AIMC Topic: Male

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Validation of standardized training system for robot-assisted radical prostatectomy: comparison of perioperative and surgical outcomes between experienced surgeons and novice surgeons at a low-volume institute in Japan.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy
INTRODUCTION: Although robot-assisted radical prostatectomy (RARP) has become a standard treatment modality in patients with prostate cancer (PCa), RARP is a complicated and difficult surgical procedure due to the risk of serious surgery-related comp...

3D printed patient-specific prostate cancer models to guide nerve-sparing robot-assisted radical prostatectomy: a systematic review.

Journal of robotic surgery
Precise knowledge of each patient's index cancer and surrounding anatomy is required for nerve-sparing robot-assisted radical prostatectomy (NS-RARP). Complementary to this, 3D printing has proven its utility in improving the visualisation of complex...

Deep learning reconstruction for 1.5 T cervical spine MRI: effect on interobserver agreement in the evaluation of degenerative changes.

European radiology
OBJECTIVES: To investigate whether deep learning reconstruction (DLR) provides improved cervical spine MR images using a 1.5 T unit in the evaluation of degenerative changes without increasing imaging time.

Effect of dataset size, image quality, and image type on deep learning-based automatic prostate segmentation in 3D ultrasound.

Physics in medicine and biology
Three-dimensional (3D) transrectal ultrasound (TRUS) is utilized in prostate cancer diagnosis and treatment, necessitating time-consuming manual prostate segmentation. We have previously developed an automatic 3D prostate segmentation algorithm invol...

The effect of preoperative membranous urethral length on likelihood of postoperative urinary incontinence after robot-assisted radical prostatectomy.

Prostate cancer and prostatic diseases
BACKGROUND: Urinary incontinence after radical prostatectomy affects many men. In addition to surgical and patient factors, longer preoperative membranous urethral length (MUL) has been suggested to be associated with improved postoperative urinary c...

Human-Computer Interaction for Recognizing Speech Emotions Using Multilayer Perceptron Classifier.

Journal of healthcare engineering
Human-computer interaction (HCI) has seen a paradigm shift from textual or display-based control toward more intuitive control modalities such as voice, gesture, and mimicry. Particularly, speech has a great deal of information, conveying information...

Epidemiological predictive modeling: lessons learned from the Kuopio ischemic heart disease risk factor study.

Annals of epidemiology
PURPOSE: The use of predictive models in epidemiology is relatively narrow as most of the studies report results of traditional statistical models such as Linear, Logistic, or Cox regressions. In this study, a high-dimensional epidemiological cohort,...

The Impact of Postoperative Renal Function Recovery after Laparoscopic and Robot-Assisted Partial Nephrectomy in Patients with Renal Cell Carcinoma.

Medicina (Kaunas, Lithuania)
Background and objectives: This study aimed to evaluate the association between warm ischemic time (WIT) and postoperative renal function using Trifecta achievement in patients with renal cell carcinoma (RCC) who underwent robotic (RAPN) or laparosco...

Deep Learning Classification of Spinal Osteoporotic Compression Fractures on Radiographs using an Adaptation of the Genant Semiquantitative Criteria.

Academic radiology
RATIONALE AND OBJECTIVES: Osteoporosis affects 9% of individuals over 50 in the United States and 200 million women globally. Spinal osteoporotic compression fractures (OCFs), an osteoporosis biomarker, are often incidental and under-reported. Accura...

Fully automatic resolution of untargeted GC-MS data with deep learning assistance.

Talanta
DeepResolution (Deep learning-assisted multivariate curve Resolution) has been proposed to solve the co-eluting problem for GC-MS data. However, DeepResolution models must be retrained when encountering unknown components, which is undoubtedly time-c...