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Functional data analysis of ground reaction forces combined with clinical measures for early knee osteoarthritis detection.

Scientific reports
Early detection of knee osteoarthritis (KOA) is essential to improve treatment outcomes and reduce its long-term impact. However, early diagnosis of KOA (EKOA) remains difficult due to the absence of standardised criteria and the subtle or intermitte...

Pilot case control evaluation of artificial intelligence assisted orthodontic monitoring and pediatric patient perception.

Scientific reports
Artificial Intelligence (AI) has become a key tool in the modernization of the healthcare industry, aiding dentists in performing their work more efficiently and effectively. The aim of this study was to evaluate orthodontic monitoring and patient pe...

MRI multi-sequence deep learning integration with clinical profiles for pediatric viral encephalitis diagnosis.

Scientific reports
Pediatric viral encephalitis is an acute central nervous system infection caused by various viruses, with diverse clinical manifestations and challenges in early diagnosis. The traditional diagnostic methods lack sufficient sensitivity and specificit...

Towards scalable age-grading of Aedes albopictus mosquito using mid-infrared spectroscopy and machine learning.

Scientific reports
The age structure and dynamics of mosquito populations are crucial for understanding their ability to spread diseases and assessing the effectiveness of anti-mosquito control measures. However, available methods to age-grade mosquito populations are ...

The influence of AI service robots' humorous response strategies on consumer forgiveness following service failure.

Scientific reports
As technology advances, more AI entities are deployed in public service roles. However, AI service robot failures are increasingly frequent, causing negative behaviors such as customer dissatisfaction or complaints. Service recovery plays a crucial r...

Perceptions of portable dentistry in Asia using machine learning models.

Scientific reports
Access to healthcare is a significant challenge for individuals with limited mobility, particularly in developing countries and among vulnerable populations in Asia. Portable dentistry offers an innovative solution by delivering essential dental serv...

Ability of the hypotension prediction index to predict hypotension in patients with septic shock in the intensive care unit.

Scientific reports
The hypotension prediction index (HPI) is a machine learning-based model for predicting hypotension. It provides good performance for predicting intraoperative hypotension but has rarely been studied in critically ill patients admitted to the intensi...

Explainable machine-learning-based predictions of blood lead levels and school drinking water contamination among children: a case study in Washington DC.

Scientific reports
Water quality degradation poses significant risks to human health, ecosystem, and community. Many cities continue to rely on outdated pipes and water distribution networks that are highly susceptible to leaks, corrosion, and lead contamination. The p...

Optimizing machine learning models for predicting health service access and determinants among pregnant women in rural Ethiopia.

Scientific reports
Pregnant women in rural Ethiopia face substantial barriers to accessing adequate healthcare services, contributing to adverse maternal and neonatal health outcomes. Traditional statistical approaches often fall short in capturing the complex, nonline...

An assisted diagnostic and prognostic model for endometrial cancer using 36 serological markers and clinical variables from 562 patients.

Scientific reports
Endometrial carcinoma (EC) has demonstrated a concerning epidemiological trajectory. Current evaluation systems for EC are limited to postoperative analysis, necessitating the development of a preoperative risk stratification model. Researchers aimed...