Latest AI and machine learning research in surveys for healthcare professionals.
The development of digital instruments for mental health monitoring using biosensor data from wearable devices can enable remote, longitudinal, and objective quantitative benchmarks. To survey developments and trends in this field, we conducted a systematic review of artificial intelligence (AI) models using data from wearable biosensors to predict mental health conditions and symptoms. Following ...
The aim of this study was to evaluate the reliability and quality of information generated by ChatGPT regarding dental implants and peri-implant phenotypes. A structured questionnaire on these topics was presented to the AI-based chatbot, and its responses were assessed by dental professionals using a modified Global Quality Scale (GQS) and the DISCERN tool. The study included 60 participants divi...
Getting new insights on pre-weaned calf behavioral adaptation to routine challenges (transport, group relocation, etc.) and diseases (respiratory dise...
Autism spectrum disorder (ASD) is a neurodevelopmental condition that affects a child's cognitive and social skills, often diagnosed only after sympto...
The deployment of artificial intelligence (AI) is revolutionizing neuropharmacology and drug development, allowing the modulation of neurotransmitter ...
Pulse oximetry, although generally effective under ideal conditions, faces challenges in accurately estimating peripheral oxygen saturation (SpO) in c...
Learning behavior refers to the actions, attitudes, and strategies individuals employ when acquiring new knowledge. Time management is a perennial cha...
Electronic health records (EHR) have revolutionized cardiovascular disease (CVD) research by enabling comprehensive, large-scale, and dynamic data col...
Manually converting unstructured text pathology reports into structured pathology reports is very time-consuming and prone to errors. This study demon...
Generating new drug-like molecules is an essential aspect of drug discovery, and deep learning models significantly accelerate this process. Language ...
This study aims to construct a prediction model for the demand for medical and daily care services of the elderly and to explore the factors that affe...
OBJECTIVES: Osteoporosis, prevalent among the elderly population, is primarily diagnosed through bone mineral density (BMD) testing, which has limitat...
Gold standard genomic datasets severely under-represent non-European populations, leading to inequities and a limited understanding of human disease. ...
Metacognition and facial emotional expressions both play a major role in human social interactions [1, 2] as inner narrative and primary communication...
This study aims to explore the role of destination chatbots as innovative tools in travel planning, focusing on their ability to enhance user experien...
Federated learning (FL) has shown great potential in medical image computing since it provides a decentralized learning paradigm that allows multiple ...
Approximately 15% of patients suspected of having Parkinson's disease (PD) present dopamine active transporter (DaT) scans without evidence of dopamin...
While long-term opioid therapy is a widely utilized strategy for managing chronic pain, many patients have understandable questions and concerns rega...
Forensic psychiatry plays a critical role in legal contexts but is highly susceptible to cognitive biases that can undermine the accuracy and objectiv...
Despite the vast number of publications reporting seizures and the reliance of the field on accurate seizure detection, there is a lack of open-source...