Proof of concept for voice based MRI scanner control using large language models in real time guided interventions.
Voice-controlled MRI scanners show 93.3% task completion in real-time interventions, enhancing efficiency and communication. 🗣️🖥️
Systematic benchmarking of 13 AI methods for predicting cyclic peptide membrane permeability.
Benchmarking 13 AI methods for cyclic peptide permeability reveals DMPNN's superior performance. Key insights on molecular representation and model architecture. 📊🔬
High-Precision Contactless Stereo Acoustic Monitoring in Polysomnographic Studies of Children.
High-Precision Acoustic Monitoring in Pediatric Sleep Studies: 91.16% Accuracy with Deep Learning 🎧📊
A cross-language analysis of urolithiasis patient online materials: Assessment across 24 European languages.
Urolithiasis online materials are complex; 20% of patients struggle with comprehension. Simplification is crucial for better adherence. 📉💧
Artificial intelligence in pediatric healthcare: bridging potential, clinical practice, and ethical considerations.
Exploring AI's role in pediatric healthcare: potential benefits, clinical applications, and ethical challenges. 🤖👶📊
The Evolving Landscape of Novel and Old Biomarkers in Localized High-Risk Prostate Cancer: State of the Art, Clinical Utility, and Limitations Toward Precision Oncology.
Exploring biomarkers in high-risk prostate cancer: 50-75% relapse rate post-treatment. Genomic profiling enhances precision oncology. 📊🔬
Survival Prediction in Allogeneic Haematopoietic Stem Cell Transplant Recipients Using Pre- and Post-Transplant Factors and Computational Intelligence.
AI model predicts allo-HSCT survival with 93.26% accuracy using 7 key factors. Study includes 564 patients. 📊🩸
ProMUS-NET: Artificial intelligence detects more prostate cancer than urologists on micro-ultrasonography.
AI surpasses urologists in prostate cancer detection on micro-ultrasonography: 73% vs 58% sensitivity. 📊🤖
AI in Palliative Care: A Scoping Review of Foundational Gaps and Future Directions for Responsible Innovation.
AI in Palliative Care: 125 studies reveal gaps in validation, transparency, and ethical frameworks. Future research is crucial! 🤖💔
Bronchiectasis in patients with chronic obstructive pulmonary disease: AI-based CT quantification using the bronchial tapering ratio.
AI quantifies bronchiectasis in COPD patients, linking scores to mortality and exacerbation risks. 📊💔