Outcomes Research Consortium

Bias in artificial intelligence algorithms and recommendations for mitigation

Lama Nazer, Razan Zatarah, Shai Waldrip et al.

2023 · 525 Zit.

Evaluating the Efficacy of ChatGPT as a Patient Education Tool in Prostate Cancer: Multimetric Assessment

Damien Gibson, Stuart Jackson, Ramesh Shanmugasundaram et al.

2024 · 79 Zit.

Artificial Intelligence for Perioperative Medicine: Perioperative Intelligence

Kamal Maheshwari, Jacek B. Cywinski, Frank Papay et al.

2022 · 42 Zit.

Perioperative intelligence: applications of artificial intelligence in perioperative medicine

Kamal Maheshwari, Kurt Ruetzler, Bernd Saugel

2019 · 26 Zit.

Physician views of artificial intelligence in otolaryngology and rhinology: A mixed methods study

Annapoorani Asokan, Conner J. Massey, Caroline Tietbohl et al.

2023 · 23 Zit.

Recommendations for disclosure of artificial intelligence in scientific writing and publishing: a regional anesthesia and pain medicine modified Delphi study

Michael R. Fettiplace, Anuj Bhatia, Yian Chen et al.

2025 · 9 Zit.

A machine learning evaluation of patient characteristics associated with prescribing of guideline-directed medical therapy for heart failure

Rachel Kim, Krithika Suresh, Michael A. Rosenberg et al.

2023 · 7 Zit.

Integrating Ethical Reasoning into Preparation for Participation to Work in/with Big Data Through the Stewardship Model

Rochelle E. Tractenberg

2016 · 5 Zit.

Large Vessel Occlusion Prediction in the Emergency Department with National Institutes of Health Stroke Scale Components: A Machine Learning Approach

Donglai Huo, Michelle Leppert, Rebecca Pollard et al.

2021 · 2 Zit.

Assessment of patient and physician sentiment on artificial intelligence use in US healthcare

Wael Saasouh, Kristina Ghanem, Carly Ghanem et al.

2025 · 1 Zit.

Use of Machine Learning to Derive Discrete Clinical Phenotypes and Assess Treatment-Effect Heterogeneity in the Steroids in Cardiac Surgery Trial Dataset

Andra E. Duncan, Karan Shah, Manshu Yan et al.

2025 · 1 Zit.

Artificial Intelligence for Cardiovascular Risk Prediction: An Umbrella Review of Applications and Translational Challenges

Razieh Parizad, Juniali Hatwal, Ajit Brar et al.

2026 · 0 Zit.

Using artificially intelligent text messaging to improve health behaviors to reduce cardiovascular risk: study protocol for a pragmatic randomized control trial

Amy D. Lu, Catia Chavez, Stacie L. Daugherty et al.

2026 · 0 Zit.