Signals shaping
health AI.
A focused stream of research, industry developments and ideas selected for people building the future of health.
Research and developments, with a clear point of view.
Quantitative Imaging for Interstitial Lung Disease.
Quantitative imaging enhances ILD diagnosis and treatment, utilizing CT and emerging MRI techniques. 📊🫁
Are we entering a new era of artificial intelligence (AI)-supported decision-making in dentistry?
Exploring AI's role in dentistry: potential impacts on decision-making and patient outcomes. 🤖🦷
Foundation model based prediction of lung cancer survival using temporal changes in dual time point CT scans.
Lung cancer survival prediction enhanced by dual time point CT scans. 📊 Study shows...
Maternal lipidomic signatures of preterm and small-for-gestational-age newborn infants in low- and middle-income countries.
Maternal lipid levels impact preterm and SGA births. Key findings: triglyceride imbalances, AUC 0.69...
Immunological risk factors for recurrent implantation failure using a deep learning model: a multicenter retrospective cohort study.
Deep learning predicts live births in recurrent implantation failure with 87.4% accuracy. Key factors:...
Evaluating EEG-to-text models through noise-based performance analysis.
EEG-to-text models show potential but may memorize patterns instead of learning. Rigorous evaluation needed!...
Mapping war trauma: A machine learning approach to predict mental health impacts in Ukraine.
Machine learning predicts mental health impacts in Ukraine's war, revealing key drivers of PTSD...
Identifying Key Variances in Clinical Pathways Associated With Prolonged Hospital Stays Using Machine Learning and ePath Real-World Data: Model Development and Validation Study.
Machine learning identifies clinical variances linked to prolonged hospital stays, enhancing patient management. 📊🏥
Radiographic diagnosis of periodontitis using artificial intelligence: a meta-analysis comparing binary and staging classifications across imaging modalities.
AI in Periodontitis Diagnosis: Sensitivity 87.2% 📊, Accuracy 88.9% 🦷—A Meta-Analysis Review of Imaging...