Latest AI and machine learning research in surveys for healthcare professionals.
Several case series have demonstrated the safety and feasibility of outpatient robot-assisted radical prostatectomy (RARP) in well-selected patients; however, the patient perspective of this practice has not been well explored. In this study, we explored patients' perspectives on the potential barriers and benefits of outpatient RARP. We developed a multidimensional questionnaire to assess socio...
The objective of this article is to discuss the inherent bias involved with artificial intelligence-based decision support systems for healthcare. In this article, the authors describe some relevant work published in this area. A proposed overview of solutions is also presented. The authors believe that the information presented in this article will enhance the readers' understanding of this inher...
Autism has become a pressing healthcare challenge. The instruments used to aid diagnosis are time and labor expensive and require trained clinicians t...
The rising prevalence and global burden of diabetes fortify the need for more comprehensive and effective management to prevent, monitor, and treat di...
OBJECTIVES: To assess several criteria, such as concurrent, face, content, and construct validity of the RobotiX Mentor (RXM) simulator for basic robo...
Accessing patients' social needs is a critical challenge at emergency departments (EDs). However, most EDs do not have extra staff to administer scree...
To solve the problem of low accuracy in traditional fault diagnosis methods, a novel method of combining generalized frequency response function(GFRF)...
We seek to address current limitations of forensic risk assessments by introducing the first mobile, self-scoring, risk assessment software that relie...
To address substantial heterogeneity in patient response to treatment of chronic disorders and achieve the promise of precision medicine, individualiz...
Communication is a core component of effective healthcare that impacts many patient and doctor outcomes, yet is complex and challenging to both analys...
Our purpose was to assess the performance of full-dose (FD) PET image synthesis in both image and sinogram space from low-dose (LD) PET images and sin...
Pediatric robot-assisted surgery (RAS) is gaining increasing acceptance. We aimed to assess the diffusion of pediatric RAS in Italy, the training per...
BACKGROUND: The majority of stroke survivors experiences significant hand impairments, as weakness and spasticity, with a severe impact on the activit...
Ferroelectric HfZrO (Fe-HZO) with a larger remnant polarization () is achieved by using a poly-GeSn film as a channel material as compared with a poly...
The ActiGraph has a high ability to measure physical activity; however, it lacks an accurate posture classification to measure sedentary behavior. The...
Fetal yawning is of interest because of its clinical, developmental and theoretical implications. However, the methodological challenges of identifyin...
The general public's attitudes, demands, and expectations regarding medical AI could provide guidance for the future development of medical AI to sati...
Accurate early diagnosis of neurodegenerative diseases represents a growing challenge for current clinical practice. Promisingly, current tools can be...
Many developed and developing countries are facing an imminent population aging and rapid demographics changing problem. The need of various kinds of ...
Alignment-free methods, more time and memory efficient than alignment-based methods, have been widely used for comparing genome sequences or raw seque...