With the rapid proliferation of generative artificial intelligence (GenAI), increasing scholarly attention has been directed toward college students' dependence on such tools. Using a questionnaire survey of 1099 college students, this study examined... read more
European heart journal. Digital health
Jan 21, 2026
AIMS: Focused cardiac ultrasound (FoCUS) can yield valuable information for decision-making. However, it is limited by the skills required to acquire and interpret high-quality images. Machine learning algorithms can help mitigate this gap by providi... read more
Experimental and therapeutic medicine
Jan 21, 2026
Esophageal high-resolution manometry (HRM) is an important tool for diagnosing and assessing esophageal achalasia. Artificial intelligence (AI)-assisted HRM image processing has the potential to aid in the diagnosis of esophageal achalasia. However, ... read more
Smart health (Amsterdam, Netherlands)
Jan 21, 2026
Due to insufficient insulin secretion, patients with type 1 diabetes mellitus (T1DM) are prone to blood glucose fluctuations ranging from hypoglycemia to hyperglycemia. While dangerous hypoglycemia may lead to coma immediately, chronic hyperglycemia ... read more
BACKGROUND: This study introduces a data-driven deep learning framework for optimizing the extraction of plant biomolecules, aiming to improve both efficiency and sustainability in analytical sample preparation. Conventional extraction methods such a... read more
Membrane bioreactor (MBR) operations are often characterized by reactive and suboptimal responses to complex fouling phenomena, leading to high operational costs. To facilitate a shift toward proactive management, this study developed and evaluated a... read more
Obsessive-compulsive disorder (OCD) is a chronic psychiatric disorder characterized by persistent intrusive thoughts and repetitive behaviors, significantly impacting patients' quality of life, social functioning, and overall well-being. Recent advan... read more
In this study, a non-destructive and accurate method based on computer vision and machine learning was developed to measure beef surface color and to predict storage time and the relative proportion of oxymyoglobin. Images of the Longissimus thoracis... read more
Exploiting deep learning methods to accelerate the analysis of medical images and the interpretation of pathology results for early diagnosis of Alzheimer's disease (AD) has recently attracted great attention. However, challenges like sub-optimal cla... read more
Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft
Jan 21, 2026
BACKGROUND: Animal anatomy is revolutionised by use of digital techniques where it is implicated in research, education, and diagnostics. Modern computational tools assist in analysis and mimic human logic and reasoning to solve a problem. Digital te... read more
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