AIMC Topic: Artificial Intelligence

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Beyond safety drivers: Applying air traffic control principles to support the deployment of driverless vehicles.

PloS one
By adopting and extending lessons from the air traffic control system, we argue that a nationwide remote monitoring system for driverless vehicles could increase safety dramatically, speed these vehicles' deployment, and provide employment. It is bec...

The emerging roles of artificial intelligence in cancer drug development and precision therapy.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Artificial intelligence (AI) has strong logical reasoning ability and independent learning ability, which can simulate the thinking process of the human brain. AI technologies such as machine learning can profoundly optimize the existing mode of anti...

Application and Translation of Artificial Intelligence to Cardiovascular Imaging in Nuclear Medicine and Noncontrast CT.

Seminars in nuclear medicine
Myocardial perfusion imaging with single photon emission computed tomography or positron emission tomography is commonly used for diagnosis and risk stratification in patients with known or suspected coronary artery disease. Current scanners often in...

Viewpoint on Time Series and Interrupted Time Series Optimum Modeling for Predicting Arthritic Disease Outcomes.

Current rheumatology reports
PURPOSE OF REVIEW: The propose of this viewpoint is to improve or facilitate the clinical decision-making in the management/treatment strategies of arthritis patients through knowing, understanding, and having access to an interactive process allowin...

Artificial intelligence may offer insight into factors determining individual TSH level.

PloS one
The factors that determine Serum Thyrotropin (TSH) levels have been examined through different methods, using different covariates. However, the use of machine learning methods has so far not been studied in population databases like NHANES (National...

An improved common spatial pattern combined with channel-selection strategy for electroencephalography-based emotion recognition.

Medical engineering & physics
Emotional human-computer interaction (HCI) has become an important research area in the fields of artificial intelligence and cognitive science, owing to the requirement for active emotion perception. To enhance the performance of electroencephalogra...

Artificial Intelligence for Natural Hazards Risk Analysis: Potential, Challenges, and Research Needs.

Risk analysis : an official publication of the Society for Risk Analysis
Artificial intelligence (AI) methods have seen increasingly widespread use in everything from consumer products and driverless cars to fraud detection and weather forecasting. The use of AI has transformed many of these application domains. There are...

Transfer Learning: Making Retrosynthetic Predictions Based on a Small Chemical Reaction Dataset Scale to a New Level.

Molecules (Basel, Switzerland)
Effective computational prediction of complex or novel molecule syntheses can greatly help organic and medicinal chemistry. Retrosynthetic analysis is a method employed by chemists to predict synthetic routes to target compounds. The target compounds...

In reply to 'clinical biochemistry test eliminator providing cost-effectiveness with five algorithms': the Casablanca strategy.

Acta clinica Belgica
In this journal, Ataman Gönel recently demonstrated that elimination of requested unnecessary tests by means of algorithms in an artificial intelligence program may contribute to the cost-effectiveness of medicine. However, test ordering is an essent...