Impact of a deep-learning image reconstruction algorithm on image quality and detection of solid lung lesions.
Deep-learning algorithms enhance lung lesion detection in CT scans, improving image quality significantly. 📈🩻
June 13, 2025
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Discover the newest research about AI innovations in 🦠 Epidemiology.
Histopathologic deep learning model for predicting tumor response to hepatic arterial infusion chemotherapy plus TKIs and ICIs in large hepatocellular carcinoma.
Deep learning predicts tumor response in large HCC: HTI shows 54.45% ORR vs. 21.65% for HAIC. 📊🧬
June 8, 2025
OptiStack classifier: optimized stacking framework with ensemble feature engineering for enhanced cardiovascular risk prediction.
“OptiStack Classifier: Enhancing CVD Risk Prediction with Ensemble Feature Engineering and Machine Learning Techniques 📊❤️”
June 1, 2025
Early Prediction of Mortality Risk in Acute Respiratory Distress Syndrome: Systematic Review and Meta-Analysis.
Machine learning models show 0.84 C-index for ARDS mortality prediction, outperforming traditional scoring systems. 📊💡
May 21, 2025
New Open-Source Platform BEACON Enhances Global Infectious Disease Surveillance
New platform BEACON enhances global infectious disease surveillance using AI and expert networks. 🌍🦠 Rapid threat detection and analysis.
May 20, 2025
Current updates in the epidemiology and comorbidities of atopic dermatitis.
Epidemiology of atopic dermatitis reveals 10-20% prevalence globally, with significant comorbidities like asthma and allergic rhinitis. 🌍🩺
May 12, 2025
Tinnitus risk factors and its evolution over time.
Tinnitus risk factors identified: hearing health, mood, neuroticism, and sleep. Predictive model shows 78% accuracy! 📊🔍
May 8, 2025
Explainable machine learning model for prediction of 28-day all-cause mortality in immunocompromised patients in the intensive care unit: a retrospective cohort study based on MIMIC-IV database.
Predicting 28-day mortality in ICU immunocompromised patients using machine learning: SVM achieves AUROC of 0.863 📊💡
May 4, 2025
AI Model Predicts Antibiotic Resistance in Bacteria
AI predicts antibiotic resistance in bacteria, highlighting gene transfer in humans and wastewater. This research aids public health efforts. 🦠🔬
May 1, 2025
When the whole is greater than the sum of its parts: why machine learning and conventional statistics are complementary for predicting future health outcomes.
Machine learning 🤖 and conventional statistics 📊 enhance health outcome predictions together, as shown in recent research.
April 25, 2025