AIMC Topic: Artificial Intelligence

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Intake monitoring in free-living conditions: Overview and lessons we have learned.

Appetite
The progress in artificial intelligence and machine learning algorithms over the past decade has enabled the development of new methods for the objective measurement of eating, including both the measurement of eating episodes as well as the measurem...

Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines).

Journal of nuclear medicine : official publication, Society of Nuclear Medicine
An important need exists for strategies to perform rigorous objective clinical-task-based evaluation of artificial intelligence (AI) algorithms for nuclear medicine. To address this need, we propose a 4-class framework to evaluate AI algorithms for p...

Using machine learning techniques to predict antimicrobial resistance in stone disease patients.

World journal of urology
PURPOSE: Artificial intelligence is part of our daily life and machine learning techniques offer possibilities unknown until now in medicine. This study aims to offer an evaluation of the performance of machine learning (ML) techniques, for predictin...

Inertial Data-Based AI Approaches for ADL and Fall Recognition.

Sensors (Basel, Switzerland)
The recognition of Activities of Daily Living (ADL) has been a widely debated topic, with applications in a vast range of fields. ADL recognition can be accomplished by processing data from wearable sensors, specially located at the lower trunk, whic...

Fear Detection in Multimodal Affective Computing: Physiological Signals versus Catecholamine Concentration.

Sensors (Basel, Switzerland)
Affective computing through physiological signals monitoring is currently a hot topic in the scientific literature, but also in the industry. Many wearable devices are being developed for health or wellness tracking during daily life or sports activi...

Innovating Pedagogical Practices for Handmade Courses in Preschool Education Using Artificial Intelligence.

Computational and mathematical methods in medicine
Handmade is an important part of preschool education, which was aimed at improving children's ability to work with their hands. Preschool education is the most basic and important aspect of a country's educational system. As a result, individuals pur...

Predicting the number of days in court cases using artificial intelligence.

PloS one
Brazilian legal system prescribes means of ensuring the prompt processing of court cases, such as the principle of reasonable process duration, the principle of celerity, procedural economy, and due legal process, with a view to optimizing procedural...

Detecting the presence of taurodont teeth on panoramic radiographs using a deep learning-based convolutional neural network algorithm.

Oral radiology
OBJECTIVES: Artificial intelligence (AI) techniques like convolutional neural network (CNN) are a promising breakthrough that can help clinicians analyze medical imaging, diagnose taurodontism, and make therapeutic decisions. The purpose of the study...

Impact of digital transformation on the future of medical education and practice.

Journal of cardiac surgery
In this article, the author provides synopses of the factors that have finally propelled health-care education and practice to join, at times reluctantly, the overarching digital transformative process that has been swept other industries over the la...