Artificial Intelligence-What to Expect From Machine Learning and Deep Learning in Hernia Surgery.
AI is transforming hernia surgery through Machine Learning and Deep Learning. 🤖 Explore advancements and implications for patient outcomes. 🏥
Identifying Racial Disparities in Utilization and Clinical Outcomes of Ambulatory Hip Arthroscopy: Analysis of Temporal Trends and Causal Inference via Machine Learning.
Racial disparities in hip arthroscopy utilization and outcomes were highlighted in a recent PubMed article. 📊⚖️
Recent updates in treating carbapenem-resistant infections in patients with hematological malignancies.
Recent updates on treating carbapenem-resistant infections in hematological malignancies highlight critical options and emerging therapies. 🦠💉
Artificial Intelligence-Supported Development of Health Guideline Questions.
AI enhances health guideline question development, revealing new insights for allergic rhinitis. 🤖📋 Read our review of the PubMed article.
Emergency Medical Access Control System Based on Public Blockchain.
We reviewed a study on a public blockchain system for emergency medical access. It enhances patient data sharing during crises. 🏥🔗
The Feasibility of AgileNudge+ Software to Facilitate Positive Behavioral Change: A Mixed Methods Design.
AgileNudge+ software aids positive behavior change through user-friendly nudging. 🖥️💡 It simplifies interventions for diverse users.
PharmaBench: Enhancing ADMET benchmarks with large language models.
PharmaBench improves ADMET benchmarks using large language models, enhancing drug development accuracy. 🧬📊 Comprehensive dataset aids AI model creation.
Quantitative characterization of eosinophilia in nasal polyps with AI-based single cell classification.
Recent research highlights AI's role in quantifying eosinophils in nasal polyps. Eosinophilia's significance is crucial for treatment. 🤖🌿
A Machine Learning Approach for Predicting Biochemical Outcome After PSMA-PET-Guided Salvage Radiotherapy in Recurrent Prostate Cancer After Radical Prostatectomy: Retrospective Study.
A recent study explores machine learning for predicting outcomes in recurrent prostate cancer after salvage radiotherapy. 📊🔬
Deep radiomics-based prognostic prediction of oral cancer using optical coherence tomography.
New research highlights the role of optical coherence tomography in predicting oral cancer prognosis using deep learning. 📊🦷