Illegal dumping is a major challenge of municipal solid waste management. A significant portion of waste is dumped illegally in cities worldwide. This improper waste disposal creates serious ecological degradation, environmental hazards, public healt... read more
BACKGROUND AND OBJECTIVES: Family caregivers face elevated risks for mental and physical health issues but have difficulty accessing informational and supportive resources. Chat-based artificial intelligence (AI) tools, such as chatbots using large l... read more
BACKGROUND AND OBJECTIVES: As China accelerates artificial intelligence (AI) integration in care of older adults to address population aging, understanding older adults' (65+) engagement with assistive technologies becomes imperative. However, their ... read more
With the development of smart grids and the complexity of power marketing, accurately predicting users behavior and recommending suitable products to users become more and more important in power marketing. However, current methods still have some pr... read more
BACKGROUND: Artificial intelligence-based medical devices (AIMDs) have emerged as transformative technologies in modern health care. However, comprehensive analysis of recent approval trends and characteristics of AIMDs in China remains limited. OBJE... read more
Prospective integration of large language model tools into a classical hematology challenging-cases conference was feasible, increased clinician familiarity and interest, and was perceived as diagnostically and educationally valuable. read more
BACKGROUND: Mandibular structures offer resilient features for forensic identification where partial remains are available in postmortem condition. Deep learning applied to cephalometric radiographs offers an opportunity to predict demographic attrib... read more
Imitation learning (IL) has succeeded in enabling robots to perform new tasks by learning from demonstrations. However, its success is often constrained by the need for direct skill mappings between a learner and a demonstrator under identical condit... read more
BACKGROUND: Predictive medicine relies on algorithms to determine clinical treatments tailored to each patient's individual characteristics. Predictive models based on artificial intelligence have shown promise in identifying atrial fibrillation epis... read more
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