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.
May 8th 2024
In a study involving over 1,000 visible prostate lesions on biparametric MRI, a deep learning algorithm detected 96 percent of clinically significant prostate cancer (csPCa) in comparison to a 98 percent detection rate for an expert genitourinary radiologist.
Medical Crossfire®: How Can Thoracic Teams Facilitate Optimized Care of Patients With Stage I-III EGFR Mutation-Positive NSCLC?
May 21, 2024
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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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Community Practice Connections™: The 2nd Annual Hawaii Lung Cancers Conference®
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Philips Introduces AI-Enhanced CT System for High-Volume Radiology Screening Programs
May 17th 2023The artificial intelligence (AI)-enabled CT 3500 system reportedly reduces patient positioning time by 23 percent, improves low-contrast detectability by 60 percent and facilitates up to an 80 percent reduction in radiation dosing.
New Study Shows Viability of Adjunctive AI for Breast Ultrasound
May 8th 2023Adjunctive use of an artificial intelligence (AI) software demonstrated nearly equivalent sensitivity and over 28 percent higher accuracy in comparison to radiologist assessment of breast ultrasound images for breast lesions, according to new research presented at the recent Society of Breast Imaging (SBI) conference.
Can Alternative MRI Techniques Help Enhance CyberKnife Treatment Imaging?
May 4th 2023In a review of the literature, this author discusses the viability of artificial intelligence (AI), parallel imaging, compressed sensing and simultaneous multi-slice excitation for improving the scan times and use of magnetic resonance imaging (MRI) to facilitate CyberKnife treatment.
What a New Study Reveals About AI, Bias and Mammography Assessment
May 2nd 2023Regardless of experience level, radiologists are likely to be affected by automation bias when utilizing adjunctive artificial intelligence (AI) for mammography interpretation, according to newly published research.
TeraRecon Launches AI-Powered Neuro Suite
April 28th 2023The artificial intelligence (AI)-powered Neuro Suite reportedly enables radiologists to access leading neurological AI algorithm solutions in the field, including the brain magnetic resonance imaging (MRI) segmentation capabilities of the Combinostics’ algorithm that can help differentiate degenerative pathologies such as Alzheimer’s disease and dementia.
Emerging AI Tool Improves Worklist Triage and CT Detection of Incidental Pulmonary Embolism
April 21st 2023In a new study involving over 11,700 chest computed tomography (CT) scans in oncology patients, adjunctive artificial intelligence software demonstrated a sensitivity rate of 91.6 percent for incidental pulmonary embolism (IPE) and reduced median detection and notification time for IPE-positive scans from multiple days to one hour for a radiology department at a comprehensive cancer center.
RapidAI Gets FDA Nod for AI Assessment of Non-Contrast CT for Acute Stroke Triage
April 18th 2023Powered by artificial intelligence (AI), the Rapid NCCT Stroke modality is reportedly the first medical device to gain FDA 510(k) clearance for detecting suspected large vessel occlusion and intracranial hemorrhage based on assessment of non-contrast computed tomography (NCCT).
Can AI Improve Triage of CT Pulmonary Angiography Exams for Acute PE?
April 7th 2023A recent study showed that artificial intelligence (AI)-based worklist reprioritization led to a mean reduction of 12.3 minutes in radiology report turnaround time for positive computed tomography pulmonary angiography (CTPA) exams that were positive for pulmonary embolism.
Study Finds AI More Effective Than Sonographer Interpretation of Cardiac Function on Echocardiograms
April 5th 2023Based on a review of 3,495 echocardiographic studies to evaluate left ventricular ejection fraction (LVEF), researchers found that cardiologists changed initial artificial intelligence (AI) assessment 16.8 percent of the time and initial sonographer assessment 27.2 percent of the time.
Can ChatGPT Provide Appropriate Information on Mammography and Other Breast Cancer Screening Topics?
April 5th 2023Researchers found that ChatGPT offered appropriate responses to 22 out of 25 patient-oriented questions on mammography screening, dense breasts, BI-RADS scoring and other topics related to breast cancer screening and prevention.
AI-Enabled Lung Assessment Tool for Handheld Ultrasound Gets FDA Nod
April 4th 2023The artificial intelligence (AI) powered Auto B-line Counter, which reportedly produces a B-line count from a six-second ultrasound clip, may facilitate more expedient and consistent assessment of abnormal lung function.
Study: Emerging AI Platform for DBT Shows 23 Percent Increase in Breast Cancer Detection Rate
March 23rd 2023In a recent video interview, Kathy Schilling, M.D., discussed findings from a study of ProFound AI, an adjunctive artificial intelligence (AI) software for digital breast tomosynthesis (DBT), that demonstrated a 23 percent increase in breast cancer detection in comparison to DBT alone.