Keith Dreyer

Keith Dreyer

Harvard University

H-index: 33

North America-United States

About Keith Dreyer

Keith Dreyer, With an exceptional h-index of 33 and a recent h-index of 26 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Clinical Informatics, Radiology, Artificial Intelligence.

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

DETECTION OF HYPERTROPHIC CARDIOMYOPATHY ON ELECTROCARDIOGRAM USING ARTIFICIAL INTELLIGENCE

Projected growth in FDA-approved artificial intelligence products given venture capital funding

The lucent yet opaque challenge of regulating artificial intelligence in radiology

Real-World Performance of Large Vessel Occlusion Artificial Intelligence–Based Computer-Aided Triage and Notification Algorithms—What the Stroke Team Needs to Know

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

Proactive Polypharmacy Management Using Large Language Models: Opportunities to Enhance Geriatric Care

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

Empathy and Equity: Key Considerations for Large Language Model Adoption in Health Care

Keith Dreyer Information

University

Position

Havard Medical School, Massachusetts General Hospital

Citations(all)

5193

Citations(since 2020)

3698

Cited By

2527

hIndex(all)

33

hIndex(since 2020)

26

i10Index(all)

70

i10Index(since 2020)

48

Email

University Profile Page

Google Scholar

Keith Dreyer Skills & Research Interests

Clinical Informatics

Radiology

Artificial Intelligence

Top articles of Keith Dreyer

DETECTION OF HYPERTROPHIC CARDIOMYOPATHY ON ELECTROCARDIOGRAM USING ARTIFICIAL INTELLIGENCE

Journal of the American College of Cardiology

2024/4/2

Projected growth in FDA-approved artificial intelligence products given venture capital funding

Journal of the American College of Radiology

2024/4/1

Keith Dreyer
Keith Dreyer

H-Index: 19

The lucent yet opaque challenge of regulating artificial intelligence in radiology

npj Digital Medicine

2024/3/15

Real-World Performance of Large Vessel Occlusion Artificial Intelligence–Based Computer-Aided Triage and Notification Algorithms—What the Stroke Team Needs to Know

Journal of the American College of Radiology

2024/2/1

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

medRxiv

2024

Proactive Polypharmacy Management Using Large Language Models: Opportunities to Enhance Geriatric Care

Journal of Medical Systems

2024/12

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

Empathy and Equity: Key Considerations for Large Language Model Adoption in Health Care

JMIR Medical Education

2023/12/28

Adam Landman
Adam Landman

H-Index: 20

Keith Dreyer
Keith Dreyer

H-Index: 19

Radiologist-trained AI model for identifying suboptimal chest-radiographs

Academic Radiology

2023/12/1

Evaluating GPT as an adjunct for radiologic decision making: GPT-4 versus GPT-3.5 in a breast imaging pilot

Journal of the American College of Radiology

2023/10/1

Assessing the utility of ChatGPT throughout the entire clinical workflow: development and usability study

Journal of Medical Internet Research

2023/8/22

Real-World Performance of Large Vessel Occlusion CADt AI Algorithms-What the Stroke Team needs to know.

Journal of the American College of Radiology: JACR

2023/5/15

Specialty society support for multicenter research in artificial intelligence

Academic Radiology

2023/4/1

Keith Dreyer
Keith Dreyer

H-Index: 19

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

Journal of the American College of Radiology

2023/3/1

Automatic segmentation and measurement of tracheal collapsibility in tracheomalacia

Clinical Imaging

2023/3/1

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

Diagnostics

2023/2/18

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

Suboptimal chest radiography and artificial intelligence: the problem and the solution

2023/1/23

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

medRxiv

2023/1/18

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

Scientific Reports

2023/1/5

See List of Professors in Keith Dreyer University(Harvard University)