Automated data collection in cancer care: State of play among registries in the United Kingdom and Europe.
Automated coding in cancer registries: 12.8% use, 73.3% for pathology data, 87% efficiency reported. 📊💻
October 7, 2025
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Discover the newest research about AI innovations in Research.
Shared decision-making in radiology: leadership levers for patient-centred imaging.
Shared decision-making in radiology enhances patient care through leadership strategies and AI tools. Key findings from our review. 📊🤝
October 7, 2025
Mersey Care Introduces Digital Support Platform for Young People with Anorexia
Mersey Care launches TRIANGLE, a digital platform for young people with anorexia, offering resources and support for families. 📱💚
October 7, 2025
Human-in-the-Loop Performance of LLM-Assisted Arterial Blood Gas Interpretation: A Single-Center Retrospective Study.
LLM-assisted ABG interpretation shows strong concordance with expert evaluations, enhancing medical education and reducing errors. 📊🩺
October 7, 2025
A Trust-Aware Architecture for Personalized Digital Health: Integrating Blueprint Personas and Ontology-Based Reasoning.
Exploring a Trust-Aware Architecture for Personalized Digital Health: Key Insights from Recent Research 🏥📊
October 6, 2025
How can artificial intelligence transform the training of medical students and physicians?
AI in medical training: 2025 insights reveal potential, challenges, and ethical concerns. 🤖📚
October 6, 2025
Application of DeepSeek-assisted problem-based learning in hematology residency training.
DeepSeek enhances hematology residency training, improving clinical competence and diagnostic reasoning. 📈🩸 Significant exam score increases noted!
October 6, 2025
A Scalable Multi-Layer AI Adoption Model to Support the Comprehensive Goals of 6P Medicine.
Exploring a scalable AI model for 6P medicine: enhancing predictive, preventive, and personalized healthcare. 🤖📊
October 5, 2025
Development and evaluation of a machine learning prediction model for short-term mortality in patients with diabetes or hyperglycemia at emergency department admission.
Machine learning predicts 30-day mortality in diabetes patients at ED with 86-97% sensitivity. 📊⚕️
October 5, 2025
Automated assessment and detection of third molar and inferior alveolar nerve relations using UNet and transfer learning models.
Automated detection of third molar and nerve relations shows 97% accuracy using UNet. DenseNet121 achieves 84% accuracy. 🦷📊
October 5, 2025