AIMC Topic: Humans

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Identification of hospitalized mortality of patients with COVID-19 by machine learning models based on blood inflammatory cytokines.

Frontiers in public health
Coronavirus disease 2019 (COVID-19) spread worldwide and presented a significant threat to people's health. Inappropriate disease assessment and treatment strategies bring a heavy burden on healthcare systems. Our study aimed to construct predictive ...

Tracking financing for global common goods for health: A machine learning approach using natural language processing techniques.

Frontiers in public health
OBJECTIVE: Tracking global health funding is a crucial but time consuming and labor-intensive process. This study aimed to develop a framework to automate the tracking of global health spending using natural language processing (NLP) and machine lear...

Evaluating the Impact of Assessment Metrics for Simulated Central Venous Catheterization Training.

Simulation in healthcare : journal of the Society for Simulation in Healthcare
INTRODUCTION: Performance assessment and feedback are critical factors in successful medical simulation-based training. The Dynamic Haptic Robotic Trainer (DHRT) allows residents to practice ultrasound-guided needle insertions during simulated centra...

Neurotechnology's Prospects for Bringing About Meaningful Reductions in Neurological Impairment.

Neurorehabilitation and neural repair
Here we report and comment on the magnitudes of post-stroke impairment reduction currently observed using new neurotechnologies. We argue that neurotechnology's best use case is impairment reduction as this is neither the primary strength nor main go...

Artificial Intelligence in Health: Enhancing a Return to Patient-Centered Communication.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
The medical environment is on the verge of a dramatic transformation as artificial intelligence (AI) evolves. With the inevitable shift toward AI in health care delivery, there are concerns around its implementation, including ethics, privacy, data r...

Deep learning approach for prediction of exergy and emission parameters of commercial high by-pass turbofan engines.

Environmental science and pollution research international
Aviation emissions originated from the fuel burn have been hot topics by engineers and policy-makers due to their harmful effects on the environment and thereby human health as well as sustainability. In this study, it is tried that several emission ...

Artificial intelligence system for automated landmark localization and analysis of cephalometry.

Dento maxillo facial radiology
OBJECTIVES: Cephalometric analysis is essential for diagnosis, treatment planning and outcome assessment of orthodontics and orthognathic surgery. Utilizing artificial intelligence (AI) to achieve automated landmark localization has proved feasible a...

Countering a Drone in a 3D Space: Analyzing Deep Reinforcement Learning Methods.

Sensors (Basel, Switzerland)
Unmanned aerial vehicles (UAV), also known as drones have been used for a variety of reasons and the commercial drone market growth is expected to reach remarkable levels in the near future. However, some drone users can mistakenly or intentionally f...