Children's Hospital of Philadelphia
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Identifying Ethical Considerations for Machine Learning Healthcare Applications
Danton Char, Michael D. Abràmoff, Chris Feudtner
2020 · 373 Zit.
Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability
Shahein Tajmir, Hyunkwang Lee, Randheer Shailam et al.
2018 · 123 Zit.
Perceptual and Interpretive Error in Diagnostic Radiology—Causes and Potential Solutions
Andrew J. Degnan, Emily H. Ghobadi, Peter Hardy et al.
2018 · 112 Zit.
Big data and visual analytics in anaesthesia and health care
Allan F. Simpao, Luis Ahumada, Mubashar Rehman
2015 · 104 Zit.
Artificial Intelligence Algorithm Improves Radiologist Performance in Skeletal Age Assessment: A Prospective Multicenter Randomized Controlled Trial
David Eng, Nishith Khandwala, Jin Long et al.
2021 · 79 Zit.
Use of Artificial Intelligence in Radiology: Impact on Pediatric Patients, a White Paper From the ACR Pediatric AI Workgroup
Marla B. K. Sammer, Yasmin S. Akbari, Richard A. Barth et al.
2023 · 59 Zit.
Machine learning concepts, concerns and opportunities for a pediatric radiologist
Michael M. Moore, Einat Slonimsky, Aaron Long et al.
2019 · 58 Zit.
Harnessing the Power of Generative AI for Clinical Summaries: Perspectives From Emergency Physicians
Yuval Barak‐Corren, Rebecca Wolf, Ronen Rozenblum et al.
2024 · 56 Zit.
Performance of ChatGPT on the MCAT: The Road to Personalized and Equitable Premedical Learning
Vikas Bommineni, Sanaea Bhagwagar, Daniel Balcarcel et al.
2023 · 52 Zit.
BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks
Kai Zhang, Jun Yu, Eashan Adhikarla et al.
2023 · 50 Zit.
Machine Learning in Laboratory Medicine: Recommendations of the IFCC Working Group
Stephen R. Master, Tony Badrick, Andreas Bietenbeck et al.
2023 · 49 Zit.
Detecting pediatric wrist fractures using deep-learning-based object detection
John R. Zech, Giuseppe Carotenuto, Zenas Igbinoba et al.
2023 · 49 Zit.
Machine Learning Applied to Registry Data: Development of a Patient-Specific Prediction Model for Blood Transfusion Requirements During Craniofacial Surgery Using the Pediatric Craniofacial Perioperative Registry Dataset
Ali Jalali, Hannah Lonsdale, Lillian Zamora et al.
2020 · 44 Zit.
Identification of Long Bone Fractures in Radiology Reports Using Natural Language Processing to support Healthcare Quality Improvement
Aaron J. Masino, T. Charles Casper, Jonathan Dean et al.
2016 · 41 Zit.
What Is Medical Extended Reality? A Taxonomy Defining the Current Breadth and Depth of an Evolving Field
Brennan Spiegel, Albert Rizzo, Susan Persky et al.
2024 · 36 Zit.