Aperivue

Systematic review and meta-analysis pipeline for medical research.

Design or audit a model-agnostic evaluation harness for an LLM or multimodal LLM on a clinical task (radiology report generation, visual…

Generate the documentation an engineer-built medical-imaging model must carry — a Model Card (Mitchell et al. 2019), a Datasheet for its…

Generate a reproducible, runnable PyTorch training repo for a medical-imaging task — segmentation, classification, detection…

Vet the concrete third-party model a study will be built on — this repository, this revision, this checkpoint — not the architecture family.

Design or audit the clinical-validation study for an engineer-built medical-imaging model (segmentation, classification, or detection)…

Turn a folder of research PDFs into an Obsidian knowledge vault — consistently formatted literature notes with frontmatter, PDF embed…

Academic English consistency linting and non-native (ESL) language polish for medical manuscripts.

Design or audit the data-preparation stage of a medical-imaging model — DICOM/NIfTI intake, resampling and intensity normalisation, and…

Academic presentation preparation — paper-driven (journal club, grand rounds, seminar) and lecture/teaching decks (course material…

Profile a medical-imaging dataset before any modelling decision is made — the acquisition grid, voxel spacing and orientation spread, the…

Produce or audit a radiomics / tabular clinical-ML study — imaging or clinical features → any classical learner (penalised logistic [LASSO…