AIMC Topic: Artificial Intelligence

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Three-dimensional forest foodscape in large herbivores' habitat based on UAV with LiDAR detection.

Integrative zoology
With the development of artificial intelligence, the integration of LiDAR technologies and foodscape theories to study wildlife habitat, nutritional ecology, species coexistence, and other existing hot and difficult issues would become an internation...

A statistical deformation model-based data augmentation method for volumetric medical image segmentation.

Medical image analysis
The accurate delineation of organs-at-risk (OARs) is a crucial step in treatment planning during radiotherapy, as it minimizes the potential adverse effects of radiation on surrounding healthy organs. However, manual contouring of OARs in computed to...

African bovid tribe classification using transfer learning and computer vision.

Annals of the New York Academy of Sciences
Objective analytical identification methods are still a minority in the praxis of paleobiological sciences. Subjective interpretation of fossils and their modifications remains a nonreplicable expert endeavor. Identification of African bovids is a cr...

Real-time detection of laryngopharyngeal cancer using an artificial intelligence-assisted system with multimodal data.

Journal of translational medicine
BACKGROUND: Laryngopharyngeal cancer (LPC) includes laryngeal and hypopharyngeal cancer, whose early diagnosis can significantly improve the prognosis and quality of life of patients. Pathological biopsy of suspicious cancerous tissue under the guida...

Cyberethics in nursing education: Ethical implications of artificial intelligence.

Nursing ethics
As the use of artificial intelligence (AI) technologies, particularly generative AI (Gen AI), becomes increasingly prevalent in nursing education, it is paramount to address the ethical implications of their implementation. This article explores the ...

Artificial Intelligence for Quantitative Modeling in Drug Discovery and Development: An Innovation and Quality Consortium Perspective on Use Cases and Best Practices.

Clinical pharmacology and therapeutics
Recent breakthroughs in artificial intelligence (AI) and machine learning (ML) have ushered in a new era of possibilities across various scientific domains. One area where these advancements hold significant promise is model-informed drug discovery a...