Clinical Knowledge

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 54 papers with code (133 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Scaling Language Models: Methods, Analysis & Insights from Training Gopher
  8 Dec 2021 3 repositories listed
  Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.
• Mask of truth: model sensitivity to unexpected regions of medical images
  5 Dec 2024 2 repositories listed
  We show that all models trained on the PadChest dataset, irrespective of the masking strategy, are able to obtain an Area Under the Curve (AUC) above random.
• INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning
  28 Sep 2024 2 repositories listed
  Medication Extraction and Mining play an important role in healthcare NLP research due to its practical applications in hospital settings, such as their mapping into standard clinical knowledge bases (SNOMED-CT, BNF,…
• Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
  11 Mar 2024 2 repositories listed Syntology ran 8 of 12 samples · 4 unverified
  Through multimodal learning on ECG records and associated reports, MERL is capable of performing zero-shot ECG classification with text prompts, eliminating the need for training data in downstream tasks.
• Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals
  1 Mar 2023 2 repositories listed
  Furthermore, as we show in this paper, current explanation techniques do not perform adequately in the multi-label scenario, in which multiple medical findings may co-occur in a single image.
• Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis
  27 Jun 2022 2 repositories listed
  Visualisation of the learned space further indicates that the correlation between the clustering of malignancy and nodule attributes coincides with clinical knowledge.
• CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation
  18 Jun 2025 1 repository listed
  Deep learning-based myocardial scar segmentation from late gadolinium enhancement (LGE) cardiac MRI has shown great potential for accurate and timely diagnosis and treatment planning for structural cardiac diseases.
• Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading
  18 Jun 2025 1 repository listed
  Automated grading of Knee Osteoarthritis (KOA) from radiographs is challenged by significant inter-observer variability and the limited robustness of deep learning models, particularly near critical decision boundaries.
• Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays
  4 Jun 2025 1 repository listed
  An essential step in deploying medical imaging models is ensuring alignment with clinical knowledge and interpretability.
• Fine-grained List-wise Alignment for Generative Medication Recommendation
  26 May 2025 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Accurate and safe medication recommendations are critical for effective clinical decision-making, especially in multimorbidity cases.
• MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment
  14 May 2025 1 repository listed
  Dermatological diagnosis represents a complex multimodal challenge that requires integrating visual features with specialized clinical knowledge.
• Biomed-DPT: Dual Modality Prompt Tuning for Biomedical Vision-Language Models
  8 May 2025 1 repository listed
  However, most of the current prompt learning methods only used the text prompts and ignored the particular structures (such as the complex anatomical structures and subtle pathological features) in the biomedical images.
• Clinical knowledge in LLMs does not translate to human interactions
  26 Apr 2025 1 repository listed
  Tested alone, LLMs complete the scenarios accurately, correctly identifying conditions in 94.
• ClinKD: Cross-Modal Clinical Knowledge Distiller For Multi-Task Medical Images
  9 Feb 2025 1 repository listed
  To address these issues, we introduce the Cross-Modal Clinical Knowledge Distiller (ClinKD), an innovative framework designed to enhance image-text alignment and establish more effective medical knowledge adaptation…
• Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments
  16 Dec 2024 1 repository listed
  Large Language Models (LLMs) have shown remarkable performance across various tasks, yet significant disparities remain for non-English languages, and especially native African languages.
• Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care
  5 Nov 2024 1 repository listed
  Accordingly, in this article, we first propose metrics to assess the accuracy of ML models with respect to the established protocol.
• SmoothSegNet: A Global-Local Framework for Liver Tumor Segmentation with Clinical KnowledgeInformed Label Smoothing
  13 Oct 2024 1 repository listed
  Liver cancer is a leading cause of mortality worldwide, and accurate Computed Tomography (CT)-based tumor segmentation is essential for diagnosis and treatment.
• CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios
  4 Oct 2024 1 repository listed
  With the proliferation of Large Language Models (LLMs) in diverse domains, there is a particular need for unified evaluation standards in clinical medical scenarios, where models need to be examined very thoroughly.
• Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance
  27 Aug 2024 1 repository listed
  In this work, we pioneer dynamic FFA video generation from static CF images.
• VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced with Clinical Knowledge
  5 Aug 2024 1 repository listed Syntology ran 8 of 11 samples · 3 unverified
  The need for improved diagnostic methods in ophthalmology is acute, especially in the less developed regions with limited access to specialists and advanced equipment.
• AI-Enhanced 7-Point Checklist for Melanoma Detection Using Clinical Knowledge Graphs and Data-Driven Quantification
  23 Jul 2024 1 repository listed
  To address these limitations, we introduce a novel diagnostic method that integrates two innovative elements: a Clinical Knowledge-Based Topological Graph (CKTG) and a Gradient Diagnostic Strategy with Data-Driven…
• Open-World Electrocardiogram Classification via Domain Knowledge-Driven Contrastive Learning
  17 Jul 2024 1 repository listed
  Overall, the investigated problem (i.
• Integrating Clinical Knowledge into Concept Bottleneck Models
  9 Jul 2024 1 repository listed
  Concept bottleneck models (CBMs), which predict human-interpretable concepts (e.
• Towards a Holistic Framework for Multimodal Large Language Models in Three-dimensional Brain CT Report Generation
  2 Jul 2024 1 repository listed
  Multi-modal large language models (MLLMs) have been given free rein to explore exciting medical applications with a primary focus on radiology report generation.
• Panacea: A foundation model for clinical trial search, summarization, design, and recruitment
  25 Jun 2024 1 repository listed Syntology ran 5 of 8 samples · 3 unverified · 8 pointer-only (licence)
  To address this challenge, we propose a clinical trial foundation model named Panacea, designed to handle multiple tasks, including trial search, trial summarization, trial design, and patient-trial matching.
• Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals
  8 Jun 2024 1 repository listed
  Attri-Net first counterfactually generates class-specific attribution maps to highlight the disease evidence, then performs classification with logistic regression classifiers based solely on the attribution maps.
• M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering
  6 Jun 2024 1 repository listed
  There is vivid research on adapting Large Language Models (LLMs) to perform a variety of tasks in high-stakes domains such as healthcare.
• Multiple Choice Questions and Large Languages Models: A Case Study with Fictional Medical Data
  4 Jun 2024 1 repository listed
  We evaluated various open-source, proprietary, and domain-specific LLMs using these questions in a zero-shot setting.
• Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax Classification
  26 Mar 2024 1 repository listed
  We anticipate that our template guidance will forge a fresh approach to elucidating AI models by integrating clinical domain expertise.
• Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning
  12 Dec 2023 1 repository listed
  Furthermore, to address the language resource imbalance issue, we also carry out experiments using a transfer learning methodology based on massive multilingual pre-trained language models (MMPLMs).

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.