ArticleAdvances in neural information processing systems2024
Biomedical Visual Instruction Tuning with Clinician Preference Alignment.
Article in Advances in neural information processing systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
74 citing papers in PubMed.
- A new era in computational pathology: A survey on foundation and vision-language models.Journal of pathology informatics · 2026Review
- Generative large language models in medicine: a scoping review of recent methodological advances.npj health systems · 2026Review
- ALPaCA: Adapting Llama for Pathology Context Analysis to enable slide-level question answering.Nature communications · 2026Article
- A Visual Question Answering Dataset for Benchmarking Vision-Language Models in Plant Science.Scientific data · 2026Article
- Image-Quality-Aware Multimodal Artificial Intelligence for Automated Structured OCT Report Generation in Glaucoma Evaluation.Ophthalmology science · 2026Article
- A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends.Findings of ACL. ACL · 2026Article
- Foundation models for radiology: fundamentals, applications, opportunities, challenges, risks, and prospects.Diagnostic and interventional radiology (Ankara, Turkey) · 2026Review
- Key concept learning for medical vision language model with reasoning capabilities.NPJ digital medicine · 2026Article
- A Fine-Tuned Multimodal AI Chatbot for Dietary Health and Nutrition, Purrfessor: Development and Mixed Methods Evaluation.JMIR AI · 2026Article
- An image and legend text alignment model based on position guided enhanced attention mechanism.Scientific reports · 2026Article
- Large language models for bioinformatics.Quantitative biology (Beijing, China) · 2026Review
- How Far Have Large Language Models Advanced in Ophthalmology? A Systematic Review of Their Development, Evaluation, and Readiness for Clinical Use.Research square · 2026Article
- Article
- MQADet: a plug-and-play paradigm for enhancing open-vocabulary object detection via multimodal question answering.Scientific reports · 2026Article
- Artificial intelligence in digital pathology diagnosis and analysis: technologies, challenges, and future prospects.Military Medical Research · 2026Review
- Investigation of Pressure Injuries With Visual ChatGPT Integration: A Descriptive Cross-Sectional Study.Journal of advanced nursing · 2026Article
- Enhancing Medical Large Vision-Language Models via Alignment Distillation.Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence · 2026Article
- Beyond convolutions and supervised learning with transformers and representation learning for retinal image analysis.Progress in retinal and eye research · 2026Review
- Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography.Information processing in medical imaging : proceedings of the ... conference · 2026Article
- Deep Generative Model of Macrophage Immune Response for Hepato-intestinal Tumor Therapy Optimization.Cyborg and bionic systems (Washington, D.C.) · 2026Article
14 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Recent advancements in multimodal foundation models have showcased impressive capabilities in understanding and reasoning with visual and textual information. Adapting these foundation models trained for general usage to specialized domains like biomedicine requires large-scale domain-specific instruction datasets. While existing works have explored curating such datasets automatically, the resultant datasets are not explicitly aligned with domain expertise. In this work, we propose a data-centric framework,
Identifiers
40017809PMC11867732What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.