Nurses’ Intention to Integrate AI Into Their Practice: Survey Study in Canada.
Nurses’ AI Integration Intentions: 65% variance explained, trust & beliefs crucial for adoption. ππ€
September 6, 2025
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Discover the newest research about AI innovations in π€ Machine Learning.
Enhancing Oncology-Specific Question Answering With Large Language Models Through Fine-Tuned Embeddings With Synthetic Data.
Revolutionizing oncology data retrieval: 9% NDCG improvement using LLMs and fine-tuned embeddings! ππ‘
September 6, 2025
MIT Develops New Antibiotics Using AI to Combat Drug-Resistant Infections
MIT researchers have developed new antibiotics using AI to target drug-resistant bacteria like MRSA and gonorrhea. π¦ π
September 5, 2025
Transformative Role of Artificial Intelligence in Drug Discovery and Translational Medicine: Innovations, Challenges, and Future Prospects.
AI revolutionizes drug discovery, reducing costs by 30% and development time by 50%. Ethical challenges persist. π€π
September 5, 2025
AI Enhances RNA Vaccine and Therapy Development
AI aids in designing nanoparticles for RNA vaccine delivery, enhancing efficiency and potential treatments for various diseases. π§¬π
September 5, 2025
Lung lobe segmentation: performance of open-source MOOSE, TotalSegmentator, and LungMask models compared to a local in-house model.
Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. ππ«
September 5, 2025
Interaction of artificial intelligence, mental disorders, and diverse data modalities: Potential treatment management based on the “method-disease-data” axis.
AI in Mental Health: 3158 entities, 3248 relationships mapped for improved diagnosis & treatment. Challenges remain. π€π§
September 5, 2025
Digital Health in Low-Resource Settings: Comprehensive Challenges and Opportunities With a Focus on Stroke Care.
Digital health in low-resource settings faces challenges but offers scalable solutions for stroke care. ππ
September 4, 2025
Transformer-based multimodal precision intervention model for enhancing diaphragm function in elderly patients.
AI model enhances diaphragm function in elderly patients, achieving 92.3% accuracy. Significant implications for critical care interventions. π€π‘
September 4, 2025
Sepsis toxicity network reconstruction-Dynamic signaling and multi-organ injury: A review.
Sepsis involves complex signaling pathways leading to multi-organ injury. Key findings include oxidative stress and AI’s role in prediction. π§¬β οΈ
September 3, 2025