Aim/Objective Within the dynamic healthcare technology landscape, this research aims to explore patient inquiries within outpatient clinics, elucidating the interplay between technology and healthcare intricacies. Building upon the initial intelligent guidance robot implementation shortcomings, this investigation seeks to enhance informatic robots with voice recognition technology. The objective is to analyze users' vocal patterns, discern age-associated vocal attributes, and facilitate age differentiation through subtle vocal nuances to enhance the efficacy of human-robot communication within outpatient clinical settings.
View Article and Find Full Text PDFThis study analyzes the implementation of a mobile intelligent guidance robot to roam hospital outpatient services and discusses the application's effect and experience. The data consist of human-robot verbal communications in November 2019 to analyze and evaluate the application according to the service volume, accuracy, and functions. Statistically, the accuracy of correct output by the intelligent guidance robot when answering related questions in outpatient services was significantly lower than the manufacturer's claimed expected accuracy.
View Article and Find Full Text PDFLiver cancer is the fifth-most common cancer worldwide, with the third-highest rate of cancer-related mortality. Hepatocellular carcinoma (HCC) is the leading pathologic subtype, contributing 85% to 90% of cases of primary liver cancer. Most HCC patients are diagnosed at an advanced stage at which treatment is not curative.
View Article and Find Full Text PDFBeijing Da Xue Xue Bao Yi Xue Ban
August 2010
Objective: To find out the data of the micturitions in healthy young people with the remote & mobile voiding diary monitoring system.
Methods: Twenty healthy young people were studied and ten of them were female. The ages ranged from 22 to 35 years (the mean age: 27.