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Ashley Spann

Showing results (11-20 of 26) with videos related to

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Hepatology (Baltimore, Md.)|January 8, 2020
Applying Machine Learning in Liver Disease and Transplantation: A Comprehensive ReviewAshley Spann, Angeline Yasodhara, Justin Kang, et al.
Hepatology Communications|February 9, 2023
Clinical decision support automates care gap detection among primary care patients with nonalcoholic fatty liver diseaseAshley Spann, Kristy M Bishop, Asli O Weitkamp, et al.
Clinical Transplantation|September 6, 2022
Predictors of renal recovery in recipients of liver transplant alone who met 2017 simultaneous liver-kidney transplant criteriaJiawei Cui, Ashley Spann, Alexandra Shingina, et al.
Surgery|June 17, 2025
The use of patient-reported outcome measures in recurrent diverticulitisMegan Shroder, Thomas Ueland, Liping Du, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
Natural Language Processing and Machine Learning to Enable Clinical Decision Support for Treatment of Pediatric PneumoniaJoshua C Smith, Ashley Spann, Allison B McCoy, et al.
Hepatology Communications|September 4, 2025
Electronic decision aids enhance management of primary care patients with steatotic liver disease: Proof of concept pilot studyAshley Spann, Kristy Bishop, Sarah Marbach, et al.
Liver Transplantation : Official Publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society|March 25, 2022
Cirrhotic cardiomyopathy: Appraisal of the original and revised criteria in predicting posttransplant cardiac outcomesAshley Spann, Christopher Coe, Teminioluwa Ajayi, et al.
Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures : 10Th International Workshop, ML-CDS 2020, and 9Th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8,|June 11, 2021
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical RecordsYucheng Tang, Riqiang Gao, Ho Hin Lee, et al.
The American Journal of Hospice & Palliative Care|February 14, 2025
Evaluating Performance of the Surprise Question to Predict 12-Month Mortality in Patients With End-Stage Liver DiseaseSarah Homann, Jamie Pfaff, Elizabeth Stovicek, et al.
Liver Transplantation : Official Publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society|June 23, 2026
Multimodal deep learning using pre-transplant CT images predicts cardiovascular events after liver transplantationZoe Finer, Haoyang Yi, Cindy Chen, et al.
Pageof 3

Showing results (11-20 of 26) with videos related to

Sort By:
Pageof 3
Hepatology (Baltimore, Md.)|January 8, 2020
Applying Machine Learning in Liver Disease and Transplantation: A Comprehensive ReviewAshley Spann, Angeline Yasodhara, Justin Kang, et al.
Hepatology Communications|February 9, 2023
Clinical decision support automates care gap detection among primary care patients with nonalcoholic fatty liver diseaseAshley Spann, Kristy M Bishop, Asli O Weitkamp, et al.
Clinical Transplantation|September 6, 2022
Predictors of renal recovery in recipients of liver transplant alone who met 2017 simultaneous liver-kidney transplant criteriaJiawei Cui, Ashley Spann, Alexandra Shingina, et al.
Surgery|June 17, 2025
The use of patient-reported outcome measures in recurrent diverticulitisMegan Shroder, Thomas Ueland, Liping Du, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
Natural Language Processing and Machine Learning to Enable Clinical Decision Support for Treatment of Pediatric PneumoniaJoshua C Smith, Ashley Spann, Allison B McCoy, et al.
Hepatology Communications|September 4, 2025
Electronic decision aids enhance management of primary care patients with steatotic liver disease: Proof of concept pilot studyAshley Spann, Kristy Bishop, Sarah Marbach, et al.
Liver Transplantation : Official Publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society|March 25, 2022
Cirrhotic cardiomyopathy: Appraisal of the original and revised criteria in predicting posttransplant cardiac outcomesAshley Spann, Christopher Coe, Teminioluwa Ajayi, et al.
Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures : 10Th International Workshop, ML-CDS 2020, and 9Th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8,|June 11, 2021
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical RecordsYucheng Tang, Riqiang Gao, Ho Hin Lee, et al.
The American Journal of Hospice & Palliative Care|February 14, 2025
Evaluating Performance of the Surprise Question to Predict 12-Month Mortality in Patients With End-Stage Liver DiseaseSarah Homann, Jamie Pfaff, Elizabeth Stovicek, et al.
Liver Transplantation : Official Publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society|June 23, 2026
Multimodal deep learning using pre-transplant CT images predicts cardiovascular events after liver transplantationZoe Finer, Haoyang Yi, Cindy Chen, et al.
Pageof 3