Article

Quantifying Cancer Clinical Trial Eligibility Using Artificial Intelligence-Based Matching

2026-06-05

Abstract excerpt

<h4>PURPOSE</h4> To develop and validate an artificial intelligence-enabled platform that converts unstructured cancer trial eligibility criteria into structured queries and quantifies trial eligibility across advanced/metastatic cancer trials. <h4>METHODS</h4> We downloaded actively recruiting US interventional treatment trials for advanced/metastatic breast cancer, colon cancer, and non-small cell lung cancer...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: cabcc00c-5bd2-5d2d-ba51-9c765d02963a
DOI: 10.64898/2026.06.03.26354859

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Quantifying Cancer Clinical Trial Eligibility Using Artificial Intelligence-Based MatchingDOI 10.64898/2026.06.03.26354859Read

SROTAS IQ: An AI-Based Clinical Trial Matching Platform: A Validation Study in Breast CancerSemantic proximity Read

A Prospective Comparative Evaluation of Automatic Trial Matching Tools in a Molecular Tumor BoardSemantic proximity Read

Implementation of Human-in-the-Loop ChatGPT-based Patient Screening Across Multiple Diverse Clinical TrialsSemantic proximity Read

Utilizing Large Language Models for Enhanced Clinical Trial Matching: A Study on Automation in Patient ScreeningSemantic proximity Read

AERO: An AI Agent for Adaptive Eligibility Refinement and Optimization of Clinical Trial Criteria in Real-World Trial EmulationSemantic proximity Read

Applications of Artificial Intelligence in clinical decision-making and technical support in Oncology: A Scoping Review protocolSemantic proximity Read

MatchMiner: An open source computational platform for real-time matching of cancer patients to precision medicine clinical trials using genomic and clinical criteriaSemantic proximity Read

Patient2Sentence: Semantic Compression of Clinical Trial Eligibility Using Large Language ModelsSemantic proximity Read

A Proof-of-Concept Large Language Model Application to Support Clinical Trial Screening in Surgical OncologySemantic proximity Read

In Silico Trial Simulation with Artificial Intelligence-Generated Synthetic Control Cohorts Reproduces Results of a Randomized Controlled Trial in Acute Myeloid LeukemiaSemantic proximity Read

AI-Augmented Clinical Decision Support in a Patient-Centric Precision Oncology RegistrySemantic proximity Read

OncoCTMiner: streamlining precision oncology trial matching via molecular profile analysisSemantic proximity Read