OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 18.05.2026, 18:59

University of Missouri Health System

6.345 Arbeiten327.742 Zitationen
Land: USTyp: healthcare

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Machine learning-based CT radiomics features for the prediction of pulmonary metastasis in osteosarcoma

Hélcio Mendonça Pereira, Maria Eugênia Leite Duarte, Igor Ribeiro Damasceno et al.

2021 · 45 Zit.

The Impact of Computed Tomography on Decision Making in Tibial Plateau Fractures

Marcello Teixeira Castiglia, Marcello Henrique Nogueira‐Barbosa, André Messias et al.

2018 · 32 Zit.

The Emerging Role of the Chief Research Informatics Officer in Academic Health Centers

Abu Saleh Mohammad Mosa, Kate Fultz Hollis, Umberto Tachinardi et al.

2017 · 22 Zit.

Evaluating the Reliability of ChatGPT for Health-Related Questions: A Systematic Review

Mohammad Beheshti, Imad Eddine Toubal, Khuder Alaboud et al.

2025 · 20 Zit.

Exploring the Usability of Mobile Apps Supporting Radiologists’ Training in Diagnostic Decision Making

Min Soon Kim, Michael Aro, Kraig J. Lage et al.

2015 · 17 Zit.

Experimenting With the New Frontier: Artificial Intelligence–Powered Chat Bots in Hand Surgery

Zayd M. Al Rawi, Benjamin J. Kirby, Peter Albrecht et al.

2024 · 15 Zit.

Skills and competencies in health data analytics for health professionals: a scoping review protocol

Akhona Nkwanyana, Verona Mathews, Iris Zachary et al.

2023 · 7 Zit.

A Scoping Review of Artificial Intelligence Algorithms in Clinical Decision Support Systems for Internal Medicine Subspecialties

Ploypun Narindrarangkura, Min Soon Kim, Suzanne Austin Boren

2021 · 7 Zit.

Toward Successful Implementation of Speech Recognition Technology: A Survey of SRT Utilization Issues in Healthcare Settings

Martina A. Clarke, Joshua L. King, Min Soon Kim

2015 · 6 Zit.

Analyzing voluntary medical incident reports.

Yang Gong, James P. Richardson, Luan Zhijian et al.

2008 · 5 Zit.

Artificial intelligence in emergency medicine: a narrative review

Angelica Rego, Juan Pablo Arango-Ibañez, R. Andrew Taylor et al.

2026 · 1 Zit.

Identifying high-dose opioid prescription risks using machine learning: A focus on sociodemographic characteristics

Olabode B. Ogundele, Butros M. Dahu, Praveen Rao et al.

2025 · 0 Zit.

Deriving the OTA/AO fracture classification from routinely collected radiology reports using a large language model

Stephanie Hu, Timothy Keeley, Ryan T. Halvorson et al.

2026 · 0 Zit.

547: Surgical Critical Care Genealogy Database Creates Meaning Through Connection

Kristine Lombardozzi, William Miles, Salman Ahmad et al.

2020 · 0 Zit.