AIMC Topic: Male

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[Robot-assisted partial nephrectomy with selective ischemia].

Urologiia (Moscow, Russia : 1999)
INTRODUCTION: Clamping of the renal artery during partial nephrectomy leads to renal ischemia and a deterioration of its function. An alternative to total ischemia is to isolate and clamp the segmental branch of the renal artery supplying the tumor.

DENOISING SWEPT SOURCE OPTICAL COHERENCE TOMOGRAPHY VOLUMETRIC SCANS USING A DEEP LEARNING MODEL.

Retina (Philadelphia, Pa.)
PURPOSE: To evaluate the use of a deep learning noise reduction model on swept source optical coherence tomography volumetric scans.

Lasers in laparoscopic and robotic surgery: is there a need for them.

Current opinion in urology
PURPOSE OF REVIEW: The application of lasers in treating urological disorders is a developing area. In the laparoscopic and robotic surgery, laser energy is not so popular as in the treatment of stone disease and benign prostatic hyperplasia. The aim...

Machine Learning Identifies Digital Phenotyping Measures Most Relevant to Negative Symptoms in Psychotic Disorders: Implications for Clinical Trials.

Schizophrenia bulletin
BACKGROUND: Digital phenotyping has been proposed as a novel assessment tool for clinical trials targeting negative symptoms in psychotic disorders (PDs). However, it is unclear which digital phenotyping measurements are most appropriate for this pur...

DEVELOPMENT AND VALIDATION OF AN EXPLAINABLE ARTIFICIAL INTELLIGENCE FRAMEWORK FOR MACULAR DISEASE DIAGNOSIS BASED ON OPTICAL COHERENCE TOMOGRAPHY IMAGES.

Retina (Philadelphia, Pa.)
PURPOSE: To develop and validate an artificial intelligence framework for identifying multiple retinal lesions at image level and performing an explainable macular disease diagnosis at eye level in optical coherence tomography images.

Machine Learning Used to Compare the Diagnostic Accuracy of Risk Factors, Clinical Signs and Biomarkers and to Develop a New Prediction Model for Neonatal Early-onset Sepsis.

The Pediatric infectious disease journal
BACKGROUND: Current strategies for risk stratification and prediction of neonatal early-onset sepsis (EOS) are inefficient and lack diagnostic performance. The aim of this study was to use machine learning to analyze the diagnostic accuracy of risk f...

[Single oblique lumbar interbody fusion with robot-assisted posterior internal fixation for lumbar degenerative diseases].

Zhongguo gu shang = China journal of orthopaedics and traumatology
OBJECTIVE: To investigate the efficacy of single oblique lumbar interbody fusion(OLIF) with robot-assisted posterior internal fixation for the treatment of lumbar degenerative diseases.