Matthew G. Crowson

Matthew G. Crowson

Harvard University

H-index: 19

North America-United States

About Matthew G. Crowson

Matthew G. Crowson, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at Harvard University, specializes in the field of machine learning, health care delivery, quality improvement, cost-effectiveness, health care value.

His recent articles reflect a diverse array of research interests and contributions to the field:

Adult vestibular dysfunction following head injury: diagnosis and management

An External Validation Study for Automated Segmentation of Vestibular Schwannoma

Current Practices in Voice Data Collection and Limitations to Voice AI Research: A National Survey

System for diagnosis of an otitis media via a portable device

A Proof‐of‐Concept Computer Vision Approach for Measurement of Tympanic Membrane Perforations

Blood-based screening for HPV-associated cancers

Using machine learning to predict operating room case duration: a case study in otolaryngology

“Human vs Machine” Validation of a Deep Learning Algorithm for Pediatric Middle Ear Infection Diagnosis

Matthew G. Crowson Information

University

Position

Neurotologist, Massachusetts Eye & Ear, Harvard Medical School

Citations(all)

1169

Citations(since 2020)

928

Cited By

555

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

36

i10Index(since 2020)

31

Email

University Profile Page

Harvard University

Google Scholar

View Google Scholar Profile

Matthew G. Crowson Skills & Research Interests

machine learning

health care delivery

quality improvement

cost-effectiveness

health care value

Top articles of Matthew G. Crowson

Title

Journal

Author(s)

Publication Date

Adult vestibular dysfunction following head injury: diagnosis and management

Matthew Gordon Crowson

2024/1/1

An External Validation Study for Automated Segmentation of Vestibular Schwannoma

Otology & Neurotology

Krish Suresh

Guibo Luo

Ryan A Bartholomew

Alyssa Brown

Amy F Juliano

...

2024/3/1

Current Practices in Voice Data Collection and Limitations to Voice AI Research: A National Survey

The Laryngoscope

Emily Evangelista

Rohan Kale

Desiree McCutcheon

Anais Rameau

Alexander Gelbard

...

2024/3

System for diagnosis of an otitis media via a portable device

2024/2/8

A Proof‐of‐Concept Computer Vision Approach for Measurement of Tympanic Membrane Perforations

The Laryngoscope

Obinna Nwosu

Krish Suresh

Renata Knoll

Daniel J Lee

Matthew G Crowson

2024/1/12

Blood-based screening for HPV-associated cancers

medRxiv

Dipon Das

Shun Hirayama

Ling Aye

Michael E Bryan

Saskia Naegele

...

2024

Using machine learning to predict operating room case duration: a case study in otolaryngology

Otolaryngology–Head and Neck Surgery

Lauren E Miller

William Goedicke

Matthew G Crowson

Vinay K Rathi

Matthew R Naunheim

...

2023/2

“Human vs Machine” Validation of a Deep Learning Algorithm for Pediatric Middle Ear Infection Diagnosis

Otolaryngology–Head and Neck Surgery

Matthew G Crowson

David W Bates

Krish Suresh

Michael S Cohen

Christopher J Hartnick

2023/7

Making use of artificial intelligence–generated synthetic tympanic membrane images

JAMA Otolaryngology–Head & Neck Surgery

Krish Suresh

Michael S Cohen

Christopher J Hartnick

Ryan A Bartholomew

Daniel J Lee

...

2023/6/1

Towards Medical Billing Automation: NLP for Outpatient Clinician Note Classification

medRxiv

Matthew G Crowson

Emily Alsentzer

Julie M Fiskio

David Bates

2023

Proof‐of‐Concept Computer Vision Model for Instrument and Anatomy Detection During Transcanal Endoscopic Ear Surgery

Otolaryngology–Head and Neck Surgery

Obinna Nwosu

Krish Suresh

Daniel J Lee

Matthew G Crowson

2023/12/17

Predicting Progression of Oral Lesions to Malignancy Using Machine Learning

The Laryngoscope

Michael P Wu

Grace Hsu

Mark A Varvares

Matthew G Crowson

2023/5

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

medRxiv

Krish Suresh

Vinay K Rathi

Obinna Nwosu

Matthew P Partain

Jordan T Glicksman

...

2023

Development of a Predictive Model for Persistent Dizziness Following Vestibular Schwannoma Surgery

The Laryngoscope

Krish Suresh

Mohamed A Elkahwagi

Alejandro Garcia

James G Naples

C Eduardo Corrales

...

2023/12

Development of a predictive model for individualized hearing aid benefit

Otology & Neurotology

Krish Suresh

Kevin Franck

Julie G Arenberg

Yohan Song

Daniel J Lee

...

2023/1/1

Machine Learning Analysis of Physical Activity Data to Classify Postural Dysfunction

The Laryngoscope

Erik B Vanstrum

Janet S Choi

Yael Bensoussan

Alaina M Bassett

Matthew G Crowson

...

2023/12

Generation of synthetic tympanic membrane images: Development, human validation, and clinical implications of synthetic data

PLOS Digital Health

Krish Suresh

Michael S Cohen

Christopher J Hartnick

Ryan A Bartholomew

Daniel J Lee

...

2023/2/24

Prognostic Indicators of Persistent Postoperative Imbalance after Surgical Treatment of Vestibular Schwannoma

Journal of Neurological Surgery Part B: Skull Base

Mohamed Elkahwagi

Alejandro Garcia

Matthew Crowson

James Naples

Tim Smith

2023/2

Paediatric sleep apnea event prediction using nasal air pressure and machine learning

Journal of Sleep Research

Matthew G Crowson

Kevin S Gipson

Orna Katz Kadosh

Elizabeth Hartnick

Ellen Grealish

...

2023/8

Standardizing Machine Learning Manuscript Reporting in Otolaryngology‐Head & Neck Surgery

The Laryngoscope

Matthew G Crowson

Anais Rameau

2022/9

See List of Professors in Matthew G. Crowson University(Harvard University)

Co-Authors

H-index: 74
Alexandre F. R. Stewart

Alexandre F. R. Stewart

University of Ottawa

H-index: 48
Jenny K. Hoang

Jenny K. Hoang

Johns Hopkins University

H-index: 39
Seth M Cohen

Seth M Cohen

Duke University

H-index: 35
Timothy Chan

Timothy Chan

University of Toronto

H-index: 34
Ronna Hertzano

Ronna Hertzano

University of Maryland, Baltimore

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