[HTML][HTML] Focus: Big Data: Artificial Intelligence to Improve Patient Understanding of Radiology Reports

K Amin, P Khosla, R Doshi, S Chheang… - The Yale Journal of …, 2023 - ncbi.nlm.nih.gov
Diagnostic imaging reports are generally written with a target audience of other providers.
As a result, the reports are written with medical jargon and technical detail to ensure …

Addressing disparities related to access of multimodality breast imaging services before and during the COVID-19 pandemic

DL Nguyen, EB Ambinder, KS Myers, E Oluyemi - Academic radiology, 2022 - Elsevier
Despite technological advancements focused on reducing breast cancer mortality through
early detection, there have been reported disparities in the access to these imaging services …

Evaluating the use of ChatGPT to accurately simplify patient-centered information about breast cancer prevention and screening

HL Haver, AK Gupta, EB Ambinder, M Bahl… - Radiology: Imaging …, 2024 - pubs.rsna.org
Purpose To evaluate the use of ChatGPT as a tool to simplify answers to common questions
about breast cancer prevention and screening. Materials and Methods In this retrospective …

The added value of an artificial intelligence system in assisting radiologists on indeterminate BI-RADS 0 mammograms

C Yi, Y Tang, R Ouyang, Y Zhang, Z Cao, Z Yang… - European …, 2022 - Springer
Objectives To investigate the value of an artificial intelligence (AI) system in assisting
radiologists to improve the assessment accuracy of BI-RADS 0 cases in mammograms …

Current gaps in breast cancer screening among Asian and Asian American women in the United States

YJ Sohn, CY Chang, RC Miles - Journal of the American College of …, 2021 - Elsevier
Over the past two decades, the US Asian population has increased 72%, representing the
fastest growth rate of any major racial group. Currently, there are over 20 million Asian and …

Patient Characteristics Impact Performance of AI Algorithm in Interpreting Negative Screening Digital Breast Tomosynthesis Studies

DL Nguyen, Y Ren, TM Jones, SM Thomas, JY Lo… - Radiology, 2024 - pubs.rsna.org
Background Artificial intelligence (AI) is increasingly used to manage radiologists'
workloads. The impact of patient characteristics on AI performance has not been well …

Forgotten clientele: A systematic review of patient-centered pathology reports

E Steimetz, E Mostafidi, C Castagna, R Gupta… - Plos one, 2024 - journals.plos.org
Context Patient portals, designed to give ready access to medical records, have led to
important improvements in patient care. However, there is a downside: much of the …

Patient-centered radiology: a roadmap for outpatient imaging

MP Recht, L Donoso-Bach, B Brkljačić… - European …, 2024 - Springer
Creating a patient-centered experience is becoming increasingly important for radiology
departments around the world. The goal of patient-centered radiology is to ensure that …

Delays in follow-up care for abnormal mammograms in mobile mammography versus fixed-clinic patients

SS Vang, A Dunn, LR Margolies, L Jandorf - Journal of General Internal …, 2022 - Springer
Background Mobile mammographic services (MM) have been shown to increase breast
cancer screening in medically underserved women. However, little is known about MM …

Handoffs in radiology: minimizing communication errors and improving care transitions

J Burns, S Ciccarelli, E Mardakhaev, A Erdfarb… - Journal of the American …, 2021 - Elsevier
Handoffs are essential to achieving safe care transitions. In radiology practice, frequent
transitions of care responsibility among clinicians, radiologists, and patients occur between …