David W. Tscholl

Use of artificial intelligence in critical care: opportunities and obstacles

2024 · 101 Zit. · Critical Care

Attitudes of Anesthesiologists toward Artificial Intelligence in Anesthesia: A Multicenter, Mixed Qualitative–Quantitative Study

2023 · 20 Zit. · Journal of Clinical Medicine

Physicians' perceptions of two ways of algorithm presentation: graphic versus text-based approach

2022 · 4 Zit. · Ergonomics

Using Visual Patient to Show Vital Sign Predictions, a Computer-Based Mixed Quantitative and Qualitative Simulation Study

2023 · 1 Zit. · Diagnostics

User Perceptions of Visual Blood: An International Mixed Methods Study on Novel Blood Gas Analysis Visualization

2023 · 1 Zit. · Preprints.org

Attitudes of Anesthesiologists Towards Artificial Intelligence in Anesthesia: An International, Mixed Qualitative-Quantitative Study (Preprint)

2022 · 1 Zit.

Generative AI in Simulation Debriefings: An Exploratory Study Using the Team-FIRST Framework

2025 · 0 Zit.

Physicians' perceptions of two ways of algorithm presentation: graphic versus text-based approach

2022 · 0 Zit. · Figshare

User Perceptions of Visual Blood: An International Mixed Methods Study on Novel Blood Gas Analysis Visualization

2023 · 0 Zit. · Diagnostics

Generative AI in preanesthetic consultations: Effects on efficiency, documentation workload, quality, and physician–patient interaction: A simulation trial

2026 · 0 Zit. · Journal of Clinical Anesthesia

Generative AI in simulation debriefings: an exploratory study using the Team-FIRST framework and qualitative feedback from simulation experts and learners

2026 · 0 Zit. · Advances in Simulation

Evaluation of visual patient predictive for enhancing level 3 situation awareness: protocol for a multicentre randomised computer-based simulation and diagnostic accuracy study (true positive rate, precision, average lead time)

2025 · 0 Zit. · BMJ Open