Atul J. Butte

Atul J. Butte

University of California, San Francisco

H-index: 107

North America-United States

About Atul J. Butte

Atul J. Butte, With an exceptional h-index of 107 and a recent h-index of 76 (since 2020), a distinguished researcher at University of California, San Francisco, specializes in the field of Electronic Health Records, Precision Medicine, Real World Evidence, Diabetes, Translational Bioinformatics.

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

To do no harm—and the most good—with AI in health care

The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review

Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study

Accurate, Robust, and Scalable Machine Abstraction of Mayo Endoscopic Subscores from Colonoscopy Reports

Learning epistatic polygenic phenotypes with Boolean interactions

Aligning synthetic medical images with clinical knowledge using human feedback

Real‐world effectiveness of ustekinumab and vedolizumab in TNF‐exposed pediatric patients with ulcerative colitis

Abstract B074: Clinical inference of location and trajectory of pancreatic cancer from radiology reports using zero-shot LLM

Atul J. Butte Information

University

Position

Director Bakar Computational Health Sciences Institute

Citations(all)

57314

Citations(since 2020)

32600

Cited By

33472

hIndex(all)

107

hIndex(since 2020)

76

i10Index(all)

293

i10Index(since 2020)

231

Email

University Profile Page

University of California, San Francisco

Google Scholar

View Google Scholar Profile

Atul J. Butte Skills & Research Interests

Electronic Health Records

Precision Medicine

Real World Evidence

Diabetes

Translational Bioinformatics

Top articles of Atul J. Butte

Title

Journal

Author(s)

Publication Date

To do no harm—and the most good—with AI in health care

Carey Beth Goldberg

Laura Adams

David Blumenthal

Patricia Flatley Brennan

Noah Brown

...

2024/2/22

The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review

Zsombor Zrubka

Gábor Kertész

László Gulácsi

János Czere

Áron Hölgyesi

...

2024/1/19

Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study

The Lancet Digital Health

Travis Zack

Eric Lehman

Mirac Suzgun

Jorge A Rodriguez

Leo Anthony Celi

...

2024/1/1

Accurate, Robust, and Scalable Machine Abstraction of Mayo Endoscopic Subscores from Colonoscopy Reports

Inflammatory Bowel Diseases

Anna L Silverman

Balu Bhasuran

Arman Mosenia

Fatema Yasini

Gokul Ramasamy

...

2024/3/26

Learning epistatic polygenic phenotypes with Boolean interactions

Plos one

Merle Behr

Karl Kumbier

Aldo Cordova-Palomera

Matthew Aguirre

Omer Ronen

...

2024/4/16

Aligning synthetic medical images with clinical knowledge using human feedback

Advances in Neural Information Processing Systems

Shenghuan Sun

Greg Goldgof

Atul Butte

Ahmed M Alaa

2024/2/13

Real‐world effectiveness of ustekinumab and vedolizumab in TNF‐exposed pediatric patients with ulcerative colitis

Journal of Pediatric Gastroenterology and Nutrition

Perseus V Patel

Amy Zhang

Balu Bhasuran

Vignesh G Ravindranath

Melvin B Heyman

...

2024/3/14

Abstract B074: Clinical inference of location and trajectory of pancreatic cancer from radiology reports using zero-shot LLM

Cancer Research

Travis Ian Zack

Madhumita Sushil

Brenda Miao

Arda Demirci

Corynn Kasap

...

2024/1/16

Evaluating large language models as agents in the clinic

npj Digital Medicine

Nikita Mehandru

Brenda Y Miao

Eduardo Rodriguez Almaraz

Madhumita Sushil

Atul J Butte

...

2024/4/3

Predictive Modeling of Drug‐Related Adverse Events with Real‐World Data: A Case Study of Linezolid Hematologic Outcomes

Clinical Pharmacology & Therapeutics

Anu Patel

Sarah B Doernberg

Travis Zack

Atul J Butte

Kendra K Radtke

2024/2/12

Updating the Minimum Information about CLinical Artificial Intelligence (MI-CLAIM) checklist for generative modeling research

arXiv preprint arXiv:2403.02558

Brenda Y Miao

Irene Y Chen

Christopher YK Williams

Jaysón Davidson

Augusto Garcia-Agundez

...

2024/3/5

Evaluating Large Language Models for Drafting Emergency Department Discharge Summaries

medRxiv

Christopher YK Williams

Jaskaran Bains

Tianyu Tang

Kishan Patel

Alexa N Lucas

...

2024

Immunological Profiling of Pain in Knee Osteoarthritis: Treg Cells as Potential New Key Players in Symptomatic Knee Osteoarthritis.

Osteoarthritis and Cartilage

Marie Binvignat

Johanna Dubois

Nicolas Tchitchek

Michelle Rosenzwajg

Michèle Barbier

...

2024/4/1

Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing

Brenda Y Miao

Madhumita Sushil

Ava Xu

Michelle Wang

Douglas Arneson

...

2024/3/1

Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models

arXiv preprint arXiv:2402.03597

Brenda Y Miao

Christopher YK Williams

Ebenezer Chinedu-Eneh

Travis Zack

Emily Alsentzer

...

2024/2/6

Generation of guideline-based clinical decision trees in oncology using large language models

medRxiv

Brenda Y Miao

Eduardo Rodriguez Almaraz

Amir Ashraf Ganjouei

Arvind Suresh

Travis Zack

...

2024

Topic modeling on clinical social work notes for exploring social determinants of health factors

JAMIA open

Shenghuan Sun

Travis Zack

Christopher YK Williams

Madhumita Sushil

Atul J Butte

2024/4/1

Cross-institution natural language processing for reliable clinical association studies: a methodological exploration

Journal of Clinical Epidemiology

Madhumita Sushil

Atul J Butte

Ewoud Schuit

Maarten van Smeden

Artuur M Leeuwenberg

2024/3/1

A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification

arXiv preprint arXiv:2401.13887

Madhumita Sushil

Travis Zack

Divneet Mandair

Zhiwei Zheng

Ahmed Wali

...

2024/1/25

CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods

Null Null

Shantanu Jain

Constantina Bakolitsa

Steven E Brenner

Predrag Radivojac

...

2024

See List of Professors in Atul J. Butte University(University of California, San Francisco)

Co-Authors

H-index: 219
C. Ronald Kahn

C. Ronald Kahn

Harvard University

H-index: 167
Mark M. Davis

Mark M. Davis

Stanford University

H-index: 118
Isaac Kohane

Isaac Kohane

Harvard University

H-index: 95
Euan A. Ashley

Euan A. Ashley

Stanford University

H-index: 74
Joel Dudley

Joel Dudley

Icahn School of Medicine at Mount Sinai

H-index: 65
Purvesh Khatri

Purvesh Khatri

Stanford University

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