AI Medical Compendium Topic

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

Carcinoma, Renal Cell

Showing 161 to 170 of 183 articles

Clear Filters

Robot-assisted partial nephrectomy for large complex renal cancer: step-by-step segmental artery unclamping.

International braz j urol : official journal of the Brazilian Society of Urology
INTRODUCTION: Main renal artery clamping and selective arterial clamping are two conventional devascularization methods for robot-assisted partial nephrectomy (RAPN) (1, 2). Decreasing warm ischemic (WI) time (3, 4) and improving clear surgical visua...

Prediction of pathological staging and grading of renal clear cell carcinoma based on deep learning algorithms.

The Journal of international medical research
OBJECTIVE: Deep learning algorithms were used to develop a model for predicting the staging and grading of renal clear cell carcinoma to inform clinicians' treatment plans.

Intratumoral Resolution of Driver Gene Mutation Heterogeneity in Renal Cancer Using Deep Learning.

Cancer research
UNLABELLED: Intratumoral heterogeneity arising from tumor evolution poses significant challenges biologically and clinically. Dissecting this complexity may benefit from deep learning (DL) algorithms, which can infer molecular features from ubiquitou...

[Two Cases of Unilateral Multifocal Renal Cell Carcinoma Treated with Robot-Assisted Partial Nephrectomy].

Hinyokika kiyo. Acta urologica Japonica
Recently, robot-assisted laparoscopic partial nephrectomy (RAPN) has become a commonly performed surgical treatment for small renal tumors, but for difficult cases, such as those presenting with multiple tumors, there are few institutions with experi...

Preservation of Split Renal Function After Laparoscopic and Robot-assisted Partial Nephrectomy.

Anticancer research
BACKGROUND/AIM: To analyze the effects of laparoscopic partial nephrectomy (LPN) and robot-assisted partial nephrectomy (RAPN) for the treatment of renal cell carcinoma (RCC) on subsequent split renal function using renal scintigraphy.

Deep Learning Algorithm for Fully Automated Detection of Small (≤4 cm) Renal Cell Carcinoma in Contrast-Enhanced Computed Tomography Using a Multicenter Database.

Investigative radiology
OBJECTIVES: Renal cell carcinoma (RCC) is often found incidentally in asymptomatic individuals undergoing abdominal computed tomography (CT) examinations. The purpose of our study is to develop a deep learning-based algorithm for fully automated dete...

Comparison of Perioperative Outcomes for Radical Nephrectomy Based on Surgical Approach for Masses Greater Than 10 cm.

Journal of endourology
Robot-assisted radical nephrectomy (RRN) is increasingly utilized as an alternative to laparoscopic radical nephrectomy (LRN), but there are concerns over costs and objective benefit. In the setting of very large renal masses (>10 cm), comparison be...

[Robot-Assisted Partial Nephrectomy for Renal Cell Carcinoma Complicated by Leriche Syndrome : A Case Report].

Hinyokika kiyo. Acta urologica Japonica
A 71-year-old man was referred to our hospital for treatment of a 2 cm-sized right renal mass incidentally found by computed tomography (CT) and was diagnosed with right renal cell carcinoma cT1aN0M0. Contrast-enhanced CT revealed that the aorta was ...

Synthetic data in machine learning for medicine and healthcare.

Nature biomedical engineering
The proliferation of synthetic data in artificial intelligence for medicine and healthcare raises concerns about the vulnerabilities of the software and the challenges of current policy.

Therapeutic and Clinical Outcomes of Robot-assisted Partial Nephrectomy Cryoablation for T1 Renal Cell Carcinoma.

In vivo (Athens, Greece)
BACKGROUND: In cT1 renal cell carcinoma (RCC), very few studies have compared oncological outcomes and renal function preservation rates in nephron-sparing robot-assisted partial nephrectomy (RAPN) and percutaneous cryoablation (PCA).