Nephrology

Dynamic Survival Analysis for EHR Data with Personalized Parametric Distributions.

The widespread availability of high-dimensional electronic healthcare record (EHR) datasets has led ...

Author's Response to "Re: Magnetic-Assisted Robotic and Laparoscopic Renal Surgery: Initial Clinical Experience with Levita Magnetic Surgical System" by Palese et al.

A Deep Learning-Based Approach for Glomeruli Instance Segmentation from Multistained Renal Biopsy Pathologic Images.

Glomeruli instance segmentation from pathologic images is a fundamental step in the automatic analys...

[Single-center experience of robot-assisted laparoscopic nephron-sparing surgery for giant renal hamartoma].

The clinical data of 22 patients with giant renal hamartoma in Zhejiang Provincial People's Hospital...

Kidney cancer management 3.0: can artificial intelligence make us better?

PURPOSE OF REVIEW: Artificial intelligence holds tremendous potential for disrupting clinical medici...

Robotic-Assisted Tubular Transoral Parapharyngeal Approach to the Ventral Craniovertebral Junction.

BACKGROUND: Transoral robotic surgery (TORS) has become a routine technique for treating benign and ...

[Robot-assisted nephroureterectomy requiring no robot redocking or patient repositioning: experience from a single center with 62 cases].

To examine a new technique of robot-assisted nephroureterectomy without robot reldocking or patient...

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...

Automated Needle Targeting with X-ray (ANT-X) - Robot-assisted device for percutaneous nephrolithotomy (PCNL) with its first successful use in human.

INTRODUCTION: To make percutaneous access easier in PCNL, we developed Automated Needle Targeting wi...

Deep Learning in Kidney Ultrasound: Overview, Frontiers, and Challenges.

Ultrasonography is a practical imaging technique used in numerous health care settings. It is relati...

A Call for an Ethics and Governance Action Plan to Harness the Power of Artificial Intelligence and Digitalization in Nephrology.

Digitalization in nephrology has progressed in a manner that is disparate and siloed, even though le...

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 ...

Voxelated three-dimensional miniature magnetic soft machines via multimaterial heterogeneous assembly.

Small-scale soft-bodied machines that respond to externally applied magnetic field have attracted wi...

Artificial intelligence with kidney disease: A scoping review with bibliometric analysis, PRISMA-ScR.

BACKGROUND: Artificial intelligence (AI) has had a significant impact on our lives and plays many ro...

[A Case of Robot-Assisted Radical Cystoprostatectomy for Locally Advanced Prostate Cancer with Bladder Infiltration].

While robot-assisted radical cystoprostatectomy (RARC) for locally advanced prostate cancer (LAPC) m...

Machine learning in medicine: Medical droids, tricorders, and a computer named Hal 9000.

The usage of artificial intelligence to evaluate histological images was recently explored in many d...

[Clinical outcomes for young patients with muscular invasive bladder cancer who received robot-assisted radical cystectomy].

To evaluate the clinical features, surgical effects and factors that may affect prognosis of muscul...

Verification and comparison of three prediction models of ischemic stroke in young adults based on the back propagation neural networks.

This work aims to explore risk factors for ischemic stroke in young adults and analyze the Tradition...

Artificial intelligence in precision medicine in hepatology.

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

Enhancing Military Burn- and Trauma-Related Acute Kidney Injury Prediction Through an Automated Machine Learning Platform and Point-of-Care Testing.

CONTEXT.—: Delayed recognition of acute kidney injury (AKI) results in poor outcomes in military and...

A Machine Learning Approach to Estimate the Glomerular Filtration Rate in Intensive Care Unit Patients Based on Plasma Iohexol Concentrations and Covariates.

OBJECTIVE: This work aims to evaluate whether a machine learning approach is appropriate to estimate...