AIMC Topic: Male

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Inter-individual deep image reconstruction via hierarchical neural code conversion.

NeuroImage
The sensory cortex is characterized by general organizational principles such as topography and hierarchy. However, measured brain activity given identical input exhibits substantially different patterns across individuals. Although anatomical and fu...

Deep Learning Radiomics for the Assessment of Telomerase Reverse Transcriptase Promoter Mutation Status in Patients With Glioblastoma Using Multiparametric MRI.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Studies have shown that magnetic resonance imaging (MRI)-based deep learning radiomics (DLR) has the potential to assess glioma grade; however, its role in predicting telomerase reverse transcriptase (TERT) promoter mutation status in pat...

Emergency department use and Artificial Intelligence in Pelotas: design and baseline results.

Revista brasileira de epidemiologia = Brazilian journal of epidemiology
OBJETIVO: To describe the initial baseline results of a population-based study, as well as a protocol in order to evaluate the performance of different machine learning algorithms with the objective of predicting the demand for urgent and emergency s...

Effects of ultrasound with an automatic vessel detection system using artificial intelligence on the selection of puncture points among ultrasound beginner clinical nurses.

The journal of vascular access
BACKGROUND: Ultrasound guidance increases the success rate of peripheral intravenous catheter placement. However, the longer time required to obtain ultrasound-guided access poses difficulties for ultrasound beginners. Notably, interpretation of ultr...

Nonalcoholic fatty liver disease (NAFLD) detection and deep learning in a Chinese community-based population.

European radiology
OBJECTIVES: We aimed to develop and validate a deep learning system (DLS) by using an auxiliary section that extracts and outputs specific ultrasound diagnostic features to improve the explainable, clinical relevant utility of using DLS for detecting...

Robot-assisted retroperitoneal lymph node dissection: a systematic review of perioperative outcomes.

BJU international
OBJECTIVE: To assess the safety and feasibility of robot-assisted retroperitoneal lymph node dissection (R-RPLND) and to compare the perioperative outcomes of R-RPLND with open RPLND (O-RPLND), as RPLND forms an integral part of the management of tes...

Deep Neural Networks-Based Age Estimation of Cadavers Using CT Imaging of Vertebrae.

International journal of environmental research and public health
Although age estimation upon death is important in the identification of unknown cadavers for forensic scientists, to the best of our knowledge, no study has examined the utility of deep neural network (DNN) models for age estimation among cadavers. ...

A Study of 57 Patients with Prostate Cancer to Compare Outcomes of Estimated Blood Loss and Postoperative Pain Between Robot-Assisted Laparoscopic Radical Prostatectomy and Standard Laparoscopic Radical Prostatectomy.

Medical science monitor : international medical journal of experimental and clinical research
BACKGROUND Robot-assisted radical prostatectomy (RARP) is becoming an increasingly common method for treatment of prostate cancer. This study aimed to compare outcomes of estimated blood loss and postoperative pain, determined by patient-controlled a...