AIMC Topic: Artificial Intelligence

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Explaining machine-learning models for gamma-ray detection and identification.

PloS one
As more complex predictive models are used for gamma-ray spectral analysis, methods are needed to probe and understand their predictions and behavior. Recent work has begun to bring the latest techniques from the field of Explainable Artificial Intel...

The Rise of AI: How Artificial Intelligence is Revolutionizing Infectious Disease Control.

Annals of biomedical engineering
Artificial Intelligence (AI) has proven to be an effective tool in predicting, detecting, and mitigating the spread of infectious diseases, especially during the COVID-19 pandemic. The technology is increasingly playing a role in preventing future he...

Toward sustainable culture media: Using artificial intelligence to optimize reduced-serum formulations for cultivated meat.

The Science of the total environment
When considering options for future foods, cell culture approaches are at the fore, however, culture media to support the process has been identified as a significant contributor to the overall global warming potential (GWP) and cost of cultivated me...

Leveling Up: A Review of Machine Learning Models in the Cardiac ICU.

The American journal of medicine
Machine learning has emerged as a significant tool to augment the medical decision-making process. Studies have steadily accrued detailing algorithms and models designed using machine learning to predict and anticipate pathologic states. The cardiac ...

Artificial Intelligence-Based PTEN Loss Assessment as an Early Predictor of Prostate Cancer Metastasis After Surgery: A Multicenter Retrospective Study.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Phosphatase and tensin homolog (PTEN) loss is associated with adverse outcomes in prostate cancer and can be measured via immunohistochemistry. The purpose of the study was to establish the clinical application of an in-house developed artificial int...

APPRAISE-HRI: AN ARTIFICIAL INTELLIGENCE ALGORITHM FOR TRIAGE OF HEMORRHAGE CASUALTIES.

Shock (Augusta, Ga.)
Background: Hemorrhage remains the leading cause of death on the battlefield. This study aims to assess the ability of an artificial intelligence triage algorithm to automatically analyze vital-sign data and stratify hemorrhage risk in trauma patient...

Advanced Intelligent Control in Robots.

Sensors (Basel, Switzerland)
Advanced intelligent control (AIC) is a rapidly evolving and complex field that poses significant challenges [...].

Evaluation of a Medical Interview-Assistance System Using Artificial Intelligence for Resident Physicians Interviewing Simulated Patients: A Crossover, Randomized, Controlled Trial.

International journal of environmental research and public health
Medical interviews are expected to undergo a major transformation through the use of artificial intelligence. However, artificial intelligence-based systems that support medical interviews are not yet widespread in Japan, and their usefulness is uncl...

Diagnosis of invasive fungal infections: challenges and recent developments.

Journal of biomedical science
BACKGROUND: The global burden of invasive fungal infections (IFIs) has shown an upsurge in recent years due to the higher load of immunocompromised patients suffering from various diseases. The role of early and accurate diagnosis in the aggressive c...

The oracle of Delphi 2.0: considering artificial intelligence as a challenging tool for the treatment of eating disorders.

Eating and weight disorders : EWD
In this editorial, we discuss how the diffusion of Artificial Intelligence (AI)-based tools-such as the recently available conversational AIs-could impact and transform eating disorders (EDs) care. We try to envision the possible use of AI by individ...