We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




AI-Based Mammography Triage Software Helps Dramatically Improve Interpretation Process

By HospiMedica International staff writers
Posted on 11 Oct 2021

An artificial intelligence (AI)-based mammography triage software is helping dramatically improve the interpretation process for healthcare providers. More...

In a new study, researchers at the Scripps Green Hospital (La Jolla, CA, USA) showed how the use of an AI-based computer-aided detection (CAD) and triage software suite improved the mammographic interpretation process at an imaging center and its partners. Mammographic results can be delayed for many reasons, including physician shortages. Many women experience anxiety waiting for their mammographic results, with 97% of women in one study reporting that immediate results would lower anxiety.

The AI software that aids in detection and triage of clinical concerns was first implemented in June 2019 at a single outpatient site utilizing 2D digital mammography. The AI software evaluated all imaging exams as soon as they were completed, triaging any suspicious findings into a sortable worklist and notifying the physicians. While integrating the AI tool into the imaging centers’ picture archiving and communication system was “unproblematic”, radiologist buy-in proved to be a challenge as physicians experienced fears of being replaced, distrust and hesitancy in learning the new approach.

The study showed that post the implementation of the AI tool, the average turnaround times declined from around 9.6 days based on 2019 data to 3.9 days in 2021. Among BI-RADS (Breast Imaging-Reporting and Data System) category 0 patients, the average turnaround times fell from 9.4 days (with a range of 1-33) to 4.7 days (0-22). Exams with suspicious findings were usually interpreted within one day, with fewer left for outside comparisons. There was also a decline of 71% in flags per examination when using AI from 2.26 per exam to 0.65, marking a “comparable and significant” reduction for both masses (down 72%) and calcifications (70%).

“Despite initial skepticism, a verbal survey of the interpreting radiologists performed two years after implementation showed universal preference for the AI-[computer-aided detection] compared with traditional CAD, the value of which has been questioned,” the researchers wrote. “Furthermore, the use of triage is now seen as the preferred way to manage their work lists,” indicating the “perception of greater ease” when reading batched mammograms.

Related Links:
Scripps Green Hospital 


Gold Member
Handheld Blood Glucose Analyzer
STAT-Site
Radiology Monitor
MDNC-6121 Barco Nio Color 5.8MP
Fetal Monitor
BT-380
Hypodermic Syringe
SurTract™ Safety Syringe
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Artificial Intelligence

view channel
Image: Artificial intelligence (AI) standalone performance and reader performance with versus without AI assistance. (A) Receiver operating characteristics (ROC) curve for AI standalone performance in the US dataset (AUC 0.899, 95% CI 0.858 to 0.939). (B) ROC curve for AI standalone performance in the Korean dataset (AUC 0.963, 95% CI 0.946 to 0.975). (C) Pooled reader ROC without (AUC 0.718) versus with (AUC 0.852) AI assistance in the Korean dataset; P<0.001. AUC, area under the receiver operating characteristics curve. (Leonard Sunwoo et al., Journal of NeuroInterventional Surgery (2026). DOI: 10.1136/jnis-2026-025339)

AI Improves Non-Contrast CT Interpretation for Time-Sensitive Stroke Assessment

Acute ischemic stroke occurs when a blood vessel in the brain becomes blocked, requiring rapid diagnosis to enable timely reperfusion therapy. Emergency departments often use computed tomography angiography... Read more

Critical Care

view channel
Image: Tubes attached to this artificial lung are connected to the patient\'s neck or chest, allowing blood to circulate and get oxygen while the patient is conscious. (Image Credit: Carnegie MellonImage: Tubes attached to this artificial lung are connected to the patient\'s neck or chest, allowing blood to circulate and get oxygen while the patient is conscious. (Image Credit: Carnegie Mellon University)University)

Portable Artificial Lung Technology Could Reshape Care for Chronic Lung Disease

Chronic lung disease can leave patients dependent on prolonged mechanical ventilation or awaiting transplantation, both of which carry substantial morbidity and healthcare costs. Ventilatory support may... Read more

Surgical Techniques

view channel
Image Credit: 123RF

Needle-Free Intrauterine Anesthesia Technique Reduces Pain During IUD Insertion

Pain during intrauterine device (IUD) placement often deters women from choosing this long-acting contraception. Avoiding or undertreating procedural pain can reduce uptake and satisfaction with effective... Read more

Point of Care

view channel
Image Credit: 123RF

Continuous Glucose Monitoring Identifies Cardiometabolic Risk in Adults Without Diabetes

Dysglycemia—abnormal blood glucose regulation—can fluctuate throughout the day and often escape conventional screening. Clinicians typically rely on fasting plasma glucose and hemoglobin A1c, which offer... Read more

Business

view channel
Image: LigaSure RAS Maryland, designed for the Valleylab FT10 platform on Hugo RAS, seals and cuts vessels, tissue, and lymphatics up to 7 mm in diameter (Photo courtesy of Medtronic)

Medtronic Receives FDA Clearance for Vessel-Sealing Instrument for Robotic Surgery

As robotic-assisted surgery expands across U.S. hospitals, teams increasingly seek energy instruments with the familiarity and performance of tools used in open and laparoscopic procedures.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.