AIMC Topic: Male

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Technical features and the demonstrated advantages of the Retzius sparing robotic prostatectomy.

Archivos espanoles de urologia
OBJECTIVE: Robot-assisted laparoscopic  radical prostatectomy (RARP) is nowadays considered  the main surgical option for localized prostate cancer (PCa). We recently developed a new approach for RARP  avoiding all the Retzius structures involved in ...

Does component placement affect short-term clinical outcome in robotic-arm assisted unicompartmental knee arthroplasty?

The bone & joint journal
AIMS: The purpose of this multicentre observational study was to investigate the association between intraoperative component positioning and soft-tissue balancing on short-term clinical outcomes in patients undergoing robotic-arm assisted unicompart...

Randomized controlled trial of an online machine learning-driven risk assessment and intervention platform for increasing the use of crisis services.

Journal of consulting and clinical psychology
OBJECTIVE: Mental illness is a leading cause of disease burden; however, many barriers prevent people from seeking mental health services. Technological innovations may improve our ability to reach underserved populations by overcoming many existing ...

Quantifying upper extremity performance with and without assistance of a soft-robotic glove in elderly patients: A kinematic analysis.

Journal of rehabilitation medicine
OBJECTIVE: To explore the direct influence of a soft-robotic glove on movement duration and movement execution in elderly people with decreased hand function during a reach-and-grasp task.

Developing Machine Learning Models for Behavioral Coding.

Journal of pediatric psychology
OBJECTIVE: The goal of this research is to develop a machine learning supervised classification model to automatically code clinical encounter transcripts using a behavioral code scheme.

Nurses "Seeing Forest for the Trees" in the Age of Machine Learning: Using Nursing Knowledge to Improve Relevance and Performance.

Computers, informatics, nursing : CIN
Although machine learning is increasingly being applied to support clinical decision making, there is a significant gap in understanding what it is and how nurses should adopt it in practice. The purpose of this case study is to show how one applicat...

Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study.

The Journal of antimicrobial chemotherapy
BACKGROUND: Infection diagnosis can be challenging, relying on clinical judgement and non-specific markers of infection. We evaluated a supervised machine learning (SML) algorithm for diagnosing bacterial infection using routinely available blood par...

Brief Report: A Novel System to Evaluate Autism Spectrum Disorders Using Two Humanoid Robots.

Journal of autism and developmental disorders
We investigated the feasibility of our novel evaluation system for use with children with autism spectrum disorders (ASD). We prepared the experimental setting with two humanoid robots in reference to the birthday party scene in the Autism Diagnostic...