Prediction of High-Risk Donors for Kidney Discard and Nonrecovery Using Structured Donor Characteristics and Unstructured Donor Narratives

Operationalizing and Implementing Pretrained, Large Artificial Intelligence Linguistic Models in the US Health Care System: Outlook of Generative Pretrained Transformer 3 (GPT-3) as a Service Model

(2022) Emre Sezgin et al.   JMIR Medical Informatics

OPTN/SRTR 2020 Annual Data Report: Kidney

(2022) K. L. Lentine et al.   AMERICAN JOURNAL OF TRANSPLANTATION

Use of unstructured text in prognostic clinical prediction models: a systematic review

(2022) Tom M Seinen et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Machine learning for the prediction of acute kidney injury in patients with sepsis

(2022) Suru Yue et al.   Journal of Translational Medicine

Implications of Accumulated Cold Time for US Kidney Transplantation Offer Acceptance

(2022) Masoud Barah et al.   Clinical Journal of the American Society of Nephrology

Machine learning‐supported interpretation of kidney graft elementary lesions in combination with clinical data

(2022) Marc Labriffe et al.   AMERICAN JOURNAL OF TRANSPLANTATION

BioGPT: generative pre-trained transformer for biomedical text generation and mining

(2022) Renqian Luo et al.   BRIEFINGS IN BIOINFORMATICS

Multimodal machine learning in precision health: A scoping review

(2022) Adrienne Kline et al.   npj Digital Medicine

Automated En Masse Machine Learning Model Generation Shows Comparable Performance as Classic Regression Models for Predicting Delayed Graft Function in Renal Allografts

(2021) Kuang-Yu Jen et al.   TRANSPLANTATION

Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction

(2021) Rohan Khera et al.   JAMA Cardiology

Population Preferences for Performance and Explainability of Artificial Intelligence in Health Care: Choice-Based Conjoint Survey

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Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

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Adapting Bidirectional Encoder Representations from Transformers (BERT) to Assess Clinical Semantic Textual Similarity: Algorithm Development and Validation Study

(2020) Klaus Kades et al.   JMIR Medical Informatics

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

(2019) Jinhyuk Lee et al.   BIOINFORMATICS

Can donor narratives yield insights? A natural language processing proof of concept to facilitate kidney allocation

(2019) Andrew M. Placona et al.   AMERICAN JOURNAL OF TRANSPLANTATION

Hard-to-place kidney offers: Donor- and system-level predictors of discard

(2018) J. Reinier F. Narvaez et al.   AMERICAN JOURNAL OF TRANSPLANTATION

Prospective Validation of Prediction Model for Kidney Discard

(2018) Sheng Zhou et al.   TRANSPLANTATION

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

(2018) Scott M. Lundberg et al.   Nature Biomedical Engineering

Predictors of Deceased Donor Kidney Discard in the United States

(2017) Wesley J. Marrero et al.   TRANSPLANTATION

Improving Distribution Efficiency of Hard-to-Place Deceased Donor Kidneys: Predicting Probability of Discard or Delay

(2010) A. B. Massie et al.   AMERICAN JOURNAL OF TRANSPLANTATION

Determinants of Discard of Expanded Criteria Donor Kidneys: Impact of Biopsy and Machine Perfusion

(2008) R. S. Sung et al.   AMERICAN JOURNAL OF TRANSPLANTATION