Matthew G. Crowson

A systematic review of federated learning applications for biomedical data

2022 · 112 Zit. · PLOS Digital Health

Machine Learning and Cochlear Implantation—A Structured Review of Opportunities and Challenges

2019 · 59 Zit. · Otology & Neurotology

Utility of GPT-4 as an Informational Patient Resource in Otolaryngology

2023 · 13 Zit. · medRxiv

Current Practices in Voice Data Collection and Limitations to Voice <scp>AI</scp> Research: A National Survey

2023 · 11 Zit. · The Laryngoscope

Artificial Intelligence Governance and Otolaryngology‐Head and Neck Surgery

2023 · 9 Zit. · The Laryngoscope

Standardizing Machine Learning Manuscript Reporting in <scp>Otolaryngology‐Head</scp> &amp; Neck Surgery

2022 · 9 Zit. · The Laryngoscope

Machine learning for pattern detection in cochlear implant FDA adverse event reports

2020 · 6 Zit. · Cochlear Implants International

Making Use of Artificial Intelligence–Generated Synthetic Tympanic Membrane Images

2023 · 5 Zit. · JAMA Otolaryngology–Head & Neck Surgery

The Integration and Impact of Artificial Intelligence in Otolaryngology—Head and Neck Surgery

2024 · 4 Zit. · Otolaryngologic Clinics of North America

Towards Medical Billing Automation: NLP for Outpatient Clinician Note Classification

2023 · 3 Zit. · medRxiv

Artificial Intelligence in Surgical Training and Applications to Otolaryngology: A Scoping Review

2025 · 1 Zit. · The Laryngoscope

The need to develop health data transaction disclosure requirements to balance transparency, privacy, and progressive use

2026 · 0 Zit. · The Lancet Digital Health

Machine Learning as a Catalyst for Value-Based Health Care

2020 · 0 Zit. · Journal of Medical Systems

A problem of Epic proportion

2026 · 0 Zit. · PLOS Digital Health

Machine Learning for Pattern Detection in Cochlear Implant FDA Adverse Event Reports

2020 · 0 Zit. · medRxiv