AIMC Topic: Middle Aged

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Death by Robots? Automation and Working-Age Mortality in the United States.

Demography
The decline of manufacturing employment is frequently invoked as a key cause of worsening U.S. population health trends, including rising mortality due to "deaths of despair." Increasing automation-the use of industrial robots to perform tasks previo...

Early Experience of Transabdominal and Novel Transvaginal Robot-Assisted Laparoscopic Removal of Transvaginal Mesh.

Journal of endourology
Mesh removal after transvaginal mesh placement has typically involved transvaginal, open pelvic, laparoscopic, or a combination of approaches. Robotic pelvic mesh removal has been described in a small number of cases only. This study aims at determi...

A systemic review and meta-analysis of the effects of perioperative anticoagulant and antiplatelet therapy on bleeding complications in robot-assisted prostatectomy.

European review for medical and pharmacological sciences
OBJECTIVE: Robot-assisted prostatectomy is commonly performed for the management of prostate cancer. The literature has noted that prostate cancer patients are often prone to increased risk for thromboembolic complications. Normally, such situations ...

[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.

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.

Analysis of a Deep Learning-Based Superresolution Algorithm Tailored to Partial Fourier Gradient Echo Sequences of the Abdomen at 1.5 T: Reduction of Breath-Hold Time and Improvement of Image Quality.

Investigative radiology
OBJECTIVES: The aim of this study was to investigate the feasibility and impact of a novel deep learning superresolution algorithm tailored to partial Fourier allowing retrospectively theoretical acquisition time reduction in 1.5 T T1-weighted gradie...

[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.