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    Excelsior Correspondent NEW DELHI, Oct 7: Amidst global competition for hi-tech medical devices, India has emerged among the world’s 5 top healthcare manufacturers, but at a much lesser cost, said Union Minister Dr Jitendra Singh today. India is manufacturing life-saving high-risk medical devices but the cost is just a fraction of the rest, he said. The Minister was delivering the Inaugural Address at the 8th CAHOTECH, the Annual International Healthcare Technology Conference, organised by Consortium of Accredited Healthcare Organizations (CAHO) […]

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    • #India among top 5 #healthcare manufacturers, but at lesser cost: Dr Jitendra - domestic manufacturing of high-end #medicaldevices has started which include #LINAC, #MRI #CT #Mammography #CArm MRI Coils, high end #Xray tubes | #MakeInIndia https://t.co/IaWqD8WKat

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    Dense breast tissue has more glandular and fibrous tissue, and less fatty breast tissue. Dense breasts are a common mammogram finding. Breast density increases a woman’s risk of breast cancer.

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    • Recent updates to #mammography regulations now require mammography facilities to notify patients about the density of their breasts. If you have questions about #DenseBreasts, check out our expert-reviewed summary. https://t.co/nklioPkriM #WorldDenseBreastDay https://t.co/wuXcdEhgIP

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    False-positive interpretations on screening mammograms can result in women without cancer undergoing unnecessary imaging and biopsy. To improve the sensitivity and specificity of screening mammograms, researchers have proposed that two readers interpret every mammogram. Although double reading has been shown to increase cancer detection rates by 6% to 15% and keep recall rates low, this strategy i s labor intensive and difficult to achieve during reader shortages. “There is a lot of pressure to deploy AI

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    • Can AI Assessment of Screening Mammograms Offer Similar Accuracy to Human Readers? https://t.co/T1wxnRbcho #AI #mammography #bcsm #breastcancer

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    Five artificial intelligence (AI) algorithms for mammography assessment were better at predicting breast cancer risk over five years than the Breast Cancer Surveillance Consortium (BCSC) risk model, according to new retrospective research involving over 13,000 women.

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    • Study Assesses Ability of #Mammography #AI Algorithms to Predict #BreastCancer Risk https://t.co/QKZxdrIgoa @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @BreastImaging @SBIRFS @DukeRadiology @PennRadiology @EmoryRadiology @UMichRadiology @TulaneRadiology #radiology #RadRes https://t.co/tsNAn3U6J8

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    Five artificial intelligence (AI) algorithms for mammography assessment were better at predicting breast cancer risk over five years than the Breast Cancer Surveillance Consortium (BCSC) risk model, according to new retrospective research involving over 13,000 women.

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    • Study Assesses Ability of #Mammography #AI Algorithms to Predict #BreastCancer Risk https://t.co/b7Ox7zINv2 @ACRRFS @ACRYPS @JBI_SBI @BreastImaging @SBIRFS @RadiologyACR @ARRS_Radiology @RadiologyUcla @UofURadiology @UNMRadiology @MayoRadiologyAZ @UCSFimaging #radiology #RadRes https://t.co/qjr6sEs3Ma

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    In a large retrospective study involving over 523,000 digital breast tomosynthesis (DBT) exams and over one million digital mammography (DM) exams, researchers found that DBT was associated with significantly lower recall rates but showed no advantage over DM in the diagnosis of interval or advanced breast cancer.

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    • Large Study Shows MIxed Results in Comparison of DBT and Digital #Mammography https://t.co/wULS6d0ejX @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @JBI_SBI @SBIRFS @BrighamRad @UMichRadiology @TulaneRadiology @WCMRadiology @BURadiology @UVARadiology #radiology #RadRes https://t.co/Ua5VpOE3Yo