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Evidence-Based Imaging – Springer

If you would like to know more about :Pediatric Radiology in Resource-Limited Settings Check out Springer Evidence Based Imaging in Pediatrics

We are happy to share Dr Jaishree Naidoo contribution to the chapter titled “Innovative Digital Health Technologies: Artificial Intelligence and Telemedicine”

Published Jun 6, 2023

WORLD TB DAY 2023: Artificial Intelligence in Paediatric Tuberculosis

On World TB Day 2023 we are reminded that TB remains one of the world’s deadliest infectious killers. Together We Can End TB with RADIFY® for TB.

Published May 24, 2023

Pediatric Lower Respiratory Tract Infections: Imaging Guidelines and Recommendations

Lower respiratory tract infection (LRTI) in children is a spectrum of illness that may affect the peripheral airways (bronchiolitis) or the alveoli (pneumonia), but these can occur sequentially

Published Dec 14, 2021

WHO recommends CAD with chest x-rays to fight tuberculosis

The World Health Organization (WHO) has updated its recommendations for tuberculosis (TB) screening to now include the use of computer-aided detection (CAD) applications in chest

Published Mar 24, 2021

COVID-19 Imaging: What We Know Now and What Remains Unknown

Abstract Several classification and reporting schemes were developed for chest imaging early during the pandemic for patients with suspected COVID-19 to aid in triage when

Published Feb 16, 2021

AI rivals human radiologists at breast-cancer detection

AI rivals human radiologists at breast-cancer detection A comparison of three commercially available artificial intelligence (AI) systems for breast cancer detection has found that the

Published Sep 15, 2020

Radiologists, AI make a great team in screening mammo

Radiologists, AI make a great team in screening mammo August 27, 2020 — The combination of an artificial intelligence (AI)-based computer-aided detection (CAD) algorithm with

Published Aug 27, 2020

Breast screening women in their 40’s to save lives

Breast screening women in their 40s to save lives – long-term UK study A 23-year follow-up of a large UK trial found that screening women

Published Aug 19, 2020

Groundbreaking Way to Search Lungs for Signs of COVID-19

When Covid-19 was at its height in China, doctors in the city of Wuhan were able to use artificial intelligence (AI) algorithms to scan the

Published May 6, 2020

Distinguishing COVID-19 from Pneumonia

AI Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Etiology on Chest CT Purpose To establish and evaluate an artificial intelligence (AI)

Published Apr 27, 2020

The Role of Chest Imaging in Patient Management

The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society Essentials Imaging is not indicated

Published Apr 7, 2020

COVID-19 in Rome, Italy

Chest CT Features of COVID-19 in Rome, Italy Purpose To investigate CT features of patients with COVID-19 in Rome, Italy, and to compare the accuracy

Published Apr 3, 2020

Chest Radiographic Findings

Frequency and Distribution of Chest Radiographic Findings in COVID-19 Positive Patients. Purpose To describe the time course and severity of the CXR findings of COVID-19

Published Mar 27, 2020

FOUNDERS FACTORY AFRICA

We’re incredibly excited to announce that we’ve joined the Venture Scale programme at Founders Factory Africa – kicking off today. Over the next 6 months,

Published Jan 31, 2020

HEALTH

AI ‘outperforms’ doctors diagnosing breast cancer Artificial intelligence is more accurate than doctors in diagnosing breast cancer from mammograms, a study in the journal Nature

Published Jan 2, 2020

RSNA 2019: AI AS A PEER-REVIEW TOOL

Peer review is a viable application for artificial intelligence (AI) software that identifies abnormalities on X-rays, say radiologists from New Delhi who described this application

Published Dec 16, 2019