AIMC Topic: Artificial Intelligence

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Artificial intelligence enabled carbon capture: A review.

The Science of the total environment
Carbon capturing is imperative to fight climate change as much carbon emissions are liberated into the atmosphere, leading to adversely negative environmental impacts. Today's world addresses all the issues with the aid of digital technologies like d...

Ensuring privacy protection in the era of big laparoscopic video data: development and validation of an inside outside discrimination algorithm (IODA).

Surgical endoscopy
BACKGROUND: Laparoscopic videos are increasingly being used for surgical artificial intelligence (AI) and big data analysis. The purpose of this study was to ensure data privacy in video recordings of laparoscopic surgery by censoring extraabdominal ...

A reinforcement learning algorithm acquires demonstration from the training agent by dividing the task space.

Neural networks : the official journal of the International Neural Network Society
Although reinforcement learning (RL) has made numerous breakthroughs in recent years, addressing reward-sparse environments remains challenging and requires further exploration. Many studies improve the performance of the agents by introducing the st...

The implementation of a real time early warning system using machine learning in an Australian hospital to improve patient outcomes.

Resuscitation
BACKGROUND: Early Warning Scores (EWS) monitor inpatient deterioration predominantly using vital signs. We evaluated inpatient outcomes after implementing an Artificial Intelligence (AI) based intervention in our local EWS.

Sociodemographic Variables Reporting in Human Radiology Artificial Intelligence Research.

Journal of the American College of Radiology : JACR
PURPOSE: Artificial intelligence (AI) is rapidly reshaping how radiology is practiced. Its susceptibility to biases, however, is a primary concern as more AI algorithms become available for widespread use. So far, there has been limited evaluation of...

EgoCom: A Multi-Person Multi-Modal Egocentric Communications Dataset.

IEEE transactions on pattern analysis and machine intelligence
Multi-modal datasets in artificial intelligence (AI) often capture a third-person perspective, but our embodied human intelligence evolved with sensory input from the egocentric, first-person perspective. Towards embodied AI, we introduce the Egocent...

Basis for Accurate Protein p Prediction with Machine Learning.

Journal of chemical information and modeling
pH regulates protein structures and the associated functions in many biological processes via protonation and deprotonation of ionizable side chains where the titration equilibria are determined by p's. To accelerate pH-dependent molecular mechanism ...

AI-Guided Computing Insights into a Thermostat Monitoring Neonatal Intensive Care Unit (NICU).

Sensors (Basel, Switzerland)
In any healthcare setting, it is important to monitor and control airflow and ventilation with a thermostat. Computational fluid dynamics (CFD) simulations can be carried out to investigate the airflow and heat transfer taking place inside a neonatal...

Denoising diffusion probabilistic models for 3D medical image generation.

Scientific reports
Recent advances in computer vision have shown promising results in image generation. Diffusion probabilistic models have generated realistic images from textual input, as demonstrated by DALL-E 2, Imagen, and Stable Diffusion. However, their use in m...