AIMC Topic: Artificial Intelligence

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Enhancing Aviation Safety through AI-Driven Mental Health Management for Pilots and Air Traffic Controllers.

Cyberpsychology, behavior and social networking
This article provides an overview of the mental health challenges faced by pilots and air traffic controllers (ATCs), whose stressful professional lives may negatively impact global flight safety and security. The adverse effects of mental health dis...

Unveiling the Larsen effect in the scientific literature domain: Navigating quality amidst the artificial intelligence-driven deluge.

Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
The challenges faced by the massive increase in scientific publications draw parallels to the Larsen effect, where an amplified sound loop leads to escalating noise. This phenomenon has resulted in information overload, making it difficult for resear...

AI nutrition recommendation using a deep generative model and ChatGPT.

Scientific reports
In recent years, major advances in artificial intelligence (AI) have led to the development of powerful AI systems for use in the field of nutrition in order to enhance personalized dietary recommendations and improve overall health and well-being. H...

Deep representation learning of chemical-induced transcriptional profile for phenotype-based drug discovery.

Nature communications
Artificial intelligence transforms drug discovery, with phenotype-based approaches emerging as a promising alternative to target-based methods, overcoming limitations like lack of well-defined targets. While chemical-induced transcriptional profiles ...

The premise, promise, and perils of artificial intelligence in critical care cardiology.

Progress in cardiovascular diseases
Artificial intelligence (AI) is an emerging technology with numerous healthcare applications. AI could prove particularly useful in the cardiac intensive care unit (CICU) where its capacity to analyze large datasets in real-time would assist clinicia...

Legal implications of artificial intelligence in health care.

Clinics in dermatology
The last few years have seen a boom in the popularity of artificial intelligence (AI) around the world, and the health care sector has not been immune from what has been perceived by some as a revolutionary technology. Although AI has been around for...

Artificial intelligence in dermatology: Bridging the gap in patient care and education.

Clinics in dermatology
The application of artificial intelligence (AI) in education and clinical medicine has shown tremendous growth. The primary explanation for this application is AI's ability to integrate efficient and tailored methods for screening, using diagnostics,...

Factor-GAN: Enhancing stock price prediction and factor investment with Generative Adversarial Networks.

PloS one
Deep learning, a pivotal branch of artificial intelligence, has increasingly influenced the financial domain with its advanced data processing capabilities. This paper introduces Factor-GAN, an innovative framework that utilizes Generative Adversaria...

Development of an ensemble CNN model with explainable AI for the classification of gastrointestinal cancer.

PloS one
The implementation of AI assisted cancer detection systems in clinical environments has faced numerous hurdles, mainly because of the restricted explainability of their elemental mechanisms, even though such detection systems have proven to be highly...