Latest Research in Machine Learning

Top Research Topics in Machine Learning

• Artificial Intelligence in Healthcare and Education — 32 papers
• Computation and Language — 15 papers
• Artificial Intelligence — 8 papers
• Machine Learning — 4 papers
• Machine Learning in Healthcare — 3 papers
• Health Literacy and Information Accessibility — 3 papers
• Computational Drug Discovery Methods — 2 papers
• Methodology — 2 papers
• Misinformation and Its Impacts — 2 papers
• Human-Computer Interaction — 2 papers

Highest-Cited Papers

1. The Virtual Biotech: A multi-agent AI framework for therapeutic discovery and development (1 citations)
2. How appropriate are ChatGPT-5’s answers to acne questions?
3. Association Between Large Language Model‐Derived Mobility Functional Status Assessment and Clinical Outcomes
4. Consistency of ChatGPT responses with the American Psychiatric Association guidelines in adolescent eating disorders: evaluation of quality, reliability, and readability
5. Pilot Validation of a Large Language Model Facilitator for Peer-to-Peer Learning
6. Human-AI Decision Support for Vector-Borne Disease Control under Environmental and Population Change
7. When Hiring Becomes Agent-Mediated: Evaluating Access and Recurrence in Two-Agent Résumé Screening
8. CliniCIRCA: A Modular LLM Framework for Constructing Longitudinal Mental Health Patient Journeys from Raw EHR Narratives
9. Large language models for tympanostomy patient education: readability and guideline adherence
10. Comparative evaluation of ChatGPT and gemini responses to patient-oriented questions on breast cancer
11. Structured Claim-Level Discourse Representations for Dense Health Narratives
12. Structural quality, readability, and educational usability of large language model chatbot responses to parental questions on teething
13. Leveraging Artificial Intelligence Chatbot to Generate Cochlear Implant Insurance Appeal Letter
14. AI Agents for Multimodal Oncology Diagnosis: Toward Transparent and Traceable Clinical Decision Support
15. K-Bench: a clinically calibrated benchmark for evaluating large language models in high-risk mental health conversations
16. Challenges of Auditing: Variability in Outputs of Large Language Models for Health
17. Information Set Emulation: Causal Certificates for AI Derived EHR Features
18. SatIR: Scalable High-Recall Constraint-Satisfaction-Based Information Retrieval for Clinical Trials Matching
19. LLM-Based Schema-Aware Split Learning for Privacy-Preserving Mental Distress Prediction Across Heterogeneous Surveys
20. Clinical AI and Precision Medicine: Philosophical Questions About Labels, Disease, and Evidence