Joseph Finkelstein

University of Arizona — United States

Health Professions · Health Sciences

42h-index7.1kcitations404works3.42yr avg
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Research Topics

Mobile Health and mHealth Applications(50), Telemedicine and Telehealth Implementation(47), Machine Learning in Healthcare(30), Stroke Rehabilitation and Recovery(27), Heart Rate Variability and Autonomic Control(25)

Publications403 total

Perception of AI Symptom Models in Oncology Nursing: Mixed Methods Evaluation Study
JMIR Nursing·2026Open Access
Early Prediction of Alzheimer's Disease and Related Dementias Using Machine Learning and Claims Data
2026
Plasma cell-free DNA methylation-based prognosis in metastatic castrate-resistant prostate cancer
npj Precision Oncology·2025Open Access
Toward Contactless HRV: Validation of Radar-Derived Heart Inter-Beat Variability
2025
Human–AI Collaboration Pipeline for Thematic Analysis: Example of VR-Supported Pulmonary Rehabilitation
2025
Contactless Estimation of Blood Pressure Changes Using Radar-Derived Heart Sounds and Peripheral PPG
2025
The Consistency of Hypercapnic Respiratory Failure Case Definitions in Electronic Health Record Data
CHEST Journal·2025Open Access
Leveraging LLMs for Early Diagnosis in the Emergency Department: Comparing ClinicalBERT and GPT-4
Studies in health technology and informatics·2025· 3 citedOpen Access
Unveiling Pharmacogenomic Patterns in Breast Cancer Through Big Data
Studies in health technology and informatics·2025Open Access
Performance of Open-Source Large Language Models to Extract Symptoms from Clinical Notes
Studies in health technology and informatics·2025· 1 citedOpen Access
Promoting Safety and Quality of Home-Based Exercise Using IoT Architecture
Studies in health technology and informatics·2025· 2 citedOpen Access
Telemedicine-Supported Exercise Interventions in Hematopoietic Stem Cell Transplantation: A Scoping Review
International Journal of General Medicine·2025· 2 citedOpen Access
Hybrid Deep Learning for Early Detection of Symptom Escalation in Patients with Cancer
2025· 1 cited
Modeling Perceived Exertion with Deep Neural Networks and Wearable Sensors
2025· 1 cited
Utilizing Open-Source Large Language Models to Extract Genitourinary Symptoms from Clinical Notes
Studies in health technology and informatics·2025Open Access
Smart Wearable Analytics for Cycling: AI-Based Physical Exertion Prediction
Studies in health technology and informatics·2025· 2 citedOpen Access
Machine Learning Approaches for Predicting Mortality in Metastatic Castration-Resistant Prostate Cancer
Studies in health technology and informatics·2025Open Access
Leveraging LLMs for Early Diagnosis: Comparing ClinicalBERT and GPT-4 to Address Diagnostic Uncertainty in the Emergency Department
Studies in health technology and informatics·2025· 1 citedOpen Access
Evaluating Misalignment Between Emergency Department and Discharge Diagnoses
Studies in health technology and informatics·2025· 1 citedOpen Access
Leveraging Generative AI to Overcome Language Barriers in Healthcare
Studies in health technology and informatics·2025· 1 citedOpen Access
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Frequent Co-authors

Raymond K. Cross(7), Manuel R. Cabrera(5), George Hripcsak(5), Akhil Vaid(4), Sulaiman Somani(4), Adam Russak(4), Jessica K. De Freitas(4), Ishan Paranjpe(4), Kipp W. Johnson(4), Riccardo Miotto(4), Arash Kia(4), Prem Timsina(4), Anuradha Lala(4), Eddye Golden(4), Matteo Danieletto(4), Manbir Singh(4), Dara Meyer(4), Paul F. O’Reilly(4), Laura M. Huckins(4), Patricia Kovatch(4)