Science Oxford
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Transparency and reproducibility in artificial intelligence
Benjamin Haibe‐Kains, George Alexandru Adam, Ahmed Hosny et al.
2020 · 487 Zit.
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 461 Zit.
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening
Jenny Yang, Andrew A. S. Soltan, David A. Clifton
2022 · 150 Zit.
Artificial Intelligence and Machine Learning in Lower Extremity Arthroplasty: A Review
Heather S. Haeberle, J. Matthew Helm, Sergio M. Navarro et al.
2019 · 148 Zit.
External validation of AI models in health should be replaced with recurring local validation
Alexey Youssef, Michael Pencina, Anshul Thakur et al.
2023 · 145 Zit.
A medical multimodal large language model for future pandemics
Fenglin Liu, Tingting Zhu, Xian Wu et al.
2023 · 138 Zit.
An adversarial training framework for mitigating algorithmic biases in clinical machine learning
Jenny Yang, Andrew A. S. Soltan, David W. Eyre et al.
2023 · 135 Zit.
Deep Learning Preoperatively Predicts Value Metrics for Primary Total Knee Arthroplasty: Development and Validation of an Artificial Neural Network Model
Prem N. Ramkumar, Jaret M. Karnuta, Sergio M. Navarro et al.
2019 · 119 Zit.
Machine learning in medicine: should the pursuit of enhanced interpretability be abandoned?
Chang Ho Yoon, Robert Torrance, Naomi Scheinerman
2021 · 119 Zit.
Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications
Jin Li, Benjamin J. Cairns, Jingsong Li et al.
2023 · 98 Zit.
Generalizability assessment of AI models across hospitals in a low-middle and high income country
Jenny Yang, Nguyen Thanh Dung, Phạm Ngọc Thạch et al.
2024 · 73 Zit.
Personalised treatment for cognitive impairment in dementia: development and validation of an artificial intelligence model
Qiang Liu, Nemanja Vaci, Ivan Koychev et al.
2022 · 45 Zit.
The Impact of Explanations on Layperson Trust in Artificial Intelligence–Driven Symptom Checker Apps: Experimental Study
Claire Woodcock, Brent Mittelstadt, Dan Busbridge et al.
2021 · 43 Zit.
The future of multimodal artificial intelligence models for integrating imaging and clinical metadata: a narrative review
Benjamin Simon, Kutsev Bengisu Ozyoruk, David G. Gelikman et al.
2024 · 34 Zit.
The Impact of Artificial Intelligence on Higher Education in England
Hengameh Karimi, Sarwar Khawaja
2023 · 33 Zit.