Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 65,501 to 65,510 of 231,904 articles
Latest research
Regulation of AI use: further consideration and a personal proposal.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Jan 7, 2026
Building a national repository of dural-based lesions: clinical, pathological, and demographic insights from the Indian population.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Jan 7, 2026
BACKGROUND: Meningiomas are the most common dural-based intracranial tumors, yet Indian literature is predominantly composed of limited single-center studies, restricting nationwide representation and data-driven decision making. With artificial inte... read more
Relationship between artificial intelligence tool usage experience and academic stress among college students: Mediating role of loneliness and moderating role of academic self-efficacy.
Acta psychologica
Jan 7, 2026
As artificial intelligence (AI) rapidly integrates into higher education, AI tools are increasingly being utilized to support student learning. Although these tools offer efficiency and convenience, their psychological implications-particularly vis-à... read more
Data-driven prediction of child neglect and abuse using integrated municipal sources.
Child abuse & neglect
Jan 7, 2026
BACKGROUND: Child neglect and abuse are prevalent worldwide yet often incompletely reported and are frequently associated with long-term adverse physical and mental health outcomes. Municipal-level administrative data contain indicators relevant to d... read more
A synthetic biology roadmap for sustainable production of the plant-originated anti-cancer drug paclitaxel.
Trends in biotechnology
Jan 7, 2026
Paclitaxel, a clinically potent anticancer drug derived from Taxus species, faces persistent challenges in sustainable supply. Synthetic biology presents substantial opportunities for its de novo production, particularly with recent breakthroughs in ... read more
Somatic and psychological predictors of chronic postsurgical pain in cancer patients: a machine learning approach in a longitudinal two-centre study.
British journal of anaesthesia
Jan 7, 2026
BACKGROUND: Chronic postsurgical pain is a significant medical concern, particularly in cancer patients. However, most previous studies overlooked the psychological mechanisms contributing to this risk. The present study aimed to identify baseline pr... read more
An Interpretable Hybrid Neural Network Integrating Sinc-Convolution and Transformer for EEG-Based Depression Detection.
International journal of neural systems
Jan 7, 2026
EEG recordings obtained before medication are regarded as valuable biological indicators for depression detection. Currently, depression diagnosis based on EEG using convolutional neural networks (CNNs) has achieved relatively high detection performa... read more
Characteristics and determinants of artificial intelligence (AI) literacy in Chinese nursing students: A cross-sectional study.
International journal of nursing studies advances
Jan 7, 2026
BACKGROUND: Artificial intelligence literacy is essential for nursing students to become competent in navigating contemporary healthcare complexities and to ensure safe patient care. This literacy is needed urgently due to the rapid integration of ar... read more
Epidemiologic trajectories and burden of multidrug-resistant tuberculosis (MDR-TB) mortality across South Asia: An analysis of Global Burden of Disease data (1990-2023) with machine learning forecasting to 2050.
Journal of clinical tuberculosis and other mycobacterial diseases
Jan 7, 2026
BACKGROUND: Multidrug-resistant tuberculosis (MDR-TB) remains a major public health challenge in South Asia, which bears a disproportionate global burden. Comprehensive, longitudinal analyses of MDR-TB mortality trends, stratified by country and sex,... read more
CocoaMoniliaDataSet: A cocoa pod dataset to detect and classify Monilia roreri in real conditions.
Data in brief
Jan 7, 2026
Computer vision applications for detecting diseases in agriculture have been gaining relevance in recent years through the use of deep learning architectures. Digital image datasets serve as the main input for these architectures, enabling the analys... read more
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- Machine Learning 32655
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- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1395
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- IEEE transactions on neural networks and learning systems 927
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