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Investigating the link between radiologists' gaze, diagnostic decision, and image content

Georgia D. Tourassi, Sophie Voisin, Vincent Paquit et al.

2013 · 85 Zit.

An Agile Digital Platform to Support Population Health—A Case Study of a Digital Platform to Support Patients with Delirium Using IoT, NLP, and AI

Mohan Tanniru, Nimit Agarwal, Amanda Sokan et al.

2021 · 25 Zit.

Classification of Multiple Diseases on Body CT Scans Using Weakly Supervised Deep Learning- Model weights

Fakrul Islam Tushar, Vincent M. D’Anniballe, Rui Hou et al.

2020 · 20 Zit.

A tutorial review of mathematical techniques for quantifying tumor heterogeneity

Rebecca A. Everett, Kevin Flores, Nick Henscheid et al.

2020 · 19 Zit.

Teleradiology: current perspectives

Elizabeth A. Krupinski

2014 · 15 Zit.

Low responsiveness of machine learning models to critical or deteriorating health conditions

Tanmoy Sarkar Pias, Sharmin Afrose, Moon Das Tuli et al.

2025 · 7 Zit.

Analysis of Potential for User Errors in Mobile Deployment of Radiology Deep Learning for Cardiac Rhythm Device Detection

Carl Sabottke, Marc A. Breaux, Rebecca Lee et al.

2021 · 4 Zit.

A framework for living evidence synthesis in cancer: Living, interactive network meta-analysis for first-line treatment of metastatic renal cell carcinoma (mRCC).

Irbaz Bin Riaz, Huan He, Alexander J. Ryu et al.

2021 · 1 Zit.

Radiology: ?Killer App? for Next Generation Networks?

Kevin M. McNeill

2004 · 0 Zit.

Artificial intelligence applications for enhancing patient self-care education following sternotomy: Development and initial evaluation

Shu-Fen Wung, James A. Noboa, Zoe Wung et al.

2026 · 0 Zit.

Faculty Opinions recommendation of Preliminary safety study of the Automated Wearable Artificial Kidney (AWAK) in Peritoneal Dialysis patients.

Prabir Roy‐Chaudhury, Bijin Thajudeen

2023 · 0 Zit.

Implications for Precision Accelerated Clinically Embedded Research (PACER): A novel technology-enabled approach to conducting minimal-risk research in outpatient community healthcare settings

E Friedman, Kelly N. Michelson, Shruti Sehgal et al.

2025 · 0 Zit.