{"total":17,"rows":[{"id":"2505.24040","title":"MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering","created":"2025-05-29","cited_by_count":5,"area":null},{"id":"2502.09849","title":"A Survey on Human-Centered Evaluation of Explainable AI Methods in Clinical Decision Support Systems","created":"2025-02-14","cited_by_count":3,"area":null},{"id":"2309.03494","title":"Evaluating Deep Learning-based Melanoma Classification using Immunohistochemistry and Routine Histology: A Three Center Study","created":"2023-09-07","cited_by_count":1,"area":null},{"id":"2401.14193","title":"Clinical Melanoma Diagnosis with Artificial Intelligence: Insights from a Prospective Multicenter Study","created":"2024-01-25","cited_by_count":1,"area":null},{"id":"2406.01428","title":"Superhuman performance in urology board questions by an explainable large language model enabled for context integration of the European Association of Urology guidelines: the UroBot study","created":"2024-06-03","cited_by_count":1,"area":null},{"id":"2407.11974","title":"Explainable AI Enhances Glaucoma Referrals, Yet the Human-AI Team Still Falls Short of the AI Alone","created":"2024-05-24","cited_by_count":1,"area":null},{"id":"2407.00104","title":"MultiTask Learning AI system to assist BCC diagnosis with dual explanation","created":"2024-06-27","cited_by_count":0,"area":null},{"id":"2408.03771","title":"Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial","created":"2024-08-07","cited_by_count":0,"area":null},{"id":"2408.08973","title":"Image class translation: visual inspection of class-specific hypotheticals and classification based on translation distance","created":"2024-08-16","cited_by_count":0,"area":null},{"id":"2508.20776","title":"Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML","created":"2025-08-28","cited_by_count":0,"area":null},{"id":"2512.06105","title":"Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation","created":"2025-12-05","cited_by_count":0,"area":null},{"id":"2601.21650","title":"When Life Gives You AI, Will You Turn It Into A Market for Lemons? Understanding How Information Asymmetries About AI System Capabilities Affect Market Outcomes and Adoption","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2603.25251","title":"Does Explanation Correctness Matter? Linking Computational XAI Evaluation to Human Understanding","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2605.06160","title":"Beyond Forgetting in Continual Medical Image Segmentation: A Comprehensive Benchmark Study","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2605.14210","title":"Towards Fine-Grained and Verifiable Concept Bottleneck Models","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2606.04326","title":"Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2606.17646","title":"SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches","created":"2026-06-16","cited_by_count":0,"area":null}],"next_cursor":null}