Bibliometric Analyst for Medical Research Study

I am looking for someone with experience in bibliometric analysis, PubMed/Web of Science data extraction, and medical research methodology to help develop a longitudinal bibliometric study.

The project will be inspired by the general methodological framework of a recent study examining the growth, methodological evolution, and clinical maturity of AI/ML research in major medical journals, but the new project must have a clearly different research question, scope, dataset, and analytical focus to avoid unnecessary overlap.

I am particularly interested in developing the study within a focused medical or surgical field, potentially cardiac surgery, and examining dimensions such as:

* Publication trends over time
* Evolution of AI/ML methods
* Clinical applications and data modalities
* Internal vs external validation
* Prospective evaluation
* Real-world clinical implementation
* Explainability and reporting quality

I am looking for someone who can help refine the research question, develop the search strategy and classification framework, extract and clean bibliographic data, perform the statistical/bibliometric analysis, and contribute to a publication-ready manuscript.

The final study should be methodologically strong and sufficiently distinct from the reference study rather than simply replicating it in another specialty.

Please share your previous experience with bibliometric or medical AI research, the tools you use, and an estimated timeline and cost.