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Patient satisfaction analysis of robot-assisted minimally invasive adrenalectomy: a single-center retrospective study.

Journal of robotic surgery
The objective of this study is to compare the satisfaction of patients undergoing robot-assisted retroperitoneal laparoscopy adrenalectomy under the ambulatory mode and conventional mode. Basic information and clinical data of patients who underwent ...

Early-stage neutralizing antibody level associated with the re-positive risk of Omicron SARS-CoV-2 RNA in patients recovered from COVID-19.

Diagnostic microbiology and infectious disease
Post-discharge re-positivity of Omicron SARS-CoV-2 is challenging for the sufficient control of this pandemic. However, there are few studies about the risk of re-positivity. We aimed to explore the association of neutralizing antibodies (nAbs, AU/mL...

Effects of User-Reported Risk Factors and Follow-Up Care Activities on Satisfaction With a COVID-19 Chatbot: Cross-Sectional Study.

JMIR mHealth and uHealth
BACKGROUND: The COVID-19 pandemic influenced many to consider methods to reduce human contact and ease the burden placed on health care workers. Conversational agents or chatbots are a set of technologies that may aid with these challenges. They may ...

Home-based upper limb stroke rehabilitation mechatronics: challenges and opportunities.

Biomedical engineering online
Interest in home-based stroke rehabilitation mechatronics, which includes both robots and sensor mechanisms, has increased over the past 12 years. The COVID-19 pandemic has exacerbated the existing lack of access to rehabilitation for stroke survivor...

Using explainable machine learning to identify patients at risk of reattendance at discharge from emergency departments.

Scientific reports
Short-term reattendances to emergency departments are a key quality of care indicator. Identifying patients at increased risk of early reattendance could help reduce the number of missed critical illnesses and could reduce avoidable utilization of em...

The use of artificial neural networks to predict delayed discharge and readmission in enhanced recovery following laparoscopic colorectal cancer surgery.

Techniques in coloproctology
BACKGROUND: Artificial neural networks (ANNs) can be used to develop predictive tools to enable the clinical decision-making process. This study aimed to investigate the use of an ANN in predicting the outcomes from enhanced recovery after colorectal...

The Application Artificial Intelligence-Assisted Robot System in Nursing Follow-up of Discharged Patients.

Studies in health technology and informatics
To construct a robot intelligent discharge follow-up platform and explore its application effects in clinical discharge follow-up scenarios Applying intelligent voice technology to build a robot intelligent discharge follow-up platform, replacing nur...

Long-term SARS-CoV-2 neutralizing antibody level prediction using multimodal deep learning: A prospective cohort study on longitudinal data in Wuhan, China.

Journal of medical virology
The ongoing epidemic of SARS-CoV-2 is taking a substantial financial and health toll on people worldwide. Assessing the level and duration of SARS-CoV-2 neutralizing antibody (Nab) would provide key information for government to make sound healthcare...

Promoting the Importance of Recall Visits Among Dental Patients in India Using a Semi-Autonomous AI System.

Studies in health technology and informatics
In many developing countries like India, there is a widespread lack of general awareness about the importance of good oral health, which causes dental patients to neglect their oral hygiene, thus precipitating many long-term ailments. We developed an...