Tag: radiology AI
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Qure.ai Secures Gates Grant to Advance Open-Source Lung AI for Underserved Health Systems
Overview of the Gates Foundation Grant Qure.ai, a leading provider of AI-powered medical imaging tools, has been awarded a grant by the Bill & Melinda Gates Foundation. The funding, whose exact amount was not disclosed, aims to accelerate the development of open-source datasets and AI tools for lung disease detection in under-resourced health settings. The…
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Qure.ai Secures Gates Grant to Advance Lung Ultrasound AI and Open-Source Tools
Qure.ai Lands Gates Foundation Grant to Accelerate AI for Lung Health In a move that could reshape how lung diseases are detected in under-resourced health systems, Qure.ai has secured a grant from the Bill & Melinda Gates Foundation. The undisclosed funding will support the development of open-source datasets and artificial intelligence tools aimed at improving…
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NICRAT Transforms Cancer Care in Nigeria’s South-West with AI Training for Health Workers
Empowering Health Workers with AI Skills In Nigeria’s South-West geopolitical zone, the National Institute for Research and Treatment (NICRAT) is driving a significant shift in cancer care by equipping health workers with practical skills in artificial intelligence. The initiative aims to bridge gaps in access to advanced cancer treatment and diagnostics by enabling frontline clinicians…
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rScriptor Upgrades Radiology Workflow With Flexible AI Impression Generation
New Upgrades Propel Radiology Reporting into a Flexible AI Era rScriptor, a leading provider of radiology software solutions, today announced a major upgrade designed to enhance radiology workflow through flexible AI impression generation. The latest release introduces multi-model AI impressions with built-in redundancy, customizable preferences, and a hybrid dictation option, enabling radiologists to shape reports…
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Concordant AI and Radiologist Mammography Linked to Higher Risk
New evidence on concordant AI and radiologist readings in mammography A recent retrospective study published in Radiology: Artificial Intelligence examined how the agreement between radiologist interpretations and standalone AI assessments of screening mammography relates to future breast cancer risk. Using data from 82,899 women with a median follow-up of about five years, researchers compared four…
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Concordant AI–Radiologist Findings on Mammography Predict Higher Five-Year Breast Cancer Risk
How Concordant AI and Radiologist Readings Elevate Risk Signals A new retrospective study published in Radiology: Artificial Intelligence has found that when a screening mammogram yields concordant positive results from both the radiologist and an AI tool, the five-year risk of developing breast cancer is markedly higher than when both interpretations are negative. The study…
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AI Improves Detection, Reduces False Positives on Mammograms
AI Enhances Mammography: Early Detection Meets Fewer False Alarms Artificial intelligence is moving from theory to bedside in breast cancer screening. In a major update, AI-assisted mammography is helping radiologists identify cancers earlier while trimming the number of false positives that lead to unnecessary follow-up tests. The program, piloted by California’s Sutter Health, demonstrates how…