Latest Research in Artificial Intelligence in Healthcare and Education

Top Research Topics in Artificial Intelligence in Healthcare and Education

• Artificial Intelligence in Healthcare and Education — 22 papers
• Computation and Language — 19 papers
• Artificial Intelligence — 17 papers
• Machine Learning in Healthcare — 7 papers
• Radiology practices and education — 3 papers
• Dental Radiography and Imaging — 2 papers
• Topic Modeling — 2 papers
• Computer Vision and Pattern Recognition — 2 papers
• Machine Learning — 2 papers
• Stroke Rehabilitation and Recovery — 1 papers

Highest-Cited Papers

1. Large language models for patient-centred evidence generation and use
2. Large language models for patient-centred evidence generation and use
3. Systematic benchmarking of evaluation paradigms, safety boundaries, and clinical reasoning gaps for multimodal large language models in rehabilitation
4. CFC+HAWM — AI Evaluation and Regression Pack v1.1
5. Large Language Model Data Abstraction Demonstrates Accuracy and Reliability for NSQIP
6. Large Language Models for Ankle Fracture Classification and Management Prediction from Routine Clinical Documentation: A Single-Center Exploratory Study
7. FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models
8. E-AVI: Evidence-Grounded Multimodal Assessment for Automated Video Interviews
9. Dynamic medical knowledge graph updating method based on LLM decision control
10. Large language models fail to reliably predict emergent catheterization laboratory activation from prehospital electrocardiograms
11. Monitoring Changes in Clinical Trial Primary Outcomes Using Large Language Models
12. A multi-site benchmarking framework for scalable extraction of geriatric care constructs from electronic health records
13. EviGen: Predictive Evidence Scaffolding for Verifiable Clinical Rationale Generation
14. "I Know Where to Look," But Does the LLM? Charting the Gaps Between Clinical Expert Needs and Unstructured Data Abstraction Tools
15. RareMed-Dialogue: a multi-turn dialogue and benchmark on long-tail clinical cases
16. Sino-US-DrugQA: A benchmark for evaluating large language models in cross-jurisdictional pharmaceutical regulation
17. CPS-Net (Collaborating Physicians in Silico Network): A Decentralized Multi-Agent Transformer Framework for Specialty-Aware Disease Prediction
18. Fairness at Every Intersection: Uncovering and Mitigating Intersectional Biases in Multimodal Clinical Predictions
19. Performance of large language models as a source of clinical information on bacteriophage therapy
20. A Voice-Interactive Multi-Agent System for Smart Operating Rooms: Architecture Design and Key Technologies