Johnson University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Zeeshan Ahmed, Khalid Gaffer Mohamed, Saman Zeeshan et al.
2020 · 975 Zit.
Potential for GPT Technology to Optimize Future Clinical Decision-Making Using Retrieval-Augmented Generation
Calvin Wang, Joshua Ong, Chara Wang et al.
2023 · 65 Zit.
Big data, machine learning, and artificial intelligence: a field guide for neurosurgeons
Bharath Raju, Fareed Jumah, Omar Ashraf et al.
2020 · 57 Zit.
Lessons learned from implementing service-oriented clinical decision support at four sites: A qualitative study
Adam Wright, Dean F. Sittig, Joan S. Ash et al.
2015 · 55 Zit.
Investigating genes associated with heart failure, atrial fibrillation, and other cardiovascular diseases, and predicting disease using machine learning techniques for translational research and precision medicine
Vignesh Venkat, Habiba Abdelhalim, William DeGroat et al.
2023 · 49 Zit.
Simultaneous Segmentation and Classification of Bone Surfaces from Ultrasound Using a Multi-feature Guided CNN
Puyang Wang, Vishal M. Patel, Ilker Hacihaliloglu
2018 · 45 Zit.
12 Plagues of AI in Healthcare: A Practical Guide to Current Issues With Using Machine Learning in a Medical Context
Stéphane Doyen, Nicholas B. Dadario
2022 · 36 Zit.
Bridging Philosophical and Practical Implications of Incidental Findings in Brain Research
Judy Illes, Vivian Nora Chin
2008 · 36 Zit.
Generative Artificial Intelligence in Anatomic Pathology
Victor Brodsky, Ehsan Ullah, Andrey Bychkov et al.
2025 · 31 Zit.
Uses and opportunities for machine learning in hypertension research
Dhammika Amaratunga, Javier Cabrera, Davit Sargsyan et al.
2020 · 29 Zit.
Challenges for augmenting intelligence in cardiac imaging
Partho P. Sengupta, Damini Dey, Rhodri Davies et al.
2024 · 28 Zit.
The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research
Julia A. Heneghan, Sarah Walker, Andrea J. Fawcett et al.
2023 · 28 Zit.
An Assessment of Imaging Informatics for Precision Medicine in Cancer
Chakra Chennubhotla, L. Clarke, Andriy Fedorov et al.
2017 · 23 Zit.
Artificial intelligence in neurocritical care
Fawaz Al‐Mufti, Vincent Dodson, James Lee et al.
2019 · 21 Zit.
GPT Technology to Help Address Longstanding Barriers to Care in Free Medical Clinics
Hannah Ong, Joshua Ong, Rebekah Cheng et al.
2023 · 20 Zit.