Zimmer Biomet (Germany)

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al.

2024 · 1.422 Zit.

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.

2022 · 427 Zit.

A Context-based Chatbot Surpasses Radiologists and Generic ChatGPT in Following the ACR Appropriateness Guidelines

Alexander Rau, Stephan Rau, Daniela Zoeller et al.

2023 · 134 Zit.

Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

Maarten van Smeden, Georg Heinze, Ben Van Calster et al.

2022 · 129 Zit.

How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare

Johannes Allgaier, Lena Mulansky, Rachel Lea Draelos et al.

2023 · 123 Zit.

Problems and Barriers Related to the Use of AI-Based Clinical Decision Support Systems: Interview Study

Godwin Denk Giebel, Pascal Raszke, Hartmuth Nowak et al.

2024 · 23 Zit.

Machine Learning Algorithms in Cardiology Domain: A Systematic Review

Aleksei Dudchenko, Matthias Ganzinger, Georgy Kopanitsa

2020 · 11 Zit.

Improving AI-Based Clinical Decision Support Systems and Their Integration Into Care From the Perspective of Experts: Interview Study Among Different Stakeholders

Godwin Denk Giebel, Pascal Raszke, Hartmuth Nowak et al.

2025 · 8 Zit.

Development of clinical-guideline-based mobile application and its effect on head CT scan utilization in neurology and neurosurgery departments

Zahra Meidani, Fatemeh Atoof, Zohre Mobarak et al.

2022 · 8 Zit.

Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Baptiste Vasey, Myura Nagendran, B. A. Campbell et al.

2022 · 7 Zit.

Cancer, meta-analysis and reporting biases: the case of erythropoiesis-stimulating agents

Thomy Tonia, Guido Schwarzer, Julia Bohlius

2013 · 5 Zit.

Using Machine Learning and Feature Importance to Identify Risk Factors for Mortality in Pediatric Heart Surgery

Lorenz A. Kapsner, Manuel Feißt, Ariawan Purbojo et al.

2024 · 5 Zit.

User-Centered Development of Explanation User Interfaces for AI-Based CDSS: Lessons Learned from Early Phases

Ian-C. Jung, Maria Zerlik, Katharina Schuler et al.

2024 · 4 Zit.

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translation

Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al.

2025 · 3 Zit.

Cracking the code: a head-to-head comparison of expert clinicians and artificial intelligence in diagnosing rare diseases

Georg W. Sendtner, Martin Muecke, Lorenz Grigull et al.

2025 · 1 Zit.