OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 07.04.2026, 05:22

Cleveland Clinic Lerner College of Medicine

20.147 Arbeiten2.032.273 Zitationen
Land: USTyp: healthcare

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Machine learning in haematological malignancies

Nathan Radakovich, Matthew Nagy, Aziz Nazha

2020 · 113 Zit.

Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19

Gunjan Arora, Jayadev Joshi, Rahul Shubhra Mandal et al.

2021 · 91 Zit.

Artificial Intelligence and Mapping a New Direction in Laboratory Medicine: A Review

Daniel S. Herman, Daniel D. Rhoads, Wade L. Schulz et al.

2021 · 71 Zit.

Machine Learning in Oncology: What Should Clinicians Know?

Matthew Nagy, Nathan Radakovich, Aziz Nazha

2020 · 69 Zit.

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update

Vahid Jalili, Enis Afgan, Qiang Gu et al.

2020 · 60 Zit.

How Will Artificial Intelligence Affect Patient-Clinician Relationships?

Matthew Nagy, Bryan A. Sisk

2020 · 50 Zit.

Artificial Intelligence in Hematology: Current Challenges and Opportunities

Nathan Radakovich, Matthew Nagy, Aziz Nazha

2020 · 48 Zit.

Artificial Intelligence in Radiology Residency Training

Michael C. Forney, Aaron McBride

2020 · 37 Zit.

Role of artificial intelligence in early diagnosis and treatment of infectious diseases

Vartika Srivastava, Ravinder Kumar, Mohmmad Younus Wani et al.

2024 · 34 Zit.

How Artificial Intelligence Could Redefine Clinical Trials in Cardiovascular Medicine: Lessons Learned from Oncology

Chayakrit Krittanawong, Kipp W. Johnson, W.H. Wilson Tang

2019 · 33 Zit.

Big data, artificial intelligence, and cardiovascular precision medicine

Chayakrit Krittanawong, Kipp W. Johnson, Steven G. Hershman et al.

2018 · 31 Zit.

Policy Implications of Artificial Intelligence and Machine Learning in Diabetes Management

David T. Broome, C. Beau Hilton, Neil Mehta

2020 · 28 Zit.

Building the Model

He S. Yang, Daniel D. Rhoads, Jorge L. Sepulveda et al.

2022 · 26 Zit.

Why Machine Learning Should Be Taught in Medical Schools

Matthew Nagy, Nathan Radakovich, Aziz Nazha

2022 · 17 Zit.

Temporal Trends, Characteristics, and Citations of Retracted Articles in Cardiovascular Medicine

Raoul Wadhwa, Chandruganesh Rasendran, Zoran Popović et al.

2021 · 14 Zit.