University of Baltimore

Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Index

Scott Levin, Matthew Toerper, Eric Hamrock et al.

2017 · 398 Zit.

Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review

Haomin Chen, Catalina Gómez, Chien‐Ming Huang et al.

2022 · 237 Zit.

Clinical Algorithms, Antidiscrimination Laws, and Medical Device Regulation

Katherine E Goodman, Daniel J. Morgan, Diane E. Hoffmann

2023 · 49 Zit.

Artificial intelligence CAD tools in trauma imaging: a scoping review from the American Society of Emergency Radiology (ASER) AI/ML Expert Panel

David Dreizin, Pedro V. Staziaki, Garvit D. Khatri et al.

2023 · 24 Zit.

Explainable AI decision support improves accuracy during telehealth strep throat screening

Catalina Gómez, B. L. Smith, Alisa Zayas et al.

2024 · 19 Zit.

The Effect of Barcode Technology Use on Pathology Specimen Labeling Errors

M Yu, Ting‐Ting Lee, Mary Etta Mills

2019 · 14 Zit.

Ontology-based Image Navigation: Exploring 3.0-T MR Neurography of the Brachial Plexus Using AIM and RadLex

Kenneth C. Wang, Aditya R. Salunkhe, James Morrison et al.

2015 · 12 Zit.

Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery

George S. Liu, Soraya Fereydooni, Melissa Chaehyun Lee et al.

2025 · 12 Zit.

An ASER AI/ML expert panel formative user research study for an interpretable interactive splenic AAST grading graphical user interface prototype

Nathan Sarkar, M. Kumagai, Samantha Meyr et al.

2024 · 8 Zit.

GPT-4’s Law School Grades: Con Law C, Crim C-, Law & Econ C, Partnership Tax B, Property B-, Tax B

Andrew Blair-Stanek, Anne-Marie Carstens, Daniel S. Goldberg et al.

2023 · 7 Zit.

Applications and implementation of generative artificial intelligence in cardiovascular imaging with a focus on ethical and legal considerations: what cardiovascular imagers need to know!

Ahmed Marey, Kevin Christopher Serdysnki, Benjamin D. Killeen et al.

2024 · 6 Zit.

Reimagining nursing education: Leveraging competency-based education, artificial intelligence, and simulation for a diverse and practice-ready workforce

Robert Atkins, Kristen M. Brown, Shawna S. Mudd et al.

2025 · 5 Zit.

In Reply:

Michael Auerbach, Harold S. Ballard

2005 · 5 Zit.

Data-Centric Machine Learning in Nursing

Patricia A. Ball Dunlap, Eun‐Shim Nahm, Elizabeth E. Umberfield

2024 · 5 Zit.

ALZ‐NET: Using Real World Evidence to Inform the Future of Alzheimer’s Treatment and Care

Gil D. Rabinovici, Michael S. Rafii, Charles Apgar et al.

2022 · 4 Zit.