Jonathan S. Batchelor

IS
eRad
eRad will debut e3, a new information technology platform designed to expand and extend the firm's PACS application throughout the healthcare enterprise.
November 17, 2005
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Empiric Systems
Radiology informatics developer Empiric Systems of Morrisville, NC, will highlight the features of its Encompass.Net Web-based radiology management system.
November 17, 2005
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Emdeon
Emdeon of Tampa, FL, will demonstrate the capabilities of its Intergy RIS for ambulatory imaging centers and radiology practices.
November 17, 2005
2005 11 17 16 29 10 706
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Eastman Kodak Health Group
Eastman Kodak Health Group of Rochester, NY, will launch the latest version of its CareStream RIS application, and will showcase its CareStream Enterprise Information services at the 2005 RSNA show.
November 17, 2005
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Dynamic Imaging
Web-based PACS developer Dynamic Imaging of Allendale, NJ, will debut its latest product, IntegradWeb RIS/PACS, at this year's RSNA meeting.
November 17, 2005
2005 11 17 16 26 52 706
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DR Systems
DR Systems will exhibit the company's unified RIS/PACS platform with enhanced electronic medical record (EMR) integration and improved RIS features as part of the company's next software release, version 8.
November 17, 2005
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Crescendo Systems
MD Center-XL with Speech Processing, a new product from Crescendo Systems of Laval, Quebec, will be unveiled this month in Chicago.
November 17, 2005
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Creative Computer Applications
Creative Computer Applications (CCA) of Calabasas, CA, which is scheduled to merge with Jacksonville, FL-based StorComm, will showcase its CyberRAD RIS application.
November 17, 2005
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CPU Medical Management Systems
CPU Medical Management Systems of San Diego plans to introduce the latest version of its medical financial management software, MED/FM Release 6.1, at the 2005 RSNA conference.
November 17, 2005
2005 11 17 16 24 56 706
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Commisure
RSNA newcomer Commissure of New York City will debut its RadWhere Suite and RadPort Suite radiology workflow and communications products.
November 17, 2005
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Top Stories
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Machine learning plus CT helps assess severity of COPD
A machine-learning model based on chest CT images accurately predicts lung function, which can help clinicians diagnose and assess COPD.
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Ultrasound
Active thyroid surveillance effective, beneficial for older patients
A 58-year-old woman was diagnosed with ER-positive (Allred score 8) ILC in her right breast. Ultrasound and MRI found prominent lymph nodes in right axillary level I area, diagnosed as metastasis on ultrasound-guided fine-needle aspiration. F-18 FES-PET/CT showed a positive mass in right breast (white arrow; SUVmax, 5.6) and multiple F-18 FES–positive lymph nodes in right axillary level I, II, and II/III junction areas (red arrows; SUVmax, up to 12.2). In addition, a small F-18 FES-positive lymph node was observed in the right second internal mammary area (red circles; SUVmax, 1.8). However, biopsy could not be performed because it was too small and not visible on ultrasound; the clinician decided to include internal mammary lymph node in treatment field for adjuvant radiotherapy. The patient underwent lumpectomy with ALN dissection, with five metastases being identified in 13 lymph nodes dissected, and is scheduled to receive adjuvant chemotherapy, radiotherapy, and endocrine therapy.
Molecular Imaging
FES-PET shows promise staging women with invasive lobular cancer
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Structured CT reporting tool may aid hernia detection after bariatric surgery
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Higher ventricular and atrial heart volumes boost cardiac disease risk
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Figure: Improved image quality with a generative adversarial network architecture for low- to high-field-strength image translation, called LowGAN. (A–C) Top: High-field-strength (3-T) and low-field-strength (64-mT) images and LowGAN outputs for a single participant across (A) fluid-attenuated inversion recovery (FLAIR), (B) T1-weighted (T1w), and (C) T2-weighted (T2w) contrasts. Bottom: Graphs demonstrate the structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), normalized cross-correlation (NCC), and feature similarity index (FSIM) between high field strength and low field strength (64-mT) and high field strength and LowGAN outputs. a.u. = arbitrary units.****p ≤ 0.0001. Images and caption courtesy of Radiology and the RSNA.
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More women are willing to have AI assistance for their breast cancer screening exams.
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