AIMC Topic: Artificial Intelligence

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Computational Biomaterials: Computational Simulations for Biomedicine.

Advanced materials (Deerfield Beach, Fla.)
With the flourishing development of material simulation methods (quantum chemistry methods, molecular dynamics, Monte Carlo, phase field, etc.), extensive adoption of computing technologies (high-throughput, artificial intelligence, machine learning,...

Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning.

Balkan medical journal
In the field of computer science, known as artificial intelligence, algorithms imitate reasoning tasks that are typically performed by humans. The techniques that allow machines to learn and get better at tasks such as recognition and prediction, whi...

Mateverse, the Future Materials Science Computation Platform Based on Metaverse.

The journal of physical chemistry letters
Currently, computational materials science involves human-computer interaction through coding in software or neural networks. There is still no direct way for human intelligence endorsement. The digitalization of human intelligence should be the ulti...

Biases in human perception of facial age are present and more exaggerated in current AI technology.

Scientific reports
Our estimates of a person's age from their facial appearance suffer from several well-known biases and inaccuracies. Typically, for example, we tend to overestimate the age of smiling faces compared to those with a neutral expression, and the accurac...

Machine learning in the coagulation and hemostasis arena: an overview and evaluation of methods, review of literature, and future directions.

Journal of thrombosis and haemostasis : JTH
Artificial Intelligence and machine-learning (ML) studies are increasingly populating the life science space and some have also started to integrate certain clinical decision support tasks. However, most of the activities within this space understand...

Diagnosis of arrhythmias with few abnormal ECG samples using metric-based meta learning.

Computers in biology and medicine
A major challenge in artificial intelligence based ECG diagnosis lies that it is difficult to obtain sufficient annotated training samples for each rhythm type, especially for rare diseases, which makes many approaches fail to achieve the desired per...

How Do Autonomous Vehicles Decide?

Sensors (Basel, Switzerland)
The advancement in sensor technologies, mobile network technologies, and artificial intelligence has pushed the boundaries of different verticals, e.g., eHealth and autonomous driving. Statistics show that more than one million people are killed in t...

The role of valence, dominance, and pitch in perceptions of artificial intelligence (AI) conversational agents' voices.

Scientific reports
There is growing concern that artificial intelligence conversational agents (e.g., Siri, Alexa) reinforce voice-based social stereotypes. Because little is known about social perceptions of conversational agents' voices, we investigated (1) the dimen...

An accurate deep learning model for wheezing in children using real world data.

Scientific reports
Auscultation is an important diagnostic method for lung diseases. However, it is a subjective modality and requires a high degree of expertise. To overcome this constraint, artificial intelligence models are being developed. However, these models req...