AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Organ Transplantation

Showing 1 to 10 of 22 articles

Clear Filters

Clinical Deployment of Machine Learning Tools in Transplant Medicine: What Does the Future Hold?

Transplantation
Medical applications of machine learning (ML) have shown promise in analyzing patient data to support clinical decision-making and provide patient-specific outcomes. In transplantation, several applications of ML exist which include pretransplant: pa...

Risk assessment of organ transplant operation: A fuzzy hybrid MCDM approach based on fuzzy FMEA.

PloS one
Nowadays, most fatal diseases are attributed to the malfunction of bodily. Sometimes organ transplantation is the only possible therapy, for instance for patients with end-stage liver diseases, and the preferred treatment, for instance for patients w...

The emerging role of generative artificial intelligence in transplant medicine.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
Generative artificial intelligence (AI), a subset of machine learning that creates new content based on training data, has witnessed tremendous advances in recent years. Practical applications have been identified in health care in general, and there...

Predicting Donor Selection and Multi-Organ Transplantation within Organ Procurement Organizations Using Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Organ procurement organizations (OPOs) play a crucial role in the field of organ transplantation, serving as key intermediaries in the process of organ donation. However, despite their vital function, there exists a pressing issue of transparency wit...

Would robots really bother with a bloody uprising?

Science robotics
In the amusing 1982 novel , robots punish their human overlords by raising prices on longevity drugs and organ transplants.

Knowledge domain and frontier trends of artificial intelligence applied in solid organ transplantation: A visualization analysis.

International journal of medical informatics
BACKGROUND: Solid organ transplantation (SOT) is vital for end-stage organ failure but faces challenges like organ shortage and rejection. Artificial intelligence (AI) offers potential to improve outcomes through better matching, success prediction, ...

Using machine learning for personalized prediction of longitudinal coronavirus disease 2019 vaccine responses in transplant recipients.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
The coronavirus disease 2019 pandemic has underscored the importance of vaccines, especially for immunocompromised populations like solid organ transplant recipients, who often have weaker immune responses. The purpose of this study was to compare de...

Estimation of Ganciclovir Exposure in Adults Transplant Patients by Machine Learning.

The AAPS journal
INTRODUCTION: Valganciclovir, a prodrug of ganciclovir (GCV), is used to prevent cytomegalovirus infection after transplantation, with doses adjusted based on creatinine clearance (CrCL) to target GCV AUC0-24 h of 40-60 mg*h/L. This sometimes leads t...

Machine learning enhanced immunologic risk assessments for solid organ transplantation.

Scientific reports
The purpose of this study was to enhance the prediction of solid-organ recipient and donor crossmatch compatibility by applying machine learning (ML). Prediction of crossmatch compatibility is complex and requires an understanding of the recipient an...