AIMC Topic: Artificial Intelligence

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Language Artificial Intelligences' Communicative Performance Quantified Through the Gricean Conversation Theory.

Cyberpsychology, behavior and social networking
This study pragmatically investigates an artificial intelligence (AI) speaker (AIS)'s verbal communicative performance based on real AI-human conversation data. Specifically, this study explores Grice's conversation theory, which enables the categori...

Prediction of therapeutic intensity level from automatic multiclass segmentation of traumatic brain injury lesions on CT-scans.

Scientific reports
The prediction of the therapeutic intensity level (TIL) for severe traumatic brain injury (TBI) patients at the early phase of intensive care unit (ICU) remains challenging. Computed tomography images are still manually quantified and then underexplo...

Applications of Artificial Intelligence in Health Care Delivery.

Journal of medical systems
Health care costs now comprise nearly one-fifth of the United States' gross domestic product, with the last 25 years marked by rising administrative costs, a lack of labor productivity growth, and rising patient and physician dissatisfaction. Policy ...

Humans are biocultural, science should be too.

Science (New York, N.Y.)
COVID-19 is restructuring societies. Loneliness is a global health threat. Large language models are outputting biased health care information, and human-artificial intelligence (AI) interfaces are reshaping how we live. For most humans, technology, ...

Experimental validation of immunogenic SARS-CoV-2 T cell epitopes identified by artificial intelligence.

Frontiers in immunology
During the COVID-19 pandemic we utilized an AI-driven T cell epitope prediction tool, the NEC Immune Profiler (NIP) to scrutinize and predict regions of T cell immunogenicity (hotspots) from the entire SARS-CoV-2 viral proteome. These immunogenic reg...

Students' Foreign Language Learning Adaptability and Mental Health Supported by Artificial Intelligence.

Journal of autism and developmental disorders
The rapid development of social reform and the economy has brought great challenges to the mental health of college students. However, there are few studies on the impact of these psychological problems on college students' English learning. As a spe...

Artificial intelligence in endocrinology: a comprehensive review.

Journal of endocrinological investigation
BACKGROUND AND AIM: Artificial intelligence (AI) has emerged as a promising technology in the field of endocrinology, offering significant potential to revolutionize the diagnosis, treatment, and management of endocrine disorders. This comprehensive ...

Deep learning in computed tomography super resolution using multi-modality data training.

Medical physics
BACKGROUND: One of the limitations in leveraging the potential of artificial intelligence in X-ray imaging is the limited availability of annotated training data. As X-ray and CT shares similar imaging physics, one could achieve cross-domain data sha...

Leveraging ChatGPT for ophthalmic education: A critical appraisal.

European journal of ophthalmology
In recent years, the advent of artificial intelligence (AI) has transformed many sectors, including medical education. This editorial critically appraises the integration of ChatGPT, a state-of-the-art AI language model, into ophthalmic education, fo...

Artificial Intelligence: Exploring utility in detection and typing of fungus with futuristic application in fungal cytology.

Cytopathology : official journal of the British Society for Clinical Cytology
Artificial Intelligence (AI) is an emerging, transforming and revolutionary technology that has captured attention worldwide. It is translating research into precision oncology treatments. AI can analyse large or big data sets requiring high-speed sp...