The integration of human and machine intelligence promises to profoundly change the practice of medicine. The rapidly increasing adoption of artificial intelligence (AI) solutions highlights its potential to streamline physician work and optimize cli...
BMC medical informatics and decision making
Jul 6, 2022
BACKGROUND: Our aim was to develop a machine learning model, using real-world data captured from a connected auto-injector device and from early indicators from the first 3 months of treatment, to predict sub-optimal adherence to recombinant human gr...
Computational intelligence and neuroscience
Jul 6, 2022
The purpose was to timely identify the mental disorders (MDs) of students receiving primary and secondary education (PSE) (PSE students) and improve their mental quality. Firstly, this work analyzes the research status of the mental health model (MHM...
OBJECTIVES: This study aimed to develop a fully automated artificial intelligence-aided cervical vertebral maturation (CVM) classification method based on convolutional neural networks (CNNs) to provide an auxiliary diagnosis for orthodontists.
INTRODUCTION: Robotic partial nephrectomy is a complex minimally invasive procedure that addresses the intricate anatomy of renal masses while maximizing preservation of renal function. However, while common in adults, the evolution toward these mini...
Diagnostic and interventional imaging
Jun 29, 2022
PURPOSE: The main objective of this study was to compare radiologists' performance without and with artificial intelligence (AI) assistance for the detection of bone fractures from trauma emergencies.
The study proposes a novel method to empower healthcare professionals to interact and leverage AI decision support in an intuitive manner using auditory senses. The method's suitability is assessed through acoustic detection of the presence of neonat...
OBJECTIVE: To understand the current situation of professional identity and life significance of clinical medical freshmen in a university in Xinjiang, analyze its influencing factors, find out the influencing factors and causes, and intervene and im...
International journal of environmental research and public health
Jun 28, 2022
Artificial intelligence (AI) and machine learning (ML) in healthcare are approaches to make people's lives easier by anticipating and diagnosing diseases more swiftly than most medical experts. There is a direct link between the insurer and the polic...
INTRODUCTION: Procedures involving the external genitalia are the most common pediatric urologic operations. Our group identified excess instrumentation for these cases to be a potential cause of operating room (OR) inefficiency at our large, freesta...
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