radiology-skills is a collection of Codex skills for medical-imaging research, covering radiomics, deep learning, imaging genomics, multimodal studies, statistics, validation, and scientific publishing. It is intended for researchers who design, analyze, write, and submit medical-imaging AI studies. The catalogue entries are its modular research workflows and specialist advisory skills.
Skill Codex
Use when planning, auditing, writing, or revising radiomics, medical imaging AI, and radiology deep learning studies for Radiology/RSNA, Nature-portfolio, Lancet, Cell, npj, European Radiology, or similar venues. Trigger for research frontiers, literature, CT/MRI/PET/ultrasound datasets, ROI/masks/segmentation…
Skill Claude CodeCodex
Design and document ROI/VOI/mask annotation that survives Radiology (RSNA) review — lesion-selection strategy (2D vs 3D, whole-tumour vs largest-slice vs peritumoral vs habitat vs multi-lesion), reader protocol (number, seniority, blinding, independent vs consensus, third-party adjudication), reproducibility (repeat…
Skill Claude CodeCodex
Turn manuscript text, claims, figure/table statements, abstracts, slides, or novelty/comparison assertions into verified, imaging-journal-scoped citation candidates and export one reference-manager-ready file (RIS, EndNote ENW, or BibTeX). Use when the user needs references for an imaging paper, wants supporting…
Skill Claude CodeCodex
Use when an imaging study must map radiology phenotypes or habitats to single-cell, spatial-omics, or pathology-derived cell states across patients, lesions, specimens, regions, or time points. Designs paired, weakly paired, or unpaired cross-modal mapping; audits alignment, deconvolution, label transfer, contrastive…
Skill Claude CodeCodex
Prepare and audit Data/Code Availability statements, DICOM de-identification plans, repository selection, dataset citations, and FAIR/sharing checks for Radiology (RSNA) and Nature-portfolio imaging+omics submissions. Use when the user needs a data availability statement, must de-identify DICOM imaging, choose a…
Skill Claude CodeCodex
Design and audit imaging deep-learning studies to Radiology (RSNA) / CLAIM 2024 standard, or to Nature-portfolio / FUTURE-AI trustworthy-AI standard — architecture choice (2D/2.5D/3D CNN, Transformer/ViT, segmentation/detection nets, prognostic models), transfer learning vs self-supervised pretraining vs training from…
Skill Claude CodeCodex
Assess whether an imaging dataset can support a study and turn it into a complete, submittable design — from feasibility triage to clinical question, target population, endpoint/estimand, minimum-viable vs stronger methods, and a validation strategy (internal resampling, temporal, geographic, fully external…
Skill Claude CodeCodex
Write compliant, non-overstated Ethics, Informed-Consent, and privacy/governance text for imaging and imaging+omics studies — study-type framing (retrospective, prospective, registered, multi-center), IRB/ethics-committee approval and numbers, consent vs documented waiver, re-identification risk (DICOM metadata…
Skill Claude CodeCodex
Use when multiple imaging centers cannot pool raw data and need a federated-learning research design. Chooses horizontal, vertical, split, or personalized federation; plans aggregation, non-IID handling, site weighting, secure aggregation, differential privacy, threat modeling, governance, communication…
Skill Claude CodeCodex
Produce publication-quality white-background academic figures for Radiology (RSNA), Nature-portfolio/npj, European Radiology, NEJM, Science, or Lancet-family venues with Python (matplotlib): ROC curves, calibration plots, decision-curve analysis, forest/SROC plots, Kaplan-Meier curves with numbers-at-risk…
Skill Claude CodeCodex
Use when an imaging study must select, adapt, fine-tune, or audit a pretrained medical imaging or vision-language foundation model. Covers zero-shot evaluation, linear probing, full fine-tuning, adapters, LoRA and other parameter-efficient tuning, prompt learning, domain adaptation, 2D/3D and image-text inputs, frozen…
Skill Claude CodeCodex
Find publishable frontier directions and innovation points for imaging-AI / radiomics / radiogenomics research, grounded in the publication patterns of high-impact journals (Radiology, Radiology: AI, Lancet Digital Health, Lancet Oncology, Nature Medicine, Nature Communications, npj Digital Medicine, npj Precision…
Skill Claude CodeCodex
A grant-writing process for turning imaging-AI, radiomics, or radiogenomics research into a fundable proposal. It organizes the proposal around the problem, research question, hypothesis, aims, methods, innovation, feasibility, and expected results.
Skill Claude CodeCodex
Match a finished or near-finished imaging-AI / radiomics / radiogenomics manuscript to the right target journals and build a submission tier list (reach / target / safety) grounded in each venue's publication patterns, author-guide style profiles, and the paper's real strengths and weaknesses. Use when the user asks…
Skill Claude CodeCodex
Use when a radiology study must jointly model five data dimensions: imaging, clinical, pathology, bulk molecular omics, and single-cell or spatial omics. Selects early, intermediate, late, graph, or latent-factor fusion; handles block-specific preprocessing, missing modalities, batch and site effects, nested feature…
Skill Claude CodeCodex
A tool for turning an imaging-research paper, preprint, PDF, abstract, or notes into a concise Chinese PowerPoint presentation for a journal club or research meeting.
Skill Claude CodeCodex
Polish finished imaging-research prose to Radiology (RSNA), Nature-portfolio/npj, European Radiology, NEJM, Science, or Lancet-family house style: concise sentences, correct tense, precise statistical reporting, venue-specific p-value/number/reference style, AI/data-sharing declarations, abbreviation control, and…
Skill Claude CodeCodex
Run a rigorous pre-submission mock peer review of an imaging-AI / radiomics / radiogenomics manuscript — simulate the methods, statistics, reporting-guideline, figure, citation/claim-verification, and data-sharing reviewer a top journal would assign, and surface the issues that cause desk-reject or major revision…
Skill Claude CodeCodex
Design, analyse, report, and submit imaging-multi-omics radiogenomics studies that link radiomic/deep imaging phenotypes to genomic, transcriptomic, single-cell, and spatial-omics data. Use when the user mentions radiogenomics, imaging genomics, imaging-transcriptomics, TCIA/TCGA, GEO, dbGaP, EGA, cBioPortal…
Skill Claude CodeCodex
Design and audit a hand-crafted radiomics study end-to-end to Radiology (RSNA) / CLEAR / IBSI standard — image preprocessing (resampling, intensity normalisation, gray-level discretisation/bin width, filters), IBSI-compliant feature extraction (PyRadiomics or equivalent), reproducibility/stability filtering…
Skill Claude CodeCodex
A reader that turns an imaging-research paper into a complete Chinese-English, side-by-side Markdown document. It keeps the original structure and places relevant figures and tables near the text that discusses them.
Skill Claude CodeCodex
Route an imaging-research manuscript or protocol to the correct reporting/quality guideline and audit it item-by-item for Radiology (RSNA) or Nature-portfolio submission. Use when the user mentions CLAIM, TRIPOD+AI, STARD, PRISMA-DTA, QUADAS-2, CLEAR, METRICS, RQS, IBSI, PROBAST, CONSORT-AI, FUTURE-AI, TRIPOD-LLM, the…
Skill Claude CodeCodex
Use when designing or auditing an LLM Agent that automates medical-imaging research tasks such as literature and dataset discovery, protocol planning, evidence-grounded RAG, analysis orchestration, reporting checks, manuscript workflows, and reproducible artifact handling. Covers tools, multi-agent roles, memory…
Skill Claude CodeCodex
A guide for writing point-by-point replies to peer reviewers of medical-imaging papers. It treats the response letter as a record linking every reviewer comment to a specific answer and manuscript change.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: