The Diagnostic Imaging AI (artificial intelligence) focus page provides information, videos, podcasts, and the latest news about product developments, trial results, screening guidelines, and protocol guidance that touch on the development and use of AI across the healthcare continuum.
March 27th 2024
Featuring automated one-click functionality for capturing prostate volume, the AI-enabled software may help shorten workflows for prostate imaging, biopsies, and ultrasound-guided procedures.
Revolutionizing Early-Stage NSCLC Treatment: Pathologists’ Key Insights into Predicting Pathologic Responses to Immunotherapies
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Medical Crossfire®: Critical Questions on Diagnosis, Sequencing, and Selection of Systemic and Radioligand Therapy Options for Patients with GEP-NETs
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Medical Crossfire®: Expert Exchanges to Maximize Clinical Outcomes for Patients with CRPC Through Evidence-Based Personalized Therapy
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23rd Annual International Congress on the Future of Breast Cancer® West
July 12-13, 2024
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25th Annual International Lung Cancer Congress®
July 25-27, 2024
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2023 ASCO Direct™ Highlights: Practice-Changing Data From the Leading Oncology Conference
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6th Annual Precision Medicine Symposium: An Illustrated Tumor Board
October 18-19, 2024
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Community Practice Connections™: 24th Annual International Lung Cancer Congress®
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19th Annual New York Lung Cancers Symposium®
November 16, 2024
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Medical Crossfire®: How Does Recent Evidence on PARP Inhibitors and Combinations Inform Treatment Planning for Prostate Cancer Now and In the Future?
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Medical Crossfire®: How Do the Experts Select and Sequence Therapies to Optimize Patient Outcomes and Quality of Life in Advanced Prostate Cancer?
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Lung Cancer Tumor Board®: Enhancing Multidisciplinary Communication to Optimize Immunotherapy in Stage I-III NSCLC
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Clinical Vignettes™: The Experts Explain How They Integrate PET Imaging into Metastatic HR+ Breast Cancer Care Settings
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School of Breast Oncology® Live Video Webcast: Clinical Updates from San Antonio
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Viz.ai Gets FDA Nod for Hypertrophic Cardiomyopathy Module
August 16th 2023The De Novo approval for Viz HCM, which assesses electrocardiograms with artificial intelligence (AI) to identify possible cases of hypertrophic cardiomyopathy (HCM), is the 12th FDA clearance of algorithms on the Viz.ai Platform.
CMS Approves NTAP Reimbursement for AI-Powered EchoGo Heart Failure System
August 3rd 2023In what may represent the first CMS approval of a new technology add-on payment (NTAP) for an artificial intelligence (AI)-based heart failure detection platform, use of the EchoGo Heart Failure system will be eligible for up to $1,023.75 in NTAP reimbursement per acute hospital in-patient stay as of October 1, 2023.
Large Mammography Study Shows Significant Benefits with AI-Aided Screening
August 1st 2023Reportedly the first randomized trial to examine the impact of artificial intelligence (AI) on screening mammography, researchers found AI-aided screening led to a 20 percent increase in breast cancer detection and a 44.3 percent decrease in mammography screening workload.
Researchers Note Lack of Benefit with AI in Women with Dense Breasts
July 28th 2023In a study of over 1.300 women with dense breasts, the combination of mammography and ultrasound had a recall rate of 11.7 percent, a specificity rate of 89.1 percent and an accuracy rate of 89.2 percent in comparison to a 21.4 percent recall rate, 79.4 percent specificity and 79.5 percent accuracy for the combination of mammography, ultrasound, and artificial intelligence (AI).
Mammography-Based Deep Learning Model May Help Detect Precancerous Changes in High-Risk Women
July 27th 2023In a dataset enriched for African American women, BRCA mutation carriers and those with benign breast disease, a mammography-based deep learning model demonstrated a five-year AUC of 63 percent for predicting breast cancer in comparison to 54 percent for BI-RADS assessment.
Study: AI Assessment of Chest CT May Predict Multiple Mortality Risks
July 26th 2023In a study of over 20,700 people, researchers found that artificial intelligence (AI) analysis of body composition measurements via lung cancer screening computed tomography (CT) exams improves the prediction of mortality risks for lung cancer, cardiovascular disease, and all-cause mortality.
Can AI Bolster MRI Lesion Detection and Segmentation in Patients with Multiple Sclerosis?
July 19th 2023An artificial intelligence model, trained on MRI and FLAIR imaging from over 900 patients with multiple sclerosis, demonstrated a 96 percent accuracy rate and 99 percent specificity rate for contrast-enhancing lesions in this patient population.
Ultromics Gets HCPCS Code for AI-Powered EchoGo Heart Failure Device
July 6th 2023An artificial intelligence (AI)-enabled platform that can reportedly diagnose heart failure with preserved ejection fraction (HFpEF) through analysis of a single echocardiogram view, the EchoGo Heart Failure now has a HCPCS code for use of the technology in outpatient settings for Medicare beneficiaries.
Icometrix Gets First CPT III Code Issued by AMA for AI Brain MRI Software
July 3rd 2023Reportedly receiving the first Current Procedural Terminology (CPT) III code from the American Medical Association (AMA) for artificial intelligence (AI)-enabled brain magnetic resonance imaging (MRI) software, Icometrix says its adjunctive quantification software can be utilized for diagnosis and assessment of conditions ranging from Alzheimer’s disease and epilepsy to stroke and dementia.
Deep Learning Detection of Mammography Abnormalities: What a New Study Reveals
June 19th 2023In multiple mammography datasets with the original radiologist-detected abnormality removed, deep learning detection of breast cancer had an average area under the curve (AUC) of 87 percent and an accuracy rate of 83 percent, according to research presented at the recent Society for Imaging Informatics in Medicine (SIIM) conference.
Study Assesses Ability of Mammography AI Algorithms to Predict Breast Cancer Risk
June 7th 2023Five 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.