Pranav Rajpurkar

Pranav Rajpurkar

Stanford University

H-index: 35

North America-United States

About Pranav Rajpurkar

Pranav Rajpurkar, With an exceptional h-index of 35 and a recent h-index of 34 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Biomedical Informatics, AI for Medicine, AI for Healthcare, Medical Imaging.

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

The MAIDA initiative: establishing a framework for global medical-imaging data sharing

CRAFT-MD: A Conversational Evaluation Framework for Comprehensive Assessment of Clinical LLMs

Adapting Segment Anything Models to Medical Imaging via Fine-Tuning without Domain Pretraining

Video pretraining advances 3D deep learning on chest CT tasks

Multimodal image-text matching improves retrieval-based chest x-ray report generation

Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review

Evaluating General Vision-Language Models for Clinical Medicine

Heterogeneity and predictors of the effects of AI assistance on radiologists

Pranav Rajpurkar Information

University

Position

___

Citations(all)

24474

Citations(since 2020)

23049

Cited By

8293

hIndex(all)

35

hIndex(since 2020)

34

i10Index(all)

58

i10Index(since 2020)

58

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Pranav Rajpurkar Skills & Research Interests

Biomedical Informatics

AI for Medicine

AI for Healthcare

Medical Imaging

Top articles of Pranav Rajpurkar

Title

Journal

Author(s)

Publication Date

The MAIDA initiative: establishing a framework for global medical-imaging data sharing

The Lancet Digital Health

Agustina Saenz

Emma Chen

Henrik Marklund

Pranav Rajpurkar

2024/1/1

CRAFT-MD: A Conversational Evaluation Framework for Comprehensive Assessment of Clinical LLMs

Shreya Johri

Jaehwan Jeong

Benjamin A Tran

Daniel I Schlessinger

Shannon Wongvibulsin

...

2024/3/1

Adapting Segment Anything Models to Medical Imaging via Fine-Tuning without Domain Pretraining

Kevin Li

Pranav Rajpurkar

2024/3/1

Video pretraining advances 3D deep learning on chest CT tasks

Alexander Ke

Shih-Cheng Huang

Chloe P O’Connell

Michal Klimont

Serena Yeung

...

2024/1/23

Multimodal image-text matching improves retrieval-based chest x-ray report generation

Jaehwan Jeong

Katherine Tian

Andrew Li

Sina Hartung

Subathra Adithan

...

2024/1/23

Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review

Ryan Han

Julián N Acosta

Zahra Shakeri

John PA Ioannidis

Eric J Topol

...

2024/5/1

Evaluating General Vision-Language Models for Clinical Medicine

medRxiv

Yixing Jiang

Jesutofunmi A Omiye

Cyril Zakka

Michael Moor

Haiwen Gui

...

2024/4/14

Heterogeneity and predictors of the effects of AI assistance on radiologists

Nature Medicine

Feiyang Yu

Alex Moehring

Oishi Banerjee

Tobias Salz

Nikhil Agarwal

...

2024/3/19

AI-based pathologic biomarker for pathologic downstaging in patients with muscle-invasive bladder cancer undergoing cystectomy after neoadjuvant nivolumab, gemcitabine, and …

Viswesh Krishna

Guru P Sonpavde

Sumati Gupta

Benjamin L Maughan

Neeraj Agarwal

...

2023/6/1

Autonomous AI systems in the face of liability, regulations and costs

Agustina D Saenz

Zach Harned

Oishi Banerjee

Michael D Abràmoff

Pranav Rajpurkar

2023/10/6

Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine

Advances in Neural Information Processing Systems

Emma Chen

Aman Kansal

Julie Chen

Boyang Tom Jin

Julia Reisler

...

2024/2/13

RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction

Sameer Khanna

Adam Dejl

Kibo Yoon

Steven QH Truong

Hanh Duong

...

2023/12/22

Testing the Limits of Language Models: A Conversational Framework for Medical AI Assessment

medRxiv

Shreya Johri

Jaehwan Jeong

Benjamin A Tran

Daniel I Schlessinger

Shannon Wongvibulsin

...

2023/1/1

Predicting patient decompensation from continuous physiologic monitoring in the emergency department

NPJ Digital Medicine

Sameer Sundrani

Julie Chen

Boyang Tom Jin

Zahra Shakeri Hossein Abad

Pranav Rajpurkar

...

2023/4/4

The Current and Future State of AI Interpretation of Medical Images

Pranav Rajpurkar

Matthew P Lungren

2023/5/25

Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting

arXiv preprint arXiv:2310.17811

Benjamin Yan

Ruochen Liu

David E Kuo

Subathra Adithan

Eduardo Pontes Reis

...

2023/10/26

Guidelines For Rigorous Evaluation of Clinical LLMs For Conversational Reasoning

medRxiv

Shreya Johri

Jaehwan Jeong

Benjamin A Tran

Daniel I Schlessinger

Shannon Wongvibulsin

...

2023/9/12

Med-flamingo: a multimodal medical few-shot learner

Michael Moor

Qian Huang

Shirley Wu

Michihiro Yasunaga

Yash Dalmia

...

2023/12/4

Targeted plasma metabolomics combined with machine learning for the diagnosis of severe acute respiratory syndrome virus type 2

Frontiers in Microbiology

Anthony T Le

Manhong Wu

Afraz Khan

Nicholas Phillips

Pranav Rajpurkar

...

2023/3/29

Radiology Report Expert Evaluation (ReXVal) Dataset

Feiyang Yu

Mark Endo

Rayan Krishnan

Ian Pan

Andy Tsai

...

2023

See List of Professors in Pranav Rajpurkar University(Stanford University)

Co-Authors

H-index: 144
Andrew Ng

Andrew Ng

Stanford University

H-index: 116
Leanne M Williams

Leanne M Williams

Stanford University

H-index: 108
Sanjay Basu, MD, PhD

Sanjay Basu, MD, PhD

Harvard University

H-index: 95
Percy Liang

Percy Liang

Stanford University

H-index: 77
Nigam Shah

Nigam Shah

Stanford University

H-index: 66
Curtis P. Langlotz

Curtis P. Langlotz

Stanford University

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