AIMC Topic: Artificial Intelligence

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An AI approach for managing financial systemic risk via bank bailouts by taxpayers.

Nature communications
Bank bailouts are controversial governmental decisions, putting taxpayers' money at risk to avoid a domino effect through the network of claims between financial institutions. Yet very few studies address quantitatively the convenience of government ...

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...

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...

LiDAR and Deep Learning-Based Standing Tree Detection for Firebreaks Applications.

Sensors (Basel, Switzerland)
Forest fire prevention is very important for the protection of the ecological environment, which requires effective prevention and timely suppression. The opening of the firebreaks barrier contributes significantly to forest fire prevention. The deve...

Applying Deep Learning for Breast Cancer Detection in Radiology.

Current oncology (Toronto, Ont.)
Recent advances in deep learning have enhanced medical imaging research. Breast cancer is the most prevalent cancer among women, and many applications have been developed to improve its early detection. The purpose of this review is to examine how va...

Identification of texture MRI brain abnormalities on first-episode psychosis and clinical high-risk subjects using explainable artificial intelligence.

Translational psychiatry
Structural MRI studies in first-episode psychosis and the clinical high-risk state have consistently shown volumetric abnormalities. Aim of the present study was to introduce radiomics texture features in identification of psychosis. Radiomics textur...

Evaluation of word embedding models to extract and predict surgical data in breast cancer.

BMC bioinformatics
BACKGROUND: Decisions in healthcare usually rely on the goodness and completeness of data that could be coupled with heuristics to improve the decision process itself. However, this is often an incomplete process. Structured interviews denominated De...