Skill Claude CodeCodex
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
Reframe and polish imaging-AI / radiomics / radiogenomics research as a research grant proposal — convert paper-style "we built a model" into grant logic (clinical need → scientific question → hypothesis → specific aims/研究内容 → technical route/技术路线 → innovation/创新点 → feasibility/可行性 → expected outcomes), and strengthen…
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
Turn an imaging-research paper, preprint, PDF, abstract, or reading notes into a concise Chinese .pptx deck for journal club / 读片会 / 组会 / paper sharing. Use when the user wants a paper PPT, journal-club slides, 读片会/文献汇报 slides, or paper-to-slides for an imaging study. Identifies the paper type and evidence chain…
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
Build full-paper Chinese-English side-by-side (中英对照), figure/table-aware, source-grounded Markdown readers for imaging-research papers from PDF, DOI, arXiv, publisher HTML, or pasted text. Use whenever the user asks to translate or read an imaging paper, make 中英文对照/原文对照/全文翻译解读, extract figures/tables (including…
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
Draft, audit, and revise point-by-point reviewer response letters for Radiology (RSNA) and imaging-journal revisions. Use when the user has reviewer comments / a major or minor revision / 审稿意见 to answer for an imaging-AI/radiomics/radiogenomics manuscript. Assigns each comment a stable ID, classifies it, maps it to a…