil is and a deep learning model that can gather collective biology from the CT scan images and predict the risk of lung cancer. This can provide personalised assessments for follow ups for each patient . https://t.co/zCPafW4xEJ
MIT researchers develop an AI model that can detect future lung cancer risk https://t.co/tesdmEdm7d via @YouTube #lungcancer
RT @rajamanickam_a: MIT researchers develop an AI model that can detect future lung cancer r... https://t.co/lgEIgJBbuJ via @YouTube
MIT researchers develop an AI model that can detect future lung cancer r... https://t.co/lgEIgJBbuJ via @YouTube
RT @TechXplore_com: Researchers develop an AI model that can detect future #lungcancer risk @MIT https://t.co/gQuRLUNdXh https://t.co/KxnZj…
RT @TechXplore_com: Researchers develop an AI model that can detect future #lungcancer risk @MIT https://t.co/gQuRLUNdXh https://t.co/KxnZj…
Researchers develop an AI model that can detect future #lungcancer risk @MIT https://t.co/gQuRLUNdXh https://t.co/KxnZj9ioXl
that can assess a patient's risk of lung cancer up to 6 yrs in advance by analyzing a patient's LDCT scan. The tool has the potential to help high-risk patients receive treatment earlier before the disease has the chance to spread throughout the body. https://t.co/c2chVKeFGY 2/2
RT @ilyassahinMD: T:
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography https://t.co/WDT4M5hYMW
Promising #AI #lungcancer risk prediction model Major challenge for AI medicine is how to rapidly bridge the gap from research to wide patient practice that improves outcomes. https://t.co/XYVeTqRXNl
RT @ilyassahinMD: T:
RT @ilyassahinMD: 3-Bilim insanları, Sybil olarak bilinen bir yapay zeka aracı geliştirdi ve bunu geriye dönük olarak test etti (yaklaşık 2…
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography | Journal of Clinical Oncology https://t.co/2q4UVcwpqD
RT @ilyassahinMD: T:
RT @ilyassahinMD: T:
RT @ilyassahinMD: T:
3-Bilim insanları, Sybil olarak bilinen bir yapay zeka aracı geliştirdi ve bunu geriye dönük olarak test etti (yaklaşık 27bin olgu; sigara içmeyenler de dahil edildi). https://t.co/apOFrBr8u9
T:
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography Predicts lung cancer over 6 years with concordance-index of ~0.8
RT @ajitjohnson_n: Researchers develop an AI tool that accurately predicts the risk of lung cancer in individuals with or without a signifi…
RT @StephenVLiu: Report on deep learning model (Sybil) @JCO_ASCO. With one low dose CT and no clinical data or annotations, predicts lung c…
RT @StephenVLiu: Report on deep learning model (Sybil) @JCO_ASCO. With one low dose CT and no clinical data or annotations, predicts lung c…
RT @StephenVLiu: Report on deep learning model (Sybil) @JCO_ASCO. With one low dose CT and no clinical data or annotations, predicts lung c…
RT @StephenVLiu: Report on deep learning model (Sybil) @JCO_ASCO. With one low dose CT and no clinical data or annotations, predicts lung c…
RT @StephenVLiu: Report on deep learning model (Sybil) @JCO_ASCO. With one low dose CT and no clinical data or annotations, predicts lung c…
RT @StephenVLiu: Report on deep learning model (Sybil) @JCO_ASCO. With one low dose CT and no clinical data or annotations, predicts lung c…
Why are we still reporting results and publish papers in high impact journals without reporting the entier confusion matrix. How do we know if the model is useful or not just from reporting AUC on very skewed data. #AI https://t.co/OevRuhdifp
RT @StephenVLiu: Report on deep learning model (Sybil) @JCO_ASCO. With one low dose CT and no clinical data or annotations, predicts lung c…
RT @StephenVLiu: Report on deep learning model (Sybil) @JCO_ASCO. With one low dose CT and no clinical data or annotations, predicts lung c…
Report on deep learning model (Sybil) @JCO_ASCO. With one low dose CT and no clinical data or annotations, predicts lung cancer risk. Concordance index for NLST over 6y was 0.75. Early days but is this the future of personalized cancer screening? https://t.co/0Ns0XCo0XB
RT @ESTI_Society: 3-second CT scan for 6-year prediction of lung cancer: will this be helpful to further stratify the risk of lung cancer b…
3-second CT scan for 6-year prediction of lung cancer: will this be helpful to further stratify the risk of lung cancer beyond smoking habit? https://t.co/o5upjZ8S4Q
RT @AIHealthMIT: assess a patient's risk of lung cancer up to 6 yrs in advance, which is crucial to early detection & higher survival rates…
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography | Journal of Clinical Oncology https://t.co/rf9W2drIQS #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning #ComputerVision
RT @LeciaSequist: Excited to share Sybil, an algorithm to assess personalized risk for #LungCancer from 1⃣ chest CT. Hopeful that w additio…
RT @LeciaSequist: Excited to share Sybil, an algorithm to assess personalized risk for #LungCancer from 1⃣ chest CT. Hopeful that w additio…
RT @ajitjohnson_n: Researchers develop an AI tool that accurately predicts the risk of lung cancer in individuals with or without a signifi…
assess a patient's risk of lung cancer up to 6 yrs in advance, which is crucial to early detection & higher survival rates. Read more about this amazing cross-collaborative effort & groundbreaking work just published in @JCO_ASCO: https://t.co/c2chVKeFGY 3/3
RT @LeciaSequist: Excited to share Sybil, an algorithm to assess personalized risk for #LungCancer from 1⃣ chest CT. Hopeful that w additio…
RT @ajitjohnson_n: Researchers develop an AI tool that accurately predicts the risk of lung cancer in individuals with or without a signifi…
RT @ajitjohnson_n: Researchers develop an AI tool that accurately predicts the risk of lung cancer in individuals with or without a signifi…
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose C... https://t.co/yu3wTe9uCH #ai #ml #dl
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography https://t.co/hDhrzWYgW5