Gabbi’s Post

Did you know? Digital breast tomosynthesis (DBT) is now recommended for all breast cancer screenings. By detecting up to 65% more invasive cancers than 2D mammograms alone, DBT enables highly informed decisions. However, the increased volume of images to review can be a challenge. By reconstructing the 3D Mammography™ data into 6mm SmartSlices, reducing the number of images to review by two thirds, 3DQuorum™ imaging technology can help you over come this challenge. Find out more today: https://buff.ly/3QwL6BF Hologic available from HSL in Ireland. #TomosynthesisAccelerated

[#BlogSeries] At the cutting-edge of technology, AI-powered mammography is transforming patient care and enhancing diagnostic accuracy. Stay competitive and boost your reputation by incorporating the latest in breast cancer detection. See how the #ProFoundAI groundbreaking technology can streamline your operational workflows and elevate patient outcomes. What operational workflows do you think #AI is best suited to help improve? Read More: https://bit.ly/3w7t2Xy #OperationalAI, #ProFoundAI, #iCAD, #BreastAI

Image guided brachytherapy is the standard of care for gynec cancer. However, there is a lot of variation in brachytherapy target contouring due to limited access to MRI or use of other imaging modalities for target delineation. Registrations are open for the 5th FARO-Varian Webinar which will be held on Monday, December 11th, 2023 Title: Brachytherapy Contouring for Gynaecologic Malignancies: Guidelines & Pratical Recommendations

https://lnkd.in/dARZ8ZuM In the latest advancement in breast cancer detection, MagView has integrated the American College of Radiology's (ACR) Method of Detection (MOD) into its software, offering an automated process for collecting and integrating this crucial data. The ACR's MOD initiative emphasizes the importance of accurately tracking how breast cancer is initially detected, whether through screening, patient or provider detection, or other methods. This data is vital for understanding the impact of screening on diverse populations and technological advancements. #breastimaging #healthtech #breastcancerdetection

Breast density is characterized and categorized using the four-level scale established by the American College of Radiology's's BI-RADS. Individuals with dense breast tissue face a higher likelihood of developing breast cancer, and experience reduced early detection capabilities through mammography. In an interview with Medscape Dr. Neil Skolnik explores the significance of breast density, its classification, and strategies healthcare providers can employ to educate and support patients with dense breast tissue. Learn more here: https://lnkd.in/grxPr7iX #breastcancer #bcsm #meded #knowyourrisk #breastdensity

The power of automated and personalized patient outreach: Using Commure Engage, Yale New Haven Health was able to reduce no-shows and same-day cancellations for breast cancer screenings by 54%. 🎯 Read the full story here: https://bit.ly/48f18X3

If you missed Dr. Conant's presentation about our innovations in breast AI at #RSNA2023, this is your chance. Highlighting recent achievements in improved AI detection, what that means for improved patient outcomes and #breasthealth. #OptimizedHealthSolutions #ProfoundAI

This Clinical Perspective describes the novel use of contrast-enhanced mammography after breast cancer cryoablation, highlighting advantages and disadvantages compared to alternate imaging modalities. https://lnkd.in/e_mJBR3G

Excellent project with excellent results. I did this project in 2022. I used Breast Ultrasound Images (BUSI) dataset which consisted 780 medical images, I did this project for early detection of breast cancer. I used CNN and LSTM algorithms for feature extraction phase. SVM, Decision tree and KNN classifire algorithms were used for recognition phase. The result was fantastic, and the accuracy reached to 97%.