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. 📊🦷
Investigating Older Adults’ Use of a Socially Assistive Robot via Time Series Clustering and User Profiling: Descriptive Analysis Study.
Socially assistive robots can enhance care for older adults. 🤖 This study analyzes user patterns and characteristics. 📊
Barts Health NHS Trust Partners with Cancer Support UK for Workplace Cancer Training
Barts Health NHS Trust collaborates with Cancer Support UK for vital workplace cancer training. Staff gain skills to support colleagues. 💼🎗️
Patient Perspectives on AI for Mental Health Care: Cross-Sectional Survey Study.
A recent PubMed article explores patient views on AI in mental health care. Key findings highlight benefits, concerns, and values. 🤖💭
The Importance of Mentorship in Shaping Future Digital Health Leaders
Mentorship shapes future digital health leaders. 🤝 It fosters growth, collaboration, and innovation in healthcare. 🌟
Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study.
Large language models can enhance depression detection through diary text analysis. 📖🤖 Early intervention is crucial for mental health.
Longitudinal deep neural networks for assessing metastatic brain cancer on a large open benchmark.
New research highlights a deep learning approach for tracking metastatic brain cancer. 📊🧠 NYUMets-Brain dataset aids in patient care.
Letter to the editor: Re “the future of patient education: A study on AI-driven responses to urinary incontinence inquiries”.
AI's role in patient education on urinary incontinence is evolving. We reviewed a relevant PubMed article for insights. 📚💡