Texas Tech University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
How the nursing profession should adapt for a digital future
Richard Booth, Gillian Strudwick, Susan McBride et al.
2021 · 263 Zit.
Artificial intelligence (A.I.) in dental curricula: Ethics and responsible integration
Clara S. Kim, Cheryl Samaniego, Saulo Leonardo Sousa Melo et al.
2023 · 59 Zit.
Academic Journal Retractions and the COVID-19 Pandemic
Caleb Anderson, Kenneth Nugent, Christopher Peterson
2021 · 52 Zit.
Predicting Inpatient Payments Prior to Lower Extremity Arthroplasty Using Deep Learning: Which Model Architecture Is Best?
Jaret M. Karnuta, Sergio M. Navarro, Heather S. Haeberle et al.
2019 · 35 Zit.
Assessing ChatGPT’s orthopedic in-service training exam performance and applicability in the field
Neil Jain, Caleb Gottlich, John C. Fisher et al.
2024 · 31 Zit.
ChatGPT Earns American Board Certification in Hand Surgery
Diane Ghanem, Joseph E. Nassar, Joseph El Bachour et al.
2024 · 28 Zit.
Prompt Engineering for Nurse Educators
Grace H. Sun
2024 · 26 Zit.
AI-Driven Patient Education in Chronic Kidney Disease: Evaluating Chatbot Responses against Clinical Guidelines
Prakrati Acharya, R. Maniega Alba, Pajaree Krisanapan et al.
2024 · 23 Zit.
Healthcare analytics: A techno-functional perspective
Sumanta Singha, Himanshu Arha, Arpan Kumar Kar
2023 · 23 Zit.
The Transformative Role of Artificial Intelligence in Plastic and Reconstructive Surgery: Challenges and Opportunities
Masab Mansoor, Andrew Ibrahim
2025 · 21 Zit.
Current Applications of Artificial Intelligence in Billing Practices and Clinical Plastic Surgery
Christina Zhu, Pradeep K. Attaluri, Peter J. Wirth et al.
2024 · 20 Zit.
COVID-19 article retractions in journals indexed in PubMed
Christopher Peterson, Robert Alexander, Kenneth Nugent
2022 · 18 Zit.
Algorithmic Nudge: An Approach to Designing Human-Centered Generative Artificial Intelligence
Donghee Shin, Norita Ahmad
2023 · 15 Zit.
Artificial intelligence‐assisted analysis of musculoskeletal imaging—A narrative review of the current state of machine learning models
Felix C. Oettl, Bálint Zsidai, Jacob F. Oeding et al.
2025 · 12 Zit.
Generative artificial intelligence versus clinicians: Who diagnoses multiple sclerosis faster and with greater accuracy?
Mahi A. Patel, Francisco J. Villalobos, Kevin Shan et al.
2024 · 11 Zit.