Robert Harrington

About

Robert Harrington is the Arthur L. Bloomfield Professor of Medicine and also holds a courtesy appointment as a Professor of Health Policy at Stanford University. He is associated with the Center for Artificial Intelligence in Medicine & Imaging (AIMI) at Stanford, where his work focuses on the integration of artificial intelligence into medical and imaging sciences. His role involves advancing research in these areas, contributing to the development of innovative healthcare solutions through AI, and engaging in academic leadership within the center.

Research topics

• Medicine
• Internal medicine
• Computer Science
• Artificial Intelligence
• Intensive care medicine
• Cardiology
• Virology
• Machine Learning
• Pathology
• Environmental health

Selected publications

• Initial Invasive or Conservative Strategy for Stable Coronary Disease

  New England Journal of Medicine · 2020 · 2358 citations

  BACKGROUND: Among patients with stable coronary disease and moderate or severe ischemia, whether clinical outcomes are better in those who receive an invasive intervention plus medical therapy than in those who receive medical therapy alone is uncertain. METHODS: We randomly assigned 5179 patients with moderate or severe ischemia to an initial invasive strategy (angiography and revascularization when feasible) and medical therapy or to an initial conservative strategy of medical therapy alone an…

  DOI

• Video-based AI for beat-to-beat assessment of cardiac function

  Nature · 2020 · 1005 citations

  DOI

• Diagnosis and Treatment of Acute Coronary Syndromes

  JAMA · 2022 · 729 citations

  Senior authorCorresponding

  IMPORTANCE: Acute coronary syndromes (ACS) are characterized by a sudden reduction in blood supply to the heart and include ST-segment elevation myocardial infarction (STEMI), non-STEMI (NSTEMI), and unstable angina. Each year, an estimated more than 7 million people in the world are diagnosed with ACS, including more than 1 million patients hospitalized in the US. OBSERVATIONS: Chest discomfort at rest is the most common presenting symptom of ACS and affects approximately 79% of men and 74% of…

  DOI

• Deep learning interpretation of echocardiograms

  npj Digital Medicine · 2020 · 468 citations

  = 0.33). Interpretation analysis validates that EchoNet shows appropriate attention to key cardiac structures when performing human-explainable tasks and highlights hypothesis-generating regions of interest when predicting systemic phenotypes difficult for human interpretation. Machine learning on echocardiography images can streamline repetitive tasks in the clinical workflow, provide preliminary interpretation in areas with insufficient qualified cardiologists, and predict phenotypes challengi…

  DOI

• Comparative Effectiveness of Aspirin Dosing in Cardiovascular Disease

  New England Journal of Medicine · 2021 · 298 citations

  BACKGROUND: The appropriate dose of aspirin to lower the risk of death, myocardial infarction, and stroke and to minimize major bleeding in patients with established atherosclerotic cardiovascular disease is a subject of controversy. METHODS: Using an open-label, pragmatic design, we randomly assigned patients with established atherosclerotic cardiovascular disease to a strategy of 81 mg or 325 mg of aspirin per day. The primary effectiveness outcome was a composite of death from any cause, hosp…

  DOI

Recent grants

• The ISCHEMIA Trial - SDCC

  NIH · $17.8M · 2011–2022

Frequent coauthors

• Philippe Gabríel Steg

  Université Paris Cité

  1919 shared

• Kenneth W. Mahaffey

  Center for Clinical Research (United States)

  1821 shared

• Harvey D. White

  Greenlane Clinical Centre

  1801 shared

• Deepak L. Bhatt

  Cornell University

  1378 shared

• Paul W. Armstrong

  Canadian VIGOUR Centre

  1113 shared

• Neal S. Kleiman

  Methodist Hospital

  998 shared

• Eric J. Topol

  Scripps Clinic

  966 shared

• Gregg W. Stone

  Icahn School of Medicine at Mount Sinai

  959 shared

Similar researchers at Stanford University

• Michael Snyderh-215
• Ronald Davish-183
• Robert Westh-146