Artificial intelligence for healthcare: restrained development despite impressive applications.
AI in healthcare shows promise but faces barriers like complexity and fragmented regulations. Collaboration is key for progress. ๐ค๐
July 20, 2025
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Discover the newest research about AI innovations in ๐ฆ Epidemiology.
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. ๐๐ฉป
June 13, 2025
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. ๐๐งฌ
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 ๐โค๏ธ”
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. ๐๐ก
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. ๐๐ฆ 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. ๐๐ฉบ
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! ๐๐
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 ๐๐ก
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. ๐ฆ ๐ฌ
May 1, 2025