Validation of the MySurgeryRisk Algorithm for Predicting Complications and Death after Major Surgery: A Retrospective Multicenter Study Using OneFlorida Data Trust
Fuente:
arXiv
Saved in:
| Main Authors: | Ren, Yuanfang, Adiyeke, Esra, Guan, Ziyuan, Hu, Zhenhong, Meni, Mackenzie J, Shickel, Benjamin, Rashidi, Parisa, Ozrazgat-Baslanti, Tezcan, Bihorac, Azra |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Federated Learning with Multi-Partner OneFlorida+ Consortium Data for Predicting Major Postoperative Complications
by: Ren, Yuanfang, et al.
Published: (2026)
by: Ren, Yuanfang, et al.
Published: (2026)
Epidemiology, Trajectories and Outcomes of Acute Kidney Injury Among Hospitalized Patients: A Retrospective Multicenter Large Cohort Study
by: Adiyeke, Esra, et al.
Published: (2024)
by: Adiyeke, Esra, et al.
Published: (2024)
Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications
by: Ren, Yuanfang, et al.
Published: (2024)
by: Ren, Yuanfang, et al.
Published: (2024)
Federated learning model for predicting major postoperative complications
by: Park, Yonggi, et al.
Published: (2024)
by: Park, Yonggi, et al.
Published: (2024)
A multi-cohort study on prediction of acute brain dysfunction states using selective state space models
by: Silva, Brandon, et al.
Published: (2024)
by: Silva, Brandon, et al.
Published: (2024)
Unlocking Health Insights with SDoH Data: A Comprehensive Open-Access Database and SDoH-EHR Linkage Tool
by: Hu, Zhenhong, et al.
Published: (2025)
by: Hu, Zhenhong, et al.
Published: (2025)
Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records
by: Ma, Yingbo, et al.
Published: (2024)
by: Ma, Yingbo, et al.
Published: (2024)
APRICOT-Mamba: Acuity Prediction in Intensive Care Unit (ICU): Development and Validation of a Stability, Transitions, and Life-Sustaining Therapies Prediction Model
by: Contreras, Miguel, et al.
Published: (2023)
by: Contreras, Miguel, et al.
Published: (2023)
DeLLiriuM: A large language model for delirium prediction in the ICU using structured EHR
by: Contreras, Miguel, et al.
Published: (2024)
by: Contreras, Miguel, et al.
Published: (2024)
Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning
by: Adiyeke, Esra, et al.
Published: (2025)
by: Adiyeke, Esra, et al.
Published: (2025)
Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status
by: Nerella, Subhash, et al.
Published: (2023)
by: Nerella, Subhash, et al.
Published: (2023)
Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision
by: Ma, Yingbo, et al.
Published: (2024)
by: Ma, Yingbo, et al.
Published: (2024)
Acute kidney injury prediction for non-critical care patients: a retrospective external and internal validation study
by: Adiyeke, Esra, et al.
Published: (2024)
by: Adiyeke, Esra, et al.
Published: (2024)
Quantifying Circadian Desynchrony in ICU Patients and Its Association with Delirium
by: Ren, Yuanfang, et al.
Published: (2025)
by: Ren, Yuanfang, et al.
Published: (2025)
MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term Mobility Estimation in Critical Care
by: Zhang, Jiaqing, et al.
Published: (2025)
by: Zhang, Jiaqing, et al.
Published: (2025)
Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools
by: Ma, Yingbo, et al.
Published: (2024)
by: Ma, Yingbo, et al.
Published: (2024)
MANDARIN: Mixture-of-Experts Framework for Dynamic Delirium and Coma Prediction in ICU Patients: Development and Validation of an Acute Brain Dysfunction Prediction Model
by: Contreras, Miguel, et al.
Published: (2025)
by: Contreras, Miguel, et al.
Published: (2025)
MANGO: Multimodal Acuity traNsformer for intelliGent ICU Outcomes
by: Zhang, Jiaqing, et al.
Published: (2024)
by: Zhang, Jiaqing, et al.
Published: (2024)
Leveraging Computer Vision in the Intensive Care Unit (ICU) for Examining Visitation and Mobility
by: Siegel, Scott, et al.
Published: (2024)
by: Siegel, Scott, et al.
Published: (2024)
AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing
by: Nerella, Subhash, et al.
Published: (2023)
by: Nerella, Subhash, et al.
Published: (2023)
Human-Centered Development of an Explainable AI Framework for Real-Time Surgical Risk Surveillance
by: Davidson, Andrea E, et al.
Published: (2025)
by: Davidson, Andrea E, et al.
Published: (2025)
Transformers in Healthcare: A Survey
by: Nerella, Subhash, et al.
Published: (2023)
by: Nerella, Subhash, et al.
Published: (2023)
An Iterative, User-Centered Design of a Clinical Decision Support System for Critical Care Assessments: Co-Design Sessions with ICU Clinical Providers
by: Davidson, Andrea E., et al.
Published: (2025)
by: Davidson, Andrea E., et al.
Published: (2025)
Risk of Life‐Threatening Complications After Colorectal Cancer Surgery: A Japanese Multicenter Study
by: Rika Ono, et al.
Published: (2025)
by: Rika Ono, et al.
Published: (2025)
Perioperative and Oncological Outcomes of Colorectal Cancer Surgery in Obese Patients: A Multicenter Retrospective Study
by: Kazuhiro Taguchi, et al.
Published: (2025)
by: Kazuhiro Taguchi, et al.
Published: (2025)
Popliteal Artery Injury After Arthroscopic Knee Surgery: A Retrospective Multicenter Cohort Study
by: Zhenmu Xu, et al.
Published: (2024)
by: Zhenmu Xu, et al.
Published: (2024)
Association Between Intraoperative Hyperlactatemia and Infection After Cardiac Surgery With Cardiopulmonary Bypass: A Multicenter Retrospective Study
by: Yewei Shi, et al.
Published: (2026)
by: Yewei Shi, et al.
Published: (2026)
Developing an automated algorithm for identification of children and adolescents with diabetes using electronic health records from the OneFlorida + clinical research network
by: Piaopiao Li, et al.
Published: (2024)
by: Piaopiao Li, et al.
Published: (2024)
Peri-AIIMS: Perioperative Artificial Intelligence Driven Integrated Modeling of Surgeries using Anesthetic, Physical and Cognitive Statuses for Predicting Hospital Outcomes
by: Bandyopadhyay, Sabyasachi, et al.
Published: (2024)
by: Bandyopadhyay, Sabyasachi, et al.
Published: (2024)
Complications of Mohs Surgery and the Influence of Economic Status on Outcomes
by: Christopher A. Guirguis, et al.
Published: (2025)
by: Christopher A. Guirguis, et al.
Published: (2025)
Short‐Term Complications Are Rare After Cholesteatoma Surgery
by: Agnes Modée Borgström, et al.
Published: (2026)
by: Agnes Modée Borgström, et al.
Published: (2026)
The Impact of Socioeconomic Factors and Racial Disparities on Complications in Breast Conservation Surgery: A Single‐Institution Retrospective Cohort Study
by: Liane N. Obaid, et al.
Published: (2026)
by: Liane N. Obaid, et al.
Published: (2026)
Impact of Hemoglobin Glycation Index on Complications Following Orthopedic Surgery: A Retrospective Comparative Propensity Score‐Matched Study
by: Yuhua Xiao, et al.
Published: (2025)
by: Yuhua Xiao, et al.
Published: (2025)
Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance
by: Meni, Mackenzie J., et al.
Published: (2023)
by: Meni, Mackenzie J., et al.
Published: (2023)
RETRACTION : Impact of Robotic and Open Surgery on Patient Wound Complications in Gastric Cancer Surgery: A Meta‐Analysis
Published: (2025)
Published: (2025)
Risk Factors for Neurological Complications in Severe Spinal Deformity Surgery
by: Xinwei Wang, et al.
Published: (2025)
by: Xinwei Wang, et al.
Published: (2025)
Investigating the Impact of Age and Sex on Cataract Surgery Complications and Outcomes
by: Cnaany, Hadas Ben-Eli Yaacov, et al.
Published: (2024)
by: Cnaany, Hadas Ben-Eli Yaacov, et al.
Published: (2024)
CataractCompDetect: Intraoperative Complication Detection in Cataract Surgery
by: Sachdeva, Bhuvan, et al.
Published: (2025)
by: Sachdeva, Bhuvan, et al.
Published: (2025)
The Surgical and Aesthetic Complications of Mohs Micrographic Surgery in an Australian Cohort
by: Joshua Farrell, et al.
Published: (2025)
by: Joshua Farrell, et al.
Published: (2025)
Does Completion Thyroid Surgery Pose a Higher Risk of Complications?
by: Alaa Sada, et al.
Published: (2025)
by: Alaa Sada, et al.
Published: (2025)
Similar Items
-
Federated Learning with Multi-Partner OneFlorida+ Consortium Data for Predicting Major Postoperative Complications
by: Ren, Yuanfang, et al.
Published: (2026) -
Epidemiology, Trajectories and Outcomes of Acute Kidney Injury Among Hospitalized Patients: A Retrospective Multicenter Large Cohort Study
by: Adiyeke, Esra, et al.
Published: (2024) -
Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications
by: Ren, Yuanfang, et al.
Published: (2024) -
Federated learning model for predicting major postoperative complications
by: Park, Yonggi, et al.
Published: (2024) -
A multi-cohort study on prediction of acute brain dysfunction states using selective state space models
by: Silva, Brandon, et al.
Published: (2024)