AIMC Topic: Middle Aged

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[Clinical Outcome of Robot-Assisted Distal Pancreatectomy in Our Institutional Introduction].

Gan to kagaku ryoho. Cancer & chemotherapy
We evaluated the clinical outcome and assessed the safety of robot-assisted distal pancreatectomy(RADP)of early 5 cases in our institutional introduction. We followed the guidelines for introduction of robot-assisted pancreatectomy proposed by Japane...

[A Case of Gastric Granular Cell Tumor Resected by a Surgical Robot].

Gan to kagaku ryoho. Cancer & chemotherapy
A 46-year-old man was referred to further treatment for a 20 mm submucosal tumor at the gastric angle found during a medical check-up. Endoscopic ultrasonography and chest abdominal contrast-enhanced CT revealed the tumor was located at the 4th(prope...

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 ...

[Application of robot-assisted laparoscopic sentinel lymph node tracing in treating endometrial carcinoma].

Zhonghua fu chan ke za zhi
To investigate the value of robot-assisted laparoscopic indocyanine green sentinel lymph node (SLN) tracing in treating endometrial carcinoma. Thirty-two patients with early-staging endometrial carcinoma were operated with laparoscopic comprehensiv...

Prospective Validation of a Machine Learning Model for Low-Density Lipoprotein Cholesterol Estimation.

Laboratory medicine
OBJECTIVE: We aim to prospectively validate a previously developed machine learning algorithm for low-density lipoprotein cholesterol (LDL-C) estimation.

[Virtual reconstruction and clinical verification of maxillary defect based on deep learning].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
To construct a virtual reconstruction method including midspan maxillary defects and provide clinical reference by training a generative adversarial network (GAN) model. The CT data of middle-aged Han patients with oral diseases who visited the Dep...

Feasibility of Deep Learning-Based Analysis of Auscultation for Screening Significant Stenosis of Native Arteriovenous Fistula for Hemodialysis Requiring Angioplasty.

Korean journal of radiology
OBJECTIVE: To investigate the feasibility of using a deep learning-based analysis of auscultation data to predict significant stenosis of arteriovenous fistulas (AVF) in patients undergoing hemodialysis requiring percutaneous transluminal angioplasty...

Single-Port Robotic Radical Prostatectomy: Short-Term Outcomes and Learning Curve.

Journal of endourology
In 2018, the U.S. Food and Drug Administration approved the da Vinci single-port (SP) system, in which four instruments are still utilized, but enter through a single-site access trocar. Herein, we report the largest case series for SP robot-assiste...

Robot-assisted anatrophic nephrolithotomy for complete staghorn stone.

Medicine
To assess the efficacy and safety of robot-assisted anatrophic nephrolithotomy (RANL) as a choice of minimally invasive treatment for patients with complete staghorn stone. In a single-tertiary referral center retrospective study, 10 consecutive pati...