Sigmund Freud Privatuniversität Wien

Evaluating the Efficacy of ChatGPT in Navigating the Spanish Medical Residency Entrance Examination (MIR): Promising Horizons for AI in Clinical Medicine

Francisco Guillén‐Grima, Sara Guillén-Aguinaga, Laura Guillén-Aguinaga et al.

2023 · 71 Zit.

Improved FMEA Methods for Proactive Health Care Risk Assessment of the Effectiveness and Efficiency of COVID-19 Remote Patient Telemonitoring

Chiara Parretti, Riccardo Tartaglia, Micaela La Regina et al.

2022 · 23 Zit.

Evaluating ChatGPT Efficacy in Navigating the Spanish Medical Residency Entrance Examination (MIR): A New Horizon for AI in Clinical Medicine

Francisco Guillén‐Grima, Sara Guillén-Aguinaga, Laura Guillén-Aguinaga et al.

2023 · 1 Zit.

Künstliche Intelligenz in der Mammadiagnostik

Matthias Dietzel, Alexandra Resch, Pascal Baltzer

2025 · 0 Zit.

Unterstützung der Anästhesievorbereitung durch Künstliche Intelligenz

Sibylle Langenecker, Joanna Baron‐Stefaniak

2024 · 0 Zit.

When Simulation and Training Saves Lives: Bayesian Statistics Identifies Clusters of Traumatic Brain Injury Victims and the Resulting Survival Likelihood Functions

Hermann Prossinger, Silvia Boschetti, Tomáš Hladký et al.

2026 · 0 Zit.

Promises and Perils of Artificial Intelligence in Surgery: The Critical Pathways for Successful Healthcare Outcomes

Young‐Woo Kim, Andreas Melzer, Susie Kim et al.

2024 · 0 Zit.

Deep learning for mortality prediction in patients with a de-novo or worsened heart failure

Robert Herman, Marc Vanderheyden, Boris Vavrik et al.

2021 · 0 Zit.

1765eP Large language models in oncology: Navigating opportunities and failure modes in clinical use

Louisa Hempel, Y. Taoudi-Benchekroun

2025 · 0 Zit.

Abstract 13836: Unbiased Deep Learning Approach Utilizing Longitudinal Data in Assessing All-Cause Mortality in Patients With a <i>De Novo</i> or Worsened Heart Failure

Robert Herman, Marc Vanderheyden, Boris Vavrik et al.

2021 · 0 Zit.