AIMC Topic: Male

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Robot-assisted ipsilateral partial nephrectomy with distal ureterectomy for synchronous renal and ureteric tumors-a case report.

Journal of the Egyptian National Cancer Institute
BACKGROUND: Ipsilateral synchronous renal and ureteric tumor is uncommon. Nephron sparing surgery is the standard for small renal masses. Ureteric tumors can be selectively managed with nephron sparing surgery, especially in renal dysfunction. This c...

American Society of Anesthesiologists (ASA) physical status system predicts the risk of postoperative Clavien-Dindo complications greater than one at 90 days after robot-assisted radical prostatectomy: final results of a tertiary referral center.

Journal of robotic surgery
To test the hypothesis of an association between the American Society of Anesthesiologists (ASA) physical status classification system and the risk of 90-days postoperative complications after robot-assisted radical prostatectomy (RARP), graded using...

Preliminary outcomes of kinematically aligned robot-assisted total knee arthroplasty with patient-specific cartilage thickness measurement.

Journal of robotic surgery
This study aimed to assess the preliminary outcomes of kinematically aligned robot-assisted total knee arthroplasty (TKA) with patient-specific cartilage thickness measurement. Patients who underwent kinematically aligned robot-assisted TKA were incl...

Robot-assisted radical prostatectomy using a novel urethral reconstruction technique vs standard vesicourethral anastomosis. A retrospective cohort study.

World journal of urology
BACKGROUND: Urinary incontinence is a common postoperative complication of radical prostatectomy (RP). In order to improve postoperative urinary continence rate, we proposed a urethral reconstruction technique which can prevent functional urethra ret...

Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitors.

BMC cancer
BACKGROUND: Vast amounts of rapidly accumulating biological data related to cancer and a remarkable progress in the field of artificial intelligence (AI) have paved the way for precision oncology. Our recent contribution to this area of research is C...

Sperm-cell DNA fragmentation prediction using label-free quantitative phase imaging and deep learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
In intracytoplasmic sperm injection (ICSI), a single sperm cell is selected and injected into an egg. The quality of the chosen sperm and specifically its DNA fragmentation have a significant effect on the fertilization success rate. However, there i...

Machine Learning Techniques Outperform Conventional Statistical Methods in the Prediction of High Risk QTc Prolongation Related to a Drug-Drug Interaction.

Journal of medical systems
In clinical practice, many drug therapies are associated with prolongation of the QT interval. In literature, estimation of the risk of prescribing drug-induced QT prolongation is mainly executed by means of logistic regression; only one paper report...

Systematic review of academic robotic surgery curricula.

Journal of robotic surgery
The use of robotic surgery has increased exponentially in the United States. Despite this uptick in popularity, no standardized training pathway exists for surgical residents or practicing surgeons trying to cross-train onto the platform. We set out ...

Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study.

European journal of nuclear medicine and molecular imaging
PURPOSE: This study aimed to develop deep learning (DL) models based on multicentre biparametric magnetic resonance imaging (bpMRI) for the diagnosis of clinically significant prostate cancer (csPCa) and compare the performance of these models with t...

Relative Validation of an Artificial Intelligence-Enhanced, Image-Assisted Mobile App for Dietary Assessment in Adults: Randomized Crossover Study.

Journal of medical Internet research
BACKGROUND: Thorough dietary assessment is essential to obtain accurate food and nutrient intake data yet challenging because of the limitations of current methods. Image-based methods may decrease energy underreporting and increase the validity of s...