Cargando…

Machine Learning Applications in Solid Organ Transplantation and Related Complications

The complexity of transplant medicine pushes the boundaries of innate, human reasoning. From networks of immune modulators to dynamic pharmacokinetics to variable postoperative graft survival to equitable allocation of scarce organs, machine learning promises to inform clinical decision making by de...

Descripción completa

Detalles Bibliográficos
Autores principales:	Balch, Jeremy A., Delitto, Daniel, Tighe, Patrick J., Zarrinpar, Ali, Efron, Philip A., Rashidi, Parisa, Upchurch, Gilbert R., Bihorac, Azra, Loftus, Tyler J.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Immunology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8481939/ https://www.ncbi.nlm.nih.gov/pubmed/34603324 http://dx.doi.org/10.3389/fimmu.2021.739728

Ejemplares similares

Building an automated, machine learning-enabled platform for predicting post-operative complications
por: Balch, Jeremy A, et al.
Publicado: (2023)

Mysteries, Epistemological Modesty, and Artificial Intelligence in Surgery
por: Loftus, Tyler J., et al.
Publicado: (2020)

Gamification for Machine Learning in Surgical Patient Engagement
por: Balch, Jeremy A., et al.
Publicado: (2022)

Association of Postoperative Undertriage to Hospital Wards With Mortality and Morbidity
por: Loftus, Tyler J., et al.
Publicado: (2021)

Uncertainty-aware deep learning in healthcare: A scoping review
por: Loftus, Tyler J., et al.
Publicado: (2022)

Predictive Modeling for Readmission to Intensive Care: A Systematic Review
por: Ruppert, Matthew M., et al.
Publicado: (2023)

Machine Learning–Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping Review
por: Balch, Jeremy A, et al.
Publicado: (2023)

Federated learning for preserving data privacy in collaborative healthcare research
por: Loftus, Tyler J, et al.
Publicado: (2022)

Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks
por: Shickel, Benjamin, et al.
Publicado: (2023)

Personalized decision-making for acute cholecystitis: Understanding surgeon judgment
por: Filiberto, Amanda C., et al.
Publicado: (2022)

Phenotype clustering in health care: A narrative review for clinicians
por: Loftus, Tyler J., et al.
Publicado: (2022)

Methods for Phenotyping Adult Patients in Sepsis and Septic Shock: A Scoping Review
por: Li, Han, et al.
Publicado: (2022)

Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform
por: Ren, Yuanfang, et al.
Publicado: (2022)

Physiologic signatures within six hours of hospitalization identify acute illness phenotypes
por: Ren, Yuanfang, et al.
Publicado: (2022)

Survival and neurologic outcomes following aortic occlusion for trauma and hemorrhagic shock in a hybrid operating room
por: Balch, Jeremy A., et al.
Publicado: (2023)

Survival and neurologic outcomes following aortic occlusion for trauma and hemorrhagic shock in a hybrid operating room
por: Balch, Jeremy A., et al.
Publicado: (2023)

Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible
por: Loftus, Tyler J., et al.
Publicado: (2022)

DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning
por: Shickel, Benjamin, et al.
Publicado: (2019)

Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit
por: Davoudi, Anis, et al.
Publicado: (2022)

Application of Machine Learning Techniques to High-Dimensional Clinical Data to Forecast Postoperative Complications
por: Thottakkara, Paul, et al.
Publicado: (2016)

Early Biomarker Signatures in Surgical Sepsis
por: Madushani, R.W.M.A., et al.
Publicado: (2022)

ICU Delirium-Prediction Models: A Systematic Review
por: Ruppert, Matthew M., et al.
Publicado: (2020)

Intelligent ICU for Autonomous Patient Monitoring Using Pervasive Sensing and Deep Learning
por: Davoudi, Anis, et al.
Publicado: (2019)

Role of Wearable Accelerometer Devices in Delirium Studies: A Systematic Review
por: Davoudi, Anis, et al.
Publicado: (2019)

Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks
por: Shickel, Benjamin, et al.
Publicado: (2022)

EARLY DIFFERENTIATION BETWEEN SEPSIS AND STERILE INFLAMMATION VIA URINARY GENE SIGNATURES OF METABOLIC DYSREGULATION
por: Bandyopadhyay, Sabyasachi, et al.
Publicado: (2022)

Surgical resident experience with common bile duct exploration and assessment of performance and autonomy with formative feedback
por: Nyren, Molly Q., et al.
Publicado: (2023)

Cardiovascular and Renal Disease in Chronic Critical Illness
por: Loftus, Tyler J., et al.
Publicado: (2021)

Cardiovascular death and progression to end‐stage renal disease after major surgery in elderly patients
por: Lysak, N., et al.
Publicado: (2019)

Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU
por: Shickel, Benjamin, et al.
Publicado: (2021)

Pathologic stage dictates survival after neoadjuvant radiation for rectal cancer
por: Delitto, Daniel, et al.
Publicado: (2018)

Age-dependent response to multimodal therapy for stage II-III rectal cancer
por: Delitto, Daniel, et al.
Publicado: (2019)

Bilateral renal artery stenosis impacts postoperative complications after major vascular surgery()
por: Filiberto, Amanda C., et al.
Publicado: (2023)

Defining critical illness using immunological endotypes in patients with and without of sepsis: A cohort study
por: Balch, Jeremy A., et al.
Publicado: (2023)

Defining critical illness using immunological endotypes in patients with and without sepsis: a cohort study
por: Balch, Jeremy A., et al.
Publicado: (2023)

Clinical courses of acute kidney injury in hospitalized patients: a multistate analysis
por: Adiyeke, Esra, et al.
Publicado: (2023)

Improving the Intensive Care Patient Experience With Virtual Reality—A Feasibility Study
por: Ong, Triton L., et al.
Publicado: (2020)

The effect of non-pharmacologic strategies on prevention or management of intensive care unit delirium: a systematic review
por: Cupka, Julie S, et al.
Publicado: (2022)

Fairness in the prediction of acute postoperative pain using machine learning models
por: Davoudi, Anis, et al.
Publicado: (2023)

Sepsis and Critical Illness Research Center investigators: protocols and standard operating procedures for a prospective cohort study of sepsis in critically ill surgical patients
por: Loftus, Tyler J, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_frv8ukjmh34a06osdgv3d9249j