Improving imaging diagnostics using summaries of electronic medical records

Targeted Neural Text Summarization of Electronic Medical Records to Improve Imaging Diagnostics

['FUNDING_R01'] · NORTHEASTERN UNIVERSITY · NIH-10916390

This study is working on a smart tool that helps radiologists quickly find important information from patient records, making it easier for them to make better decisions about your imaging tests.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorNORTHEASTERN UNIVERSITY (nih funded)
Locations1 site (BOSTON, UNITED STATES)
Trial IDNIH-10916390 on ClinicalTrials.gov

What this research studies

This research aims to enhance the diagnostic process in radiology by developing advanced natural language processing models that summarize key information from electronic health records (EHRs). These models will extract relevant data from lengthy, unstructured patient records, making it easier for radiologists to access critical information quickly. By focusing on specific queries, the summaries will help counteract cognitive biases and improve decision-making in imaging diagnostics. The ultimate goal is to ensure that radiologists have the most pertinent patient history at their fingertips, leading to better diagnostic outcomes.

Who could benefit from this research

Good fit: Ideal candidates for this research are patients undergoing imaging procedures who have extensive electronic health records.

Not a fit: Patients with straightforward imaging cases or those whose records are already concise may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could significantly improve the accuracy and efficiency of imaging diagnostics for patients.

How similar studies have performed: Other research has shown promise in using natural language processing for summarizing medical records, indicating a potential for success in this approach.

Where this research is happening

BOSTON, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.