Maternal lipidomic signatures of preterm and small-for-gestational-age newborn infants in low- and middle-income countries.
December 4, 2025Maternal lipid levels impact preterm and SGA births. Key findings: triglyceride imbalances, AUC 0.69 for preterm prediction. ππΆ
Immunological risk factors for recurrent implantation failure using a deep learning model: a multicenter retrospective cohort study.
December 3, 2025Deep learning predicts live births in recurrent implantation failure with 87.4% accuracy. Key factors: age, Th1/Th2 ratio, BMI. ππ€°
Evaluating EEG-to-text models through noise-based performance analysis.
December 3, 2025EEG-to-text models show potential but may memorize patterns instead of learning. Rigorous evaluation needed! π§ π
Mapping war trauma: A machine learning approach to predict mental health impacts in Ukraine.
December 3, 2025Machine learning predicts mental health impacts in Ukraine's war, revealing key drivers of PTSD and anxiety. ππ§
Identifying Key Variances in Clinical Pathways Associated With Prolonged Hospital Stays Using Machine Learning and ePath Real-World Data: Model Development and Validation Study.
December 2, 2025Machine learning identifies clinical variances linked to prolonged hospital stays, enhancing patient management. ππ₯
Radiographic diagnosis of periodontitis using artificial intelligence: a meta-analysis comparing binary and staging classifications across imaging modalities.
December 2, 2025AI in Periodontitis Diagnosis: Sensitivity 87.2% π, Accuracy 88.9% π¦·βA Meta-Analysis Review of Imaging Modalities.
EndoCompass Project: Research Roadmap for Thyroid Endocrinology.
December 2, 2025EndoCompass Project: Strategic Research Priorities in Thyroid Endocrinology π§ π. Key findings highlight gaps in funding and critical areas for investigation.
Response to Letter: “Top Ten Tips Palliative Care Clinicians Should Know About the Future of Artificial Intelligence” (Patel et al., Journal of Palliative Medicine, 2025).
December 1, 2025Exploring AI's role in palliative care: Key insights from Patel et al. (2025) π§ π‘
Evaluation of the Quality and Reliability of ChatGPT-4’s Responses on Allergen Immunotherapy Using Validated Instruments for Health Information Quality Assessment.
December 1, 2025ChatGPT-4's allergen immunotherapy responses rated fair quality, but lacked reliability and readability for patient use. ππ€









