Ben Fine

Ben Fine

University of Toronto

H-index: 10

North America-Canada

About Ben Fine

Ben Fine, With an exceptional h-index of 10 and a recent h-index of 9 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Health systems research, Machine learning, Quality improvement.

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

The Subgroup Imperative: Chest Radiograph Classifier Generalization Gaps in Patient, Setting, and Pathology Subgroups

Assessment of radiology artificial intelligence software: A validation and evaluation framework

U “AI” Testing: User Interface and Usability Testing of a Chest X-ray AI Tool in a Simulated Real-World Workflow

Hurdles to Artificial Intelligence Deployment: Noise in Schemas and “Gold” Labels

Explainable artificial intelligence to predict the risk of side-specific extraprostatic extension in pre-prostatectomy patients

The Challenge Dataset-simple evaluation for safe, transparent healthcare AI deployment

How artificial intelligence can help us ‘Choose Wisely’

Machine learning for automation of radiology protocols for quality and efficiency improvement

Ben Fine Information

University

Position

Operational Analytics Lab Trillium Health Partners

Citations(all)

1005

Citations(since 2020)

479

Cited By

684

hIndex(all)

10

hIndex(since 2020)

9

i10Index(all)

10

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Ben Fine Skills & Research Interests

Health systems research

Machine learning

Quality improvement

Top articles of Ben Fine

The Subgroup Imperative: Chest Radiograph Classifier Generalization Gaps in Patient, Setting, and Pathology Subgroups

Radiology: Artificial Intelligence

2023/7/12

Assessment of radiology artificial intelligence software: A validation and evaluation framework

Canadian Association of Radiologists Journal

2023/5

U “AI” Testing: User Interface and Usability Testing of a Chest X-ray AI Tool in a Simulated Real-World Workflow

Canadian Association of Radiologists Journal

2023/5

Hurdles to Artificial Intelligence Deployment: Noise in Schemas and “Gold” Labels

Radiology: Artificial Intelligence

2023/1/11

Explainable artificial intelligence to predict the risk of side-specific extraprostatic extension in pre-prostatectomy patients

Canadian Urological Association Journal

2022/6

The Challenge Dataset-simple evaluation for safe, transparent healthcare AI deployment

medRxiv

2022

How artificial intelligence can help us ‘Choose Wisely’

Bioelectronic Medicine

2021/4/21

Machine learning for automation of radiology protocols for quality and efficiency improvement

Journal of the American College of Radiology

2020/9/1

Characterizing early Canadian federal, provincial, territorial and municipal nonpharmaceutical interventions in response to COVID-19: a descriptive analysis

Canadian Medical Association Open Access Journal

2020/7/1

CAN-NPI: a curated open dataset of Canadian non-pharmaceutical interventions in response to the global COVID-19 pandemic

2020

Utility and Perceived Value of a Provincial Digital Diagnostic Imaging Repository: Multimethod Study

JMIR Formative Research

2020

Ben Fine
Ben Fine

H-Index: 8

Sharing is Caring: Exploring machine learning-enabled methods for regional medical imaging exchange using procedure metadata

AMIA Summits on Translational Science Proceedings

2020

See List of Professors in Ben Fine University(University of Toronto)