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Bernardo Bizzo

Bernardo Bizzo

Harvard University

H-index: 17

North America-United States

Contact Bernardo Bizzo

About Bernardo Bizzo

Bernardo Bizzo, With an exceptional h-index of 17 and a recent h-index of 16 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Radiology, Medical and Health Informatics, Image Processing and Analysis, Machine Learning, Clinical Decision Support.

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

No-code machine learning in radiology: implementation and validation of a platform that allows clinicians to train their own models

A Closer Look at the Biden Administration’s Executive Order on AI: Implications for the Imaging Space

DETECTION OF HYPERTROPHIC CARDIOMYOPATHY ON ELECTROCARDIOGRAM USING ARTIFICIAL INTELLIGENCE

The lucent yet opaque challenge of regulating artificial intelligence in radiology

Radiologist-trained AI model for identifying suboptimal chest-radiographs

CTA large vessel occlusion model

Detection of idiopathic normal pressure hydrocephalus on head CT using a deep convolutional neural network

Addressing the challenges of implementing artificial intelligence tools in clinical practice: principles from experience

Bernardo Bizzo Information

University

Position

Massachusetts General Hospital, Harvard Medical School

Citations(all)

1491

Citations(since 2020)

1450

Cited By

176

hIndex(all)

17

hIndex(since 2020)

16

i10Index(all)

29

i10Index(since 2020)

28

Email

University Profile Page

Google Scholar

Bernardo Bizzo Skills & Research Interests

Radiology

Medical and Health Informatics

Image Processing and Analysis

Machine Learning

Clinical Decision Support

Top articles of Bernardo Bizzo

No-code machine learning in radiology: implementation and validation of a platform that allows clinicians to train their own models

medRxiv

2024

Mark Walters
Mark Walters

H-Index: 10

A Closer Look at the Biden Administration’s Executive Order on AI: Implications for the Imaging Space

Journal of the American College of Radiology

2024/4/26

Vrushab Gowda
Vrushab Gowda

H-Index: 5

Keith Dreyer
Keith Dreyer

H-Index: 19

Bernardo Bizzo
Bernardo Bizzo

H-Index: 7

DETECTION OF HYPERTROPHIC CARDIOMYOPATHY ON ELECTROCARDIOGRAM USING ARTIFICIAL INTELLIGENCE

Journal of the American College of Cardiology

2024/4/2

David Bargiela
David Bargiela

H-Index: 10

David Gross
David Gross

H-Index: 8

Keith Dreyer
Keith Dreyer

H-Index: 19

Carolyn Ho
Carolyn Ho

H-Index: 42

The lucent yet opaque challenge of regulating artificial intelligence in radiology

npj Digital Medicine

2024/3/15

Jeremias Adams-Prassl
Jeremias Adams-Prassl

H-Index: 14

Radiologist-trained AI model for identifying suboptimal chest-radiographs

Academic Radiology

2023/12/1

Parisa Kaviani
Parisa Kaviani

H-Index: 1

Shadi Ebrahimian
Shadi Ebrahimian

H-Index: 5

Nir Neumark
Nir Neumark

H-Index: 5

CTA large vessel occlusion model

2023/9/12

Detection of idiopathic normal pressure hydrocephalus on head CT using a deep convolutional neural network

Neural Computing and Applications

2023/5

Addressing the challenges of implementing artificial intelligence tools in clinical practice: principles from experience

Journal of the American College of Radiology

2023/3/1

Benjamin Miller
Benjamin Miller

H-Index: 29

Thomas Schultz
Thomas Schultz

H-Index: 12

Automatic segmentation and measurement of tracheal collapsibility in tracheomalacia

Clinical Imaging

2023/3/1

Shadi Ebrahimian
Shadi Ebrahimian

H-Index: 5

Auto-detection of motion artifacts on ct pulmonary angiograms with a physician-trained ai algorithm

Diagnostics

2023/2/18

Parisa Kaviani
Parisa Kaviani

H-Index: 1

Shadi Ebrahimian
Shadi Ebrahimian

H-Index: 5

Nir Neumark
Nir Neumark

H-Index: 5

Performance of threshold-based stone segmentation and radiomics for determining the composition of kidney stones from single-energy CT

Japanese Journal of Radiology

2023/2

Parisa Kaviani
Parisa Kaviani

H-Index: 1

Bernardo Bizzo
Bernardo Bizzo

H-Index: 7

Shadi Ebrahimian
Shadi Ebrahimian

H-Index: 5

Enhanced physician performance when using an artificial intelligence model to detect ischemic stroke on computed tomography

medRxiv

2023/1/18

John Conklin
John Conklin

H-Index: 17

Sayon Dutta
Sayon Dutta

H-Index: 3

Ajay Singh
Ajay Singh

H-Index: 43

Tianhao Zhang
Tianhao Zhang

H-Index: 2

Head CT deep learning model is highly accurate for early infarct estimation

Scientific Reports

2023/1/5

Walter F Wiggins
Walter F Wiggins

H-Index: 6

Medical imaging stroke model

2023/1/3

Evaluation of an artificial intelligence model for identification of intracranial hemorrhage subtypes on computed tomography of the head

JAMA Network Open

2022/12/1

Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19

Medicine

2022/7/22

Mehak Aggarwal
Mehak Aggarwal

H-Index: 2

Sharut Gupta
Sharut Gupta

H-Index: 3

Praveer Singh
Praveer Singh

H-Index: 10

Min Lang
Min Lang

H-Index: 14

Jayashree Kalpathy-Cramer
Jayashree Kalpathy-Cramer

H-Index: 37

Determining degree of motion using machine learning to improve medical image quality

2022/6/21

Predictive values of AI-based triage model in suboptimal CT pulmonary angiography

Clinical Imaging

2022/6/1

Shadi Ebrahimian
Shadi Ebrahimian

H-Index: 5

Computed tomography medical imaging stroke model

2022/5/17

Identification of early ischemia on non-contrast CT head using artificial intelligence (S6. 007)

2022/5/3

Bernardo Bizzo
Bernardo Bizzo

H-Index: 7

John Chin
John Chin

H-Index: 3

Keith Dreyer
Keith Dreyer

H-Index: 19

See List of Professors in Bernardo Bizzo University(Harvard University)