July 21st 2025
In the first of a multi-part podcast episode, Emanuel Kanal, MD and Tobias Gilk share their insights and perspectives on remote MRI safety.
26th Annual International Lung Cancer Congress®
July 25-26, 2025
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PER's Satellite Symposia at MHS
August 1-2, 2025
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2025 International Symposium of Gastrointestinal Oncology (ISGIO)
September 12-13, 2025
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GU Tumor Board: Enhancing Prostate Cancer Outcomes – The Role of PSMA and Targeted Treatment Strategies
September 27, 2025
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Lung Cancer Tumor Board: Enhancing Precision Medicine in NSCLC Through Advancements in Molecular Testing and Optimal Therapy Selection
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(CME Credit Only) Lung Cancer Tumor Board®: The Pivotal Role of Multimodal Therapy in Leveraging Immunotherapy for Stage I-III NSCLC When the Goal Is Cure
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(MOC and CME Credit) Lung Cancer Tumor Board®: The Pivotal Role of Multimodal Therapy in Leveraging Immunotherapy for Stage I-III NSCLC When the Goal Is Cure
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(CME Credit Only) New Frontiers in Immunotherapy for SCLC: Insights From Latest Clinical Trials and Their Application in Real-World Treatment
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The Reading Room Podcast: Current and Emerging Insights on Abbreviated Breast MRI, Part 1
In the first of a multi-part podcast episode, Stamatia Destounis, MD, Emily Conant, MD and Habib Rahbar, MD, share their insights on the role of abbreviated breast MRI in breast screening.
Emerging Concepts in CT-Guided Treatment of Coronary Artery Disease
In a recent interview, Amir Ahmadi, M.D., discussed limitations of conventional diagnostic assessments for people with suspected coronary artery disease, and the emergence of AI-enabled plaque quantification to facilitate more timely detection and intervention.
FDA Clears Point-Of-Care Ultrasound Platform and AI Software for Neuraxial Procedures
The dual FDA clearances for the Accuro 3S point-of-care ultrasound device and the SpineNav-AI machine learning-based software may enhance precision and safety with ultrasound-guided neuraxial procedures.
Stroke MRI Study Assesses Impact of Motion Artifacts Upon AI and Radiologist Lesion Detection
Noting a 7.4 percent incidence of motion artifacts on brain MRI scans for suspected stroke patients, the authors of a new study found that motion artifacts can reduce radiologist and AI accuracy for detecting hemorrhagic lesions.
A fully convolutional data description (FCDD) model for identifying anomalies on breast MRI demonstrated an 84 percent AUC for detection tasks in a balanced cohort with a 20 percent malignancy prevalence and a 72 percent AUC for detection tasks in an imbalanced group with a 1.85 percent cancer prevalence.
Key MRI Findings Predictive of Treatment Response for Unresectable Hepatocellular Carcinoma
For patients with unresectable hepatocellular carcinoma, a pre-treatment MRI finding of LI-RADS tumor in vein was associated with over an 86 percent lower likelihood of responding to transcatheter arterial chemoembolization (TACE) and targeted immunotherapy.