Michael E. DeBakey VA Medical Center

Cognitive interventions to reduce diagnostic error: a narrative review

Mark L. Graber, Stephanie Kissam, Velma L. Payne et al.

2012 · 439 Zit.

An analysis of electronic health record-related patient safety concerns

Derek W Meeks, Michael W. Smith, Leslie Taylor et al.

2014 · 209 Zit.

Patient Perspectives on the Usefulness of an Artificial Intelligence–Assisted Symptom Checker: Cross-Sectional Survey Study

Ashley N. D. Meyer, Traber Davis Giardina, Christiane Spitzmueller et al.

2019 · 171 Zit.

Development and Validation of Machine Learning–Based Race-Specific Models to Predict 10-Year Risk of Heart Failure: A Multicohort Analysis

Matthew W. Segar, Byron C. Jaeger, Kershaw V. Patel et al.

2021 · 112 Zit.

Beyond Dr. Google: the evidence on consumer-facing digital tools for diagnosis

Michael L. Millenson, Jessica Baldwin, Lorri Zipperer et al.

2018 · 97 Zit.

Artificial Intelligence in Clinical Diagnosis

Prathit A. Kulkarni, Hardeep Singh

2023 · 96 Zit.

Artificial Intelligence Techniques That May Be Applied to Primary Care Data to Facilitate Earlier Diagnosis of Cancer: Systematic Review

O. T. G. Jones, Natália Calanzani, S Saji et al.

2020 · 62 Zit.

Crowdsourcing Diagnosis for Patients With Undiagnosed Illnesses: An Evaluation of CrowdMed

Ashley N. D. Meyer, Chris Longhurst, Hardeep Singh

2016 · 53 Zit.

Ebola US Patient Zero: lessons on misdiagnosis and effective use of electronic health records

Divvy K. Upadhyay, Dean F. Sittig, Hardeep Singh

2014 · 51 Zit.

Artificial Intelligence-Powered Blockchains for Cardiovascular Medicine

Chayakrit Krittanawong, Mehmet Aydar, Hafeez Ul Hassan Virk et al.

2021 · 46 Zit.

Assessment of Health Information Technology–Related Outpatient Diagnostic Delays in the US Veterans Affairs Health Care System

Lauren Powell, Dean F. Sittig, Kristin Chrouser et al.

2020 · 30 Zit.

Autonomous Artificial Intelligence in Diabetic Retinopathy: From Algorithm to Clinical Application

Roomasa Channa, Risa M. Wolf, Michael D. Abràmoff

2020 · 29 Zit.

Machine Learning to Predict Outcomes and Cost by Phase of Care After Coronary Artery Bypass Grafting

Rodrigo Zea-Vera, Christopher T. Ryan, Jim Havelka et al.

2021 · 26 Zit.

Evaluating a mobile application for improving clinical laboratory test ordering and diagnosis

Ashley N. D. Meyer, Pamela J. Thompson, Arushi Khanna et al.

2018 · 26 Zit.

Recommendations to Ensure Safety of AI in Real-World Clinical Care

Dean F. Sittig, Hardeep Singh

2024 · 24 Zit.