Full papers
Up to 9 pages, with unlimited references.
Machine Learning/CORE Unranked
AIM NeurIPS2026 2026
AI Agents for Biomedical Imaging and Multimodal Clinical Data at NeurIPS2026
The AIM-NeurIPS 2026 workshop focuses on agentic AI systems for biomedical imaging and multimodal clinical data, aiming to advance methods that dynamically integrate images with EHRs, lab values, prior studies, and clinical tools through multi-step reasoning and human-in-the-loop workflows. It emphasizes benchmarking, tool orchestration, intermediate verification, and trustworthy evaluation of AI agents, distinct from static models, and is paired with an optional archival pathway via the MELBA journal.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short papers
Up to 4 pages, with unlimited references.
Research areas in scope
01
Agentic Vision-Language & Foundation Models
agentic capabilitiesmulti-step reasoning trajectoriestool orchestrationgoal execution in medical vision-language and foundation models
02
Tool-Using AI Agents
autonomous agents that dynamically select, invoke, sequence, and verify specialized biomedical tools (e.g., segmentation, registration, reconstruction, retrieval, visualization, or statistical analysis)
03
Agentic Multimodal Integration
multi-step agentic systems that actively search, retrieve, and cross-reference medical images with clinical reports, EHR records, lab values, waveforms, omics, and longitudinal histories
04
Multi-Step Reasoning, Grounding & Planning
goal decompositionexplicit step-by-step reasoningdynamic plan revisionevidence grounding for biomedical image interpretation
05
Clinical Workflows & Agentic Decision Support
tool-using agents for interactive clinical decision supportimage measurementreportingdataset annotationcohort discovery
06
Human-in-the-Loop & Interactive Oversight
agent oversight mechanismsinteractive expert guidancemid-pipeline verificationuser intervention in multi-step analyses
07
Evaluation & Benchmarks for AI Agents
protocols and benchmarks evaluating tool selection accuracyreasoning trajectoriesuncertainty calibrationerror recoveryrobustnesssafety across multi-step execution
08
Trustworthy & Auditable AI Agents
auditable execution logsinterpretability of intermediate agent stepssafety guardrailsfailure recovery in clinical agentic workflows
09
Datasets, Environments & Infrastructure
benchmarkssimulated clinical environmentstool API standardsopen-source software frameworks for building and evaluating agentic medical AI
Policies worth checking twice
- Submissions must use the NeurIPS 2026 paper template and guidelines.
- Submissions are double-blind reviewed.
- Full papers are limited to 9 pages; short papers to 4 pages (references unlimited).
- Submissions must feature an explicit agentic component; static, single-step models are out of scope.
- Workshop submissions are non-archival.
- Accepted papers may be extended and submitted optionally to the MELBA special issue for archival publication.
- Organizers follow NeurIPS conflict-of-interest rules.
- Review loads are capped at approximately 3 papers per reviewer.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026