Enabling Tech

Artificial Intelligence Prediction of Meningioma Grade Using Preoperative MRI: A Large Multicenter Study

Introduction: Accurate preoperative determination of meningioma grade could substantially enhance surgical planning, yet no reliable noninvasive method currently exists. This study aims to create and externally validate a machine learning model that integrates conventional radiomics with novel fractal and topological metrics to classify WHO meningioma grade from preoperative MRI in a large, multi-institutional cohort with a…

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HLF Laureate Portraits: Amanda Randles
Posted onMarch 25, 2026

The Heidelberg Laureate Forum Foundation presents the HLF Laureate Portraits: Amanda Randles, ACM Prize in Computing 2023.

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Inside the Sony Women in Technology Award with Nature: A Conversation with Recipient-Turned-Judge, Dr. Amanda Randles
Posted onMarch 25, 2026March 25, 2026

Amanda Randles reflects on her research, her experience with the award, and what it will take to move ideas from simulation into everyday clinical care.

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The need to develop health data transaction disclosure requirements to balance transparency, privacy, and progressive use

This Viewpoint critically evaluates the impact of commodifying health data in the era of electronic health records and the ethical challenges this practice raises. Additionally, the Viewpoint explores the complex interplay between the advancement of health-care artificial intelligence (AI) and the imperative for transparency in data practices, scrutinising the insufficiency of existing regulations in addressing…

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Real-Time Peripheral Revascularization Planning in Chronic Limb Threatening Ischemia Using HarVI: A Digital Twin Approach

Peripheral artery disease (PAD) is a leading cause of limb loss and morbidity worldwide, with chronic limb-threatening ischemia (CLTI) representing its most severe presentation. Although image-guided endovascular interventions are routinely performed, clinicians currently lack tools that provide real-time, patient-specific predictions of hemodynamic outcomes to guide revascularization decisions. Existing computational fluid dynamics (CFD) approaches can recover…

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Dr. Islam Receives the 2026 Postdoctoral Professional Development Award
Posted onMarch 12, 2026March 27, 2026

Dr. Shekh Md Mahmudul Islam, Ph.D., from BIG IDEAs Lab has been selected to receive the 2026 Postdoctoral Professional Development Award in support of his proposal to the IEEE International MTT Symposia (IMS) 2026, which will be held in Boston this June.

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Amanda Randles on HPC and the Future of Vascular Digital Twins
Posted onMarch 11, 2026March 11, 2026

HPCwire recently sat down with Center Director Amanda Randles to learn what she has been building behind the scenes, from the data and software infrastructure needed to combine wearable health data, medical imaging, and simulation to the practical challenges of running and analyzing vascular digital twins at scale. Read the article

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AI at Work – and What It Means
Posted onFebruary 25, 2026March 27, 2026

From offices to classrooms and clinics, Duke’s community is learning to work smarter with AI, while keeping humanity at the heart of innovation. This article features the Center’s Associate Director for Wearable Technology Jessilyn Dunn.

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State and Diffusion of National Institutes of Health Funding of AI in Radiology

Artificial intelligence research has profound implications for the future of radiology, making it essential to understand funding patterns and diffusion rate from the National Institutes of Health (NIH), historically the leading source of biomedical research funding in the United States. Recent changes in federal funding further necessitate understanding the trends and focus areas for future…

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Arriel Benis

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