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Discussions around the article reflect positive reception, emphasizing the innovative use of deep learning on chest radiographs to detect diabetes, as seen in comments mentioning AI's potential for 'early detection' and 'revolutionizing screening.' Words like 'amazing,' 'game-changer,' and references to the study’s methodology demonstrate enthusiasm and recognition of its potential impact.
Most discussions are positive about the potential of deep learning for early diabetes detection, with many expressing excitement about the study’s findings and implications.
There is high interest, evidenced by enthusiasm for AI techniques and their application in medical imaging, highlighted by phrases like 'Amazing how deep learning can raise suspicion' and 'revolutionizing screening and preventive care.'
Posts show active participation through sharing insights, commenting on the methodology, and referencing related concepts, indicating a moderate level of engagement.
The discussions suggest the research could significantly impact diabetic screening practices, with comments about AI 'revolutionizing' diagnosis and linking models to real-world improvements.
I remember when we were looking at chest X-rays and jokingly pretending that we could tell if the patient is diabetic. Who could tell? Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs | Nature Communications https://t.co/5kanheOgEL
Our new study in Nature Communications addresses the surging issue of type 2 diabetes. We've found BMI unreliable, but AI-identified adiposity measures promise more accurate T2D prediction, possibly revolutionizing screening and preventive care. See how: https://t.co/BzUQu2xyUO
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs https://t.co/qTKvDZI2Sw via @AyisPyrros et al Any comments @RogueRad @DrHughHarvey ?
https://t.co/HeCulzEZcU Great to be part of this paper from Dr Pyrros. https://t.co/z2jeg6iI0l. @Diabetes_UIC
Amazing how deep learning can raise suspicion for diabetes from chest radiographs! Learn how in this article https://t.co/gFBdie2WEk from @Ayis Pyrros and team, with @Jeanne_Horowitz and @NikolaidisMD #WorldDiabetesAwarenessDay #DiabetesAwarenessMonth
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs https://t.co/MOFKOzg5MS https://t.co/Di4X15B90o
This study developed a deep learning model combining chest X-ray images and electronic health records to detect type 2 diabetes, achieving high accuracy and demonstrating potential for opportunistic screening using…
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs https://t.co/N48FWfz0Hr
Amazing how deep learning can raise suspicion for diabetes from chest radiographs! Learn how in this article https://t.co/gFBdie2WEk from @Ayis Pyrros and team, with @Jeanne_Horowitz and @NikolaidisMD #WorldDiabetesAwarenessDay #DiabetesAwarenessMonth
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs https://t.co/6zc4fjYnSJ #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning #ComputerVision #AutonomousVehicles #NeuroMorphic #Robotics
RT @IM_Crit_: I remember when we were looking at chest X-rays and jokingly pretending that we could tell if the patient is diabetic. Who co…
RT @IM_Crit_: I remember when we were looking at chest X-rays and jokingly pretending that we could tell if the patient is diabetic. Who co…
RT @IM_Crit_: I remember when we were looking at chest X-rays and jokingly pretending that we could tell if the patient is diabetic. Who co…
RT @IM_Crit_: I remember when we were looking at chest X-rays and jokingly pretending that we could tell if the patient is diabetic. Who co…
RT @IM_Crit_: I remember when we were looking at chest X-rays and jokingly pretending that we could tell if the patient is diabetic. Who co…
RT @IM_Crit_: I remember when we were looking at chest X-rays and jokingly pretending that we could tell if the patient is diabetic. Who co…
RT @IM_Crit_: I remember when we were looking at chest X-rays and jokingly pretending that we could tell if the patient is diabetic. Who co…
I remember when we were looking at chest X-rays and jokingly pretending that we could tell if the patient is diabetic. Who could tell? Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs | Nature Communications...
I remember when we were looking at chest X-rays and jokingly pretending that we could tell if the patient is diabetic. Who could tell? Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs | Nature Communications https://t.co/5kanheOgEL
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs | Nature Communications 利用胸片CXRs的深度学习对2型糖尿病进行筛查, 这是基于视觉AI大模型的影像分析, 可以筛查出医学专家人眼看不到的问题。 https://t.co/F4fCLOGb5e
RT @pash22: Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs https://t.co/qTKvDZI2Sw via @Ayis…
RT @pash22: Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs https://t.co/qTKvDZI2Sw via @Ayis…
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs https://t.co/qTKvDZI2Sw via @AyisPyrros et al Any comments @RogueRad @DrHughHarvey ?
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs - https://t.co/wbnkM6oZi6
RT @ritters90: Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs | Nature Communications https:…
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs | Nature Communications https://t.co/jRdQTZHpD7
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs | Nature Communications https://t.co/WAqW8jq7ku
RT @brian_layden: https://t.co/HeCulzEZcU Great to be part of this paper from Dr Pyrros. https://t.co/z2jeg6iI0l. @Diabetes_UIC
RT @AyisPyrros: Our new study in Nature Communications addresses the surging issue of type 2 diabetes. We've found BMI unreliable, but AI-i…
RT @AyisPyrros: Our new study in Nature Communications addresses the surging issue of type 2 diabetes. We've found BMI unreliable, but AI-i…
Our new study in Nature Communications addresses the surging issue of type 2 diabetes. We've found BMI unreliable, but AI-identified adiposity measures promise more accurate T2D prediction, possibly revolutionizing screening and preventive care. See how: https://t.co/BzUQu2xyUO
RT @brian_layden: https://t.co/HeCulzEZcU Great to be part of this paper from Dr Pyrros. https://t.co/z2jeg6iI0l. @Diabetes_UIC
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs https://t.co/MOFKOzg5MS https://t.co/Di4X15B90o
https://t.co/HeCulzEZcU Great to be part of this paper from Dr Pyrros. https://t.co/z2jeg6iI0l. @Diabetes_UIC
@mattlungrenMD https://t.co/aQMBaMHR1t This video gives a nice summary of how we think this model works. Much akin to the principles of real estate, location is paramount; the area where fat is deposited in the body significantly influences the risk.