Transplantation

[Interactions between radical prostatovesiculectomy and diagnosis of prostate cancer : A medical-historical inventory on the occasion of 20 years of robot-assisted treatment].

The question of what came first-in this case the diagnosis of prostate cancer or its therapy-seems a...

The current state of artificial intelligence in cardiac transplantation.

PURPOSE OF REVIEW: The field of heart transplantation is a complex practice that combines both scien...

Deep Learning-Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging Studies.

PURPOSE: The aims of this study were to train and evaluate deep learning models for automated segmen...

High-throughput image segmentation and machine learning approaches in the plant sciences across multiple scales.

Agriculture has benefited greatly from the rise of big data and high-performance computing. The acqu...

Segmentation of the Prostate Transition Zone and Peripheral Zone on MR Images with Deep Learning.

Purpose To develop a deep learning model to delineate the transition zone (TZ) and peripheral zone (...

Interactive Web Application for Plotting Personalized Prognosis Prediction Curves in Allogeneic Hematopoietic Cell Transplantation Using Machine Learning.

BACKGROUND: Allogeneic hematopoietic cell transplantation (allo-HCT) is a curative treatment option ...

Artificial Intelligence-related Literature in Transplantation: A Practical Guide.

The Future Role of Machine Learning in Clinical Transplantation.

The use of artificial intelligence and machine learning (ML) has revolutionized our daily lives and ...

Eye contact during joint attention with a humanoid robot modulates oscillatory brain activity.

Eye contact established by a human partner has been shown to affect various cognitive processes of t...

Endoscopy-assisted magnetic navigation of biohybrid soft microrobots with rapid endoluminal delivery and imaging.

High-precision delivery of microrobots at the whole-body scale is of considerable importance for eff...

Radiomics and deep learning in liver diseases.

Recently, radiomics and deep learning have gained attention as methods for computerized image analys...

Artificial intelligence in precision medicine in hepatology.

The advancement of investigation tools and electronic health records (EHR) enables a paradigm shift ...

Cytomegalovirus and Severe Acute Respiratory Syndrome Coronavirus 2 Co-infection in Renal Transplants: A Retrospective Study from a Single Center.

There is a scarcity of data regarding the impact of cytomegalovirus (CMV) infection complicating the...

Insights into Futuristic Renal Medicine.

The revolutionary innovations in biology and information technology influenced many medical and heal...

Robotic Single-Port Donor Nephrectomy with the da Vinci SP® Surgical System.

OBJECTIVES: The da Vinci SP® Surgical System received U.S. Food and Drug Administration approval for...

Oncological and Functional Outcomes of Robot-Assisted Radical Prostatectomy in Kidney Transplant Recipients.

OBJECTIVE: Management of prostate cancer in kidney transplant recipients presents a unique surgical ...

Toward Improved and Standardized Diagnostic Pipelines in Transplantation.

A Review on Multi-organ Cancer Detection Using Advanced Machine Learning Techniques.

Abnormal behaviors of tumors pose a risk to human survival. Thus, the detection of cancers at their ...

Evolution of robotic-assisted kidney transplant: successes and barriers to overcome.

PURPOSE OF REVIEW: The aim of this study was to provide an updated review of robotic-assisted kidney...

A Review on the Role of Artificial Intelligence in Stem Cell Therapy: An Initiative for Modern Medicines.

Stem Cells (SCs) show a wide range of applications in the treatment of numerous diseases, including ...

CT Dosimetry: What Has Been Achieved and What Remains to Be Done.

Radiation dose in computed tomography (CT) has become a hot topic due to an upward trend in the numb...