This AI Detects COVID, Pneumonia & TB in Seconds | 98.5% ACCURATE!
0This AI Detects COVID, Pneumonia & TB in Seconds | 98.5% ACCURATE!
๐ Breakthrough in AI Healthcare! This video explores an advanced deep learning system that can automatically detect lung diseasesโCOVID-19, Pneumonia, and Tuberculosis (TB)โfrom chest X-ray images with 98.5% accuracy! ๐ฅ ๐ก
๐ Key Highlights:
โ How AI Diagnoses Lung Diseases โ Using Convolutional Neural Networks (CNNs) to analyze X-rays
โ 4-Class Detection โ Identifies COVID-19, Pneumonia, TB, or Healthy Lungs
โ Stunning Accuracy โ 98.5% overall, with 96% precision & recall in all categories
โ Best at Detecting Pneumonia โ 99.8% accuracy!
โ Reliable Healthy Case Detection โ Over 99% accuracy in ruling out diseases
โ Future Potential โ Expanding to CT scans & other medical imaging
๐ก Why This Matters?
Faster, more accurate diagnoses for life-threatening lung diseases
Supports doctors in critical decision-making
Could revolutionize healthcare, especially in pandemics & outbreaks
๐ Performance Metrics:
โ
COVID-19 Detection: 99% accuracy
โ
Pneumonia Detection: 99.8% accuracy
โ
TB Detection: 96% precision & recall
โ
Healthy Lungs Identification: 99% accuracy
๐ฌ Research Based on Deep Learning & Medical AI โ A game-changer for radiology and global health!
๐ข Stay Updated! Future improvements will include more datasets, rare cases, and CT scan integration.
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#aiinmedicine #deeplearning #medicalaid #covid19 #pneumonia #Tuberculosis #healthcaretech #artificialintelligence #radiology #medicaldiagnosis #neuralnetworks #HealthTech #aidetection #XRayAI
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A Deep Learning System for Detecting Severe Lung Diseases including Tuberculosis, Pneumonia, and COVID-19 through Digital Chest X-rays
Layman Abstract :
Lung diseases like TB, Pneumonia, and COVID-19 remain major global health threats and require quick, accurate detection. This study developed an artificial intelligence (AI) model using chest X-rays to automatically identify these diseases. The system achieved very high accuracy (98.5%) and showed reliable results across all categories. With further improvements, it could become a powerful tool to support doctors in diagnosing lung diseases more efficiently.
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