In the News

The 2024 update of CLAIM guidelines for AI in medical imaging is finally online!

“It was a great opportunity to be a part of this expert panel and contribute to the guidelines.” – Dr Jaishree Naidoo, CEO and Co-Founder of Envisionit Deep AI

The Claim Guidelines are a “best practice” checklist to promote transparency and reproducibility of medical imaging AI research!

For the update of the checklist the guideline team has worked with >70 experts from a variety of medical imaging–related specialties, AI scientists, journal editors, and statisticians!

Published June 21, 2024

Responsible and evidence-based AI: 5 years on

“The answer to our current health crisis is AI; AI is better than doctors and we should be using it now.” and “AI is completely different, we’re not ready for it and it’s a Wild West out there…” Do these statements sound familiar? Conversations around artificial intelligence (AI) in health care are often marked by a surprising level of confidence and polarisation.

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Published May 10, 2024

RADIFY® AI platform

How an AI triage radiology service gained FDA clearance…

Envisionit Deep AI® became the first ever African-founded company to receive FDA clearance for an AI device. With Hardian Health’s support, Envisionit’s assisted radiology solution, RADIFY® AI, received FDA 501(k) clearance to triage Pneumothorax and Pleural Effusion – two conditions that result in challenges for teams working in emergency rooms and intensive care units.

Published March 20, 2024

Envisionit Deep AI®’s Chest x-ray AI medical device, RADIFY® Triage and notification software, achieves 510(k) FDA clearance.

Envisionit Deep AI®, a leading innovator in artificial intelligence diagnostic radiology solutions, is thrilled to announce the successful receipt of a 510(k) FDA clearance for its AI assisted chest x-Ray solution, RADIFY®, under two critical pathologies. Envisionit Deep AI®’s RADIFY® Triage has officially been cleared to triage Pneumothorax and Pleural Effusion, 2 critical findings that represent significant challenges in emergency rooms and intensive care units.

Published January 25, 2024

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