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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

AI in Medical Imaging Informatics: Current Challenges and Future Directions

Andreas S. Panayides, Amir A. Amini, Nenad Filipović et al.

2020 · 653 Zit.

Integrating computerized clinical decision support systems into clinical work: A meta-synthesis of qualitative research

Anne Miller, Brian Moon, Shilo Anders et al.

2015 · 114 Zit.

The introduction of a diagnostic decision support system (DXplain™) into the workflow of a teaching hospital service can decrease the cost of service for diagnostically challenging Diagnostic Related Groups (DRGs)

Peter L. Elkin, Mark Liebow, Brent A. Bauer et al.

2010 · 78 Zit.

To do no harm — and the most good — with AI in health care

Carey Beth Goldberg, Laura Adams, David Blumenthal et al.

2024 · 69 Zit.

To Do No Harm — and the Most Good — with AI in Health Care

Carey Goldberg, Laura Adams, David Blumenthal et al.

2024 · 57 Zit.

What Is Medical Extended Reality? A Taxonomy Defining the Current Breadth and Depth of an Evolving Field

Brennan Spiegel, Albert Rizzo, Susan Persky et al.

2024 · 39 Zit.

Exploring the Clinical Translation of Generative Models Like ChatGPT: Promise and Pitfalls in Radiology, From Patients to Population Health

Florence X. Doo, Tessa S. Cook, Eliot L. Siegel et al.

2023 · 27 Zit.

Building Trustworthy Generative Artificial Intelligence for Diabetes Care and Limb Preservation: A Medical Knowledge Extraction Case

Shayan Mashatian, David G. Armstrong, Aaron Ritter et al.

2024 · 26 Zit.

Natural Language Processing of Radiology Reports to Detect Complications of Ischemic Stroke

Matthew I. Miller, Agni Orfanoudaki, Michael Cronin et al.

2022 · 25 Zit.

Radiology reports: assessment of a 5,000-word speech recognizer.

A H Robbins, M E Vincent, Kitt Shaffer et al.

1988 · 21 Zit.

Common Avoidable Problems in Nonunions

John F. Connolly

1985 · 18 Zit.

Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review

Naga Sasidhar Kanaparthy, Yenny Villuendas-Rey, T.I. Bakare et al.

2025 · 15 Zit.

Data Science Trends Relevant to Nursing Practice: A Rapid Review of the 2020 Literature

Brian Douthit, Rachel Walden, Kenrick Cato et al.

2022 · 14 Zit.

Nurses' perceptions of the design, implementation, and adoption of machine learning clinical decision support: A descriptive qualitative study

Ann Wieben, Bader G. Alreshidi, Brian Douthit et al.

2024 · 14 Zit.

A Qualitative Exploration of Nurses’ Information-Gathering Behaviors Prior to Decision Support Tool Design

Betsy Kennedy, Mary S. Dietrich, Lorraine C. Mion et al.

2017 · 12 Zit.