# Structured Logic: A Philosophical Framework for Diagnostic Imaging Studies

## TL;DR

This paper explores how a logical positivist approach can guide the design and analysis of diagnostic imaging studies, using a vascular imaging case as an example.

## Contribution

It provides a novel application of logical positivism to clinical imaging research, emphasizing epistemological transparency.

## Key findings

- A logical positivist framework was applied to a vascular imaging study, focusing on observable data and methodological rigor.
- Epistemological transparency can enhance the validity of clinical research, including diagnostic imaging and AI-driven decision support.
- The report compares logical positivism with other frameworks, defending its use in clinical study design.

## Abstract

Philosophical frameworks are rarely made explicit in clinical research, yet they underlie decisions at every stage of study design. This technical report presents a case example of how a logical positivist epistemology, which emphasized observable data, inductive generalization, and methodological disinterestedness, was intentionally applied to a vascular imaging study involving duplex ultrasound and venography in the diagnosis of pelvic vein compression syndromes. While the focus is on imaging, the relevance of epistemological transparency extends broadly to clinical trials, diagnostic tests, and AI-driven decision support. The study's design, data abstraction, and analytic processes were grounded in a transparent philosophical foundation, as documented in the author’s original thesis. This report outlines the methodological structure, defends the choice of positivism, compares competing frameworks, and reflects on how epistemology can shape research validity.