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 Algorithm Predicts Chronic Conditions from CT Scans

By HospiMedica International staff writers
Posted on 17 Dec 2018
Artificial intelligence (AI) algorithms can take advantage of existing computed tomography (CT) data to identify patients at risk of osteoporotic fractures and cardiovascular disease (CVD).

The algorithms, developed by Zebra Medical Vision (Shefayim, Israel), are based on anonymized databases of medical images and clinical data that were used to train them to discover chronic diseases by automated imaging analysis. More...
The Zebra algorithm engine can be deployed in both cloud and on-site configurations, and is designed to integrate into picture archiving and communication systems (PACS), radiological information systems (RIS), and electronic medical record (EMR) systems.

Two recent studies undertaken by Clalit Health Services (Tel Aviv, Israel), which owns and operates 1,500 primary care clinics and 14 hospitals in Israel, treating over 4 million patients, validated that the algorithms can successfully predict osteoporotic fractures and CVD. The first study involved a retrospective analysis of 48,227patients with abdominal CTs, in order to identify radiologic risk markers of major and hip-specific osteoporotic fractures. The results showed that Zebra-Med algorithms achieved equivalent risk-stratification to contemporary fracture risk assessment tool (FRAX) scoring system.

The second five-year retrospective study, which involved 14,135 patients with non-gated, unenhanced chest CT, examined the cardiovascular predictive power of the Zebra-Med automatic coronary calcium scoring (CCS) algorithm, found that it resulted in a net 4.5% increase in categorical risk-reclassification improvement. By employing the Zebra algorithms, overstretched radiology departments can increase efficiency. Both studies were presented at the 2018 Radiological Society of North America (RSNA) annual meeting, held during November 2018 in Chicago (IL, USA).

“While there are an increasing number of AI applications in imaging aiming to mimic and automate human radiologist reading, there is larger untapped potential in these imaging studies. One can use AI to extract predictive insights unavailable to date that support high-impact population health interventions to tackle chronic diseases,” said Professor Ran Balicer, MD, the head of Clalit’s Research Institute. “We are pleased with the results of these two groundbreaking research projects and are looking forward to get them into practice.”

Related Links:
Zebra Medical Vision
Clalit Health Services


Gold Member
Blood Gas Analyzer
i-Check200
Radiology Monitor
MDNC-6121 Barco Nio Color 5.8MP
Multi-Chamber Washer-Disinfector
WD 390
Vessel Sealing Instrument
ERGOseal
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: The thin foetoscope is guided through the abdominal wall to the placenta. Small magnets in its tip react to an externally generated magnetic field, enabling the instrument to be bent with precision. The robotic platform is designed to occlude shared blood vessels in the placenta of twins with twin-to-twin transfusion syndrome. (Image Credit: created with BioRender.com, ETH Zurich)

Robotic Platform Advances Fetoscopic Treatment of Twin-to-Twin Transfusion Syndrome

Twin-to-twin transfusion syndrome is a life-threatening complication in monochorionic twin pregnancies caused by unbalanced placental blood flow. Definitive treatment requires endoscopic laser coagulation... 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.