AIMC Topic: Aged

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[Clinical study on application of 3D Slicer software assisted domestic frameless stereotactic robot in biopsy of intracranial lesions].

Zhonghua wai ke za zhi [Chinese journal of surgery]
To examine the application value of 3D Slicer software assisted domestic frameless stereotactic robot in biopsy of intracranial lesions. A retrospective analysis was performed on 80 patients who admitted consecutively and underwent intracerebral le...

Predictors of urinary function recovery after laparoscopic and robot-assisted radical prostatectomy.

International braz j urol : official journal of the Brazilian Society of Urology
INTRODUCTION: Even in the era of laparoscopic radical prostatectomy (LRP) and robot-assisted laparoscopic radical prostatectomy (RALP), we sometimes encounter patients with severe urinary incontinence after surgery. The aim of the present study was t...

[Effect of EIT-guided individualized PEEP setting on the incidence of hypoxemia in elderly patients undergoing robot-assisted radical prostatectomy].

Zhonghua yi xue za zhi
To investigate the effect of individualized positive end expiratory pressure (PEEP) setting guided by chest electrical impedance tomography (EIT) on the incidence of hypoxemia in elderly patients undergoing robot-assisted radical prostatectomy in th...

[Case of Robot-Assisted Low Anterior Resection with Total Cystectomy for Rectal Cancer Invading the Urinary Bladder/Prostate in Collaboration with Urologists].

Gan to kagaku ryoho. Cancer & chemotherapy
We present a case of a 72-year-old man diagnosed with rectal cancer invading the urinary bladder/prostate. Preoperative chemoradiotherapy substantially reduced the tumor size. In collaboration with urologists, robot-assisted low anterior resection wi...

[A Case of Rectal Cancer with Bladder Invasion Performed with Robot-Assisted Low Anterior Resection after TNT].

Gan to kagaku ryoho. Cancer & chemotherapy
A 73-year-old woman was admitted with a chief complaint of weight loss. Colonoscopy revealed rectal cancer. After the placement of a colonic stent, the patient was referred to our department. Computed tomography, magnetic resonance imaging, and cysto...

[A Case of Robotic Distal Pancreatectomy for Pancreatic Metastasis of Gastric Cancer].

Gan to kagaku ryoho. Cancer & chemotherapy
A 78-year-old male who had received laparoscopic total gastrectomy for upper gastric cancer 30 months ago(pT3N0, pStage ⅡB)was referred for further treatment for a 30-mm in size mass at the splenic hilum. The mass was suspected of lymph node metastas...

Towards emotionally aligned social robots for dementia: perspectives of care partners and persons with dementia.

Alzheimer's & dementia : the journal of the Alzheimer's Association
BACKGROUND: Persons living with dementia and their care partners place a high value on aging in place and maintaining independence. Socially assistive robots - embodied characters or pets that provide companionship and aid through social interaction ...

Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease.

Renal failure
BACKGROUND: Acute kidney injury (AKI) is more likely to develop in the elderly admitted to the intensive care unit (ICU). Acute kidney disease (AKD) affects ∼45% of patients with AKI and increases short-term mortality. However, there are no studies o...

Machine learning models predicting undertriage in telephone triage.

Annals of medicine
BACKGROUND: Undertriaged patients have worse outcomes than appropriately triaged patients. Machine learning provides better triage prediction than conventional triage in emergency departments, but no machine learning-based undertriage prediction mode...

Machine learning for the prediction of acute kidney injury in critical care patients with acute cerebrovascular disease.

Renal failure
PURPOSE: Acute kidney injury (AKI) is a common complication and associated with a poor clinical outcome. In this study, we developed and validated a model for predicting the risk of AKI through machine learning methods in critical care patients with ...