AIMC Topic: Humans
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Generative AI and academic scientists in US universities: Perception, experience, and adoption intentions.
PloS one
Aug 28, 2025
The integration of generative Artificial Intelligence (AI) into academia has sparked interest and debate among academic scientists. This paper explores the early adoption and perceptions of US academic scientists regarding the use of generative AI in...
Optimizing ensemble machine learning models for accurate liver disease prediction in healthcare.
PloS one
Aug 28, 2025
Liver disease encompasses a range of conditions affecting the liver, including hepatitis, cirrhosis, fatty liver, and liver cancer. It can be caused by infections, alcohol abuse, obesity, or genetic factors, and it often progresses silently until adv...
Machine learning-based identification of diagnostic and prognostic mitotic cell cycle genes in hepatocellular carcinoma.
PloS one
Aug 28, 2025
Mitotic cell cycle (MCC) is a critical process in cell growth and division, and dysregulation of MCC genes may contribute to tumorigenesis. In this study, to identify diagnostic and prognostic value of MCC genes, differentially expressed MCC genes be...
Sulfur as a proxy for identifying coast-inland human mobility in Northern Iberia during Late Prehistory.
PloS one
Aug 28, 2025
Population movements constitute a significant driver of cultural change in prehistoric societies. In recent years, sulfur isotopes have emerged as a valuable approach for distinguishing human/animal provenance. However, the scarcity of sulfur isotope...
Bioinspired adaptive response speed for high-quality human-robot interactions.
Science advances
Aug 27, 2025
In human-robot interaction (HRI), the quality of user experience is paramount. Thus, developing strategies to tailor robotic responsiveness to user comfort zone is essential. However, current methods remain constrained by complex software and limited...
Estimating the predictability of questionable open-access journals.
Science advances
Aug 27, 2025
Questionable journals threaten global research integrity, yet manual vetting can be slow and inflexible. Here, we explore the potential of artificial intelligence (AI) to systematically identify such venues by analyzing website design, content, and p...
A heart failure classification model from radial artery pulse wave using LSTM neural networks.
BMC medical informatics and decision making
Aug 27, 2025
BACKGROUND: Heart failure (HF) represents a pressing global health issue demanding innovative and accessible approaches for early detection. Non-invasive, rapid, and cost-effective techniques utilizing deep learning (DL) hold significant promise for ...
Optimizing ambulance location based on road accident data in Rwanda using machine learning algorithms.
International journal of health geographics
Aug 27, 2025
BACKGROUND: The optimal placement of ambulances is critical for ensuring timely emergency medical responses, especially in regions with high accident frequencies. In Rwanda, where road accidents are a leading cause of injury and death, the strategic ...
Development and validation of a deep learning model for early detection and screening of diabetic retinopathy.
BMC medical informatics and decision making
Aug 27, 2025
Early diagnosis and screening of diabetic retinopathy (DR) are crucial for reducing medical burdens and conserving healthcare resources. This study introduces an advanced AI-assisted recognition system designed to enhance the detection of DR lesions ...
Deep learning-based automatic facial symmetry scoring in peripheral facial palsy.
Scientific reports
Aug 27, 2025
Unilateral peripheral facial palsy (PFP) results in facial asymmetry and functional impairment, reducing quality of life. Accurate, objective assessment is vital for monitoring and rehabilitation. This study presents an automated method utilizes stan...
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