Area of research
Oncology · Artificial Intelligence
Research interest
Research interests include Global Cancer Incidence and Screening, AI in cancer detection, Radiology practices and education, and Cutaneous Melanoma Detection and Management.
Differences in Long COVID severity by duration of illness, symptom evolution, and vaccination: a longitudinal cohort study from the INSPIRE group
Variability in Long COVID Definitions and Validation of Published Prevalence Rates
Artificial intelligence and computer-aided diagnosis in diagnostic decisions: 5 questions for medical informatics and human-computer interface research
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome After SARS-CoV-2 Infection
Severe Fatigue and Persistent Symptoms at 3 Months Following Severe Acute Respiratory Syndrome Coronavirus 2 Infections During the Pre-Delta, Delta, and Omicron Time Periods: A Multicenter Prospective Cohort Study
Revision of the Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis Classification Schema for Melanocytic Lesions
Prevalence of Symptoms ≤12 Months After Acute Illness, by COVID-19 Testing Status Among Adults — United States, December 2020–March 2023
Artificial Intelligence-Driven Mammography-Based Future Breast Cancer Risk Prediction: A Systematic Review
Long COVID Clinical Phenotypes up to 6 Months After Infection Identified by Latent Class Analysis of Self-Reported Symptoms
From Image to Diagnosis: Characterizing Sources of Error in Histopathologic Interpretation
Independent External Validation of Artificial Intelligence Algorithms for Automated Interpretation of Screening Mammography: A Systematic Review
External Validation of an Ensemble Model for Automated Mammography Interpretation by Artificial Intelligence
Association of Initial SARS-CoV-2 Test Positivity With Patient-Reported Well-being 3 Months After a Symptomatic Illness
An analysis of pathologists’ viewing processes as they diagnose whole slide digital images
Are Pathologists Self-Aware of Their Diagnostic Accuracy? Metacognition and the Diagnostic Process in Pathology
Words Matter: What Do Patients Find Judgmental or Offensive in Outpatient Notes?
Patients Contributing to Visit Notes: Mixed Methods Evaluation of OurNotes
Retrospective Detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in Symptomatic Patients Prior to Widespread Diagnostic Testing in Southern California
Frequency and Types of Patient-Reported Errors in Electronic Health Record Ambulatory Care Notes
The Views and Experiences of Clinicians Sharing Medical Record Notes With Patients
The invisible breast cancer: Experience does not protect against inattentional blindness to clinically relevant findings in radiology
Eye tracking reveals expertise-related differences in the time-course of medical image inspection and diagnosis
Pathology Trainees’ Experience and Attitudes on Use of Digital Whole Slide Images
OpenNotes After 7 Years: Patient Experiences With Ongoing Access to Their Clinicians’ Outpatient Visit Notes
A review of eye tracking for understanding and improving diagnostic interpretation
Patients Managing Medications and Reading Their Visit Notes: A Survey of OpenNotes Participants
Assessment of Machine Learning of Breast Pathology Structures for Automated Differentiation of Breast Cancer and High-Risk Proliferative Lesions
Pathologists’ diagnosis of invasive melanoma and melanocytic proliferations: observer accuracy and reproducibility study
Patient Access to Online Radiology Reports
Characteristics associated with nonadherence to medications for hypertension, diabetes, and dyslipidemia among breast cancer survivors