Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 21,161 to 21,170 of 216,348 articles
Fear and Prompting: AI, Originary Technicity, and Colonialism.
Journal of the American Psychoanalytic Association
May 9, 2026
This paper examines psychoanalysts' affective and defensive responses to artificial intelligence (AI) through the lens of originary technicity, the philosophical claim that technology is constitutive of the human rather than external to it. Drawing o... read more
Psychosocial Resources and Constraints: Distinct Pathways to Positive and Negative Self-Perceptions of Aging in Diverse Older Adults.
Clinical gerontologist
May 9, 2026
OBJECTIVES: Self-perceptions of aging (SPA) predict behavioral health outcomes in later life, yet whether positive and negative attitudes arise from distinct psychosocial pathways remain unclear. This study examined correlates of positive and negativ... read more
Graph neural networks can predict ketosynthase substrate specificity.
Scientific reports
May 9, 2026
Modular polyketide synthases are a class of biosynthetic machinery responsible for the production of a chemically diverse range of natural products, including essential medicines. The modular architecture of this system presents as inherently rearran... read more
Uncovering advanced transfer learning strategies for deep neural networks in natural language processing.
Scientific reports
May 9, 2026
In the rapidly evolving landscape of Natural Language Processing (NLP), transfer learning has emerged as a game-changing methodology, fundamentally altering how machine learning models are trained and deployed. The study at hand dives deep into the i... read more
Exploring the prospects of artificial intelligence in transforming dental care for special needs groups: mapping the current evidence.
BDJ open
May 9, 2026
BACKGROUND: The integration of Artificial Intelligence (AI) in providing quality dental care to individuals with special needs has been scarcely explored and holds the potential to be transformative. This study aimed to map the current evidence and r... read more
Interpretable machine learning framework for urban flood susceptibility assessment: a multi-model comparison with spatial heterogeneity analysis in Yancheng.
Scientific reports
May 9, 2026
Under the combined effects of global climate change and rapid urbanization, low-lying coastal plain cities face increasingly severe flood threats. This study developed an urban flood susceptibility assessment framework integrating multi-model compari... read more
A national-scale sandy beach dataset for India derived from high-resolution satellite imagery and deep learning.
Scientific data
May 9, 2026
Sandy beaches are important coastal features with ecological, social, and economic significance, yet comprehensive national-scale datasets mapping their extent in India remain scarce. Here, we present a high-resolution, geo-referenced dataset of sand... read more
Federated sparse-learning framework for detecting low-rate stealth attacks in resource-constrained IoT devices.
Scientific reports
May 9, 2026
Low-rate stealth attacks present a major challenge in Internet of Things (IoT) environments because their slow, irregular, and noise-like traffic patterns evade traditional rate-based intrusion detection systems. To address this problem, this paper p... read more
Advanced computer-aided diagnosis for age-related macular degeneration: integrating segmentation and feature extraction for precise diagnosis.
Scientific reports
May 9, 2026
Age-related Macular Degeneration (AMD) is a leading cause of vision loss globally; necessitating early detection and precise diagnosis for effective intervention. This study presents a computer-aided diagnosis (CAD) system for AMD detection and diagn... read more
Machine learning and game theory for cybercrime risk assessment in online platform management systems.
Scientific reports
May 9, 2026
A proactive framework for cybercrime risk assessment, incorporated using machine learning algorithms and game theory, analyzes platform content moderation effectiveness. With machine learning algorithms, including K-means clustering, ridge regression... read more
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