Latest Research in Artificial Intelligence

Top Research Topics in Artificial Intelligence

• Computation and Language — 44 papers
• Artificial Intelligence — 18 papers
• Topic Modeling — 10 papers
• Artificial Intelligence in Healthcare and Education — 9 papers
• Biomedical Text Mining and Ontologies — 9 papers
• Computer Vision and Pattern Recognition — 5 papers
• Machine Learning — 3 papers
• Radiology practices and education — 2 papers
• Advanced Text Analysis Techniques — 1 papers
• Cholangiocarcinoma and Gallbladder Cancer Studies — 1 papers

Highest-Cited Papers

1. Large Language Model Benchmarks in Medical Tasks
2. PEFT: Evaluating parameter-efficient fine-tuning for clinical-note summarization across transformers and large language models
3. Keyphrase identification using minimal labeled data with hierarchical contexts and transfer learning
4. The economics of accuracy for medical reasoning with large language models
5. Large language models in ophthalmology: promise, peril, and the urgent need for guardrails
6. Assisting patients with reliable information gathering: A guide to building efficient QA systems for medical use
7. Large Language Models in Multidisciplinary Decision-Making for Hepatopancreatobiliary Oncology: Retrospective Comparative Feasibility Study
8. Cross-Domain Transfer of a Fractal Box-Counting Complexity Diagnostic: From Divertor Heat-Flux Profiles to Human EEG States
9. Evaluating large language models for lay summaries of radiology reports using tailored prompting strategies and mixed-method assessment
10. Large Language Model Agents for Evidence Based Genetic Disease Severity Classification
11. Verifiable by Construction: Claim-Level Evaluation of Verbatim Citation in Clinical Question Answering
12. Knowledge-enhanced LLMs for multilingual biomedical concept normalization: a multilingual benchmarking and behavioral analysis
13. Evaluating the ability of large language models to assess obstetric anaesthetic care using simulated medical records
14. Hierarchical Prompting with Reasoning Large Language Models for Immune Checkpoint Inhibitor-associated Myocarditis Evidence Extraction Pilot Study
15. Keeping it real: a hybrid approach combining de-identification and synthetic text generation for privacy preserving clinical data sharing
16. Evidence-Grounded Clinical Pharmacogenomics Decision Support: Integrating Fine-Tuned Large Language Models with Hybrid Retrieval-Augmented Generation
17. Enhancing Accessibility of Medical Texts through Large Language Model-Driven Plain Language Adaptation
18. Extracting Probabilistic Knowledge from Large Language Models for Bayesian Network Parameterization
19. Evaluating RAG Configurations for Clinical Information Extraction from EHR Notes: Aged Care Case Study
20. Four Ledgers, Not One Score: Responsible Communication of LLM-Judge Calibration in Biomedical ML