Johns Hopkins Medicine
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Clinical Decision Support Systems for the Practice of Evidence-based Medicine
Ida Sim, Paul Gorman, Robert A. Greenes et al.
2001 · 747 Zit.
Medical robotics—Regulatory, ethical, and legal considerations for increasing levels of autonomy
Guang‐Zhong Yang, James Cambias, Kevin Cleary et al.
2017 · 678 Zit.
Cardiovascular Event Prediction by Machine Learning
Bharath Ambale‐Venkatesh, Xiaoying Yang, Colin O. Wu et al.
2017 · 624 Zit.
Surgical data science for next-generation interventions
Lena Maier‐Hein, S. Swaroop Vedula, Stefanie Speidel et al.
2017 · 517 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 · 471 Zit.
Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare
Polina Mamoshina, Lucy O. Ojomoko, Yury Yanovich et al.
2017 · 470 Zit.
Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Index
Scott Levin, Matthew Toerper, Eric Hamrock et al.
2017 · 401 Zit.
25-Year summary of US malpractice claims for diagnostic errors 1986–2010: an analysis from the National Practitioner Data Bank
Ali S. Saber Tehrani, Hee Won Lee, Simon C. Mathews et al.
2013 · 331 Zit.
Surgical data science – from concepts toward clinical translation
Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarıkaya et al.
2022 · 323 Zit.
Almanac — Retrieval-Augmented Language Models for Clinical Medicine
Cyril Zakka, Rohan Shad, Akash Chaurasia et al.
2024 · 321 Zit.
External Validation of Deep Learning Algorithms for Radiologic Diagnosis: A Systematic Review
Alice Yu, Bahram Mohajer, John Eng
2022 · 316 Zit.
Appropriateness of Breast Cancer Prevention and Screening Recommendations Provided by ChatGPT
Hana L. Haver, Emily B. Ambinder, Manisha Bahl et al.
2023 · 244 Zit.
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review
Haomin Chen, Catalina Gómez, Chien‐Ming Huang et al.
2022 · 240 Zit.
Human–machine teaming is key to AI adoption: clinicians’ experiences with a deployed machine learning system
Katharine E. Henry, Rachel Kornfield, Anirudh Sridharan et al.
2022 · 192 Zit.
Burden of serious harms from diagnostic error in the USA
David E. Newman‐Toker, Najlla Nassery, Adam C. Schaffer et al.
2023 · 188 Zit.