AIMC Topic: Artificial Intelligence

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An investigation of how perceived smart tourism technologies affect tourists' well-being in marine tourism.

PloS one
Tourism industry is the first of the five happiness industries, playing a crucial role in enhancing people's well-being and happiness. Its high-quality development cannot be achieved without the use of emerging technologies, and today people have gre...

Use of artificial intelligence in triaging of chest radiographs to reduce radiologists' workload.

European radiology
OBJECTIVES: To evaluate whether deep learning-based detection algorithms (DLD)-based triaging can reduce outpatient chest radiograph interpretation workload while maintaining noninferior sensitivity.

Improved prediction of protein-protein interactions by a modified strategy using three conventional docking software in combination.

International journal of biological macromolecules
Proteins play a crucial role in many biological processes, where their interaction with other proteins are integral. Abnormal protein-protein interactions (PPIs) have been linked to various diseases including cancer, and thus targeting PPIs holds pro...

A novel approach for screening standard anteroposterior pelvic radiographs in children.

European journal of pediatrics
UNLABELLED: Anteroposterior pelvic radiography is the first-line imaging modality for diagnosing developmental dysplasia of the hip (DDH). Nonstandard radiographs with pelvic malposition make the correct diagnosis of DDH challenging. However, as the ...

Acid-resistant enzymes: the acquisition strategies and applications.

Applied microbiology and biotechnology
Enzymes have promising applications in chemicals, food, pharmaceuticals, and other variety products because of their high efficiency, specificity, and environmentally friendly properties. However, due to the complexity of raw materials, pH, temperatu...

A Case for Synthetic Data in Regulatory Decision-Making in Europe.

Clinical pharmacology and therapeutics
Regulators are faced with many challenges surrounding health data usage, including privacy, fragmentation, validity, and generalizability, especially in the European Union, for which synthetic data may provide innovative solutions. Synthetic data, de...

Discovering the mechanism of action of drugs with a sparse explainable network.

EBioMedicine
BACKGROUND: Although Deep Neural Networks (DDNs) have been successful in predicting the efficacy of cancer drugs, the lack of explainability in their decision-making process is a significant challenge. Previous research proposed mimicking the Gene On...

[Large language models such as ChatGPT and GPT-4 for patient-centered care in radiology].

Radiologie (Heidelberg, Germany)
BACKGROUND: With the introduction of ChatGPT in late November 2022, large language models based on artificial intelligence have gained worldwide recognition. These language models are trained on vast amounts of data, enabling them to process complex ...

Application of Deep Learning Techniques for Detection of Pneumothorax in Chest Radiographs.

Sensors (Basel, Switzerland)
With the advent of Artificial Intelligence (AI) and even more so recently in the field of Machine Learning (ML), there has been rapid progress across the field. One of the prominent examples is image recognition in the medical category, such as X-ray...