AIMC Topic: Machine Learning

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The Enactive and Interactive Dimensions of AI: Ingenuity and Imagination Through the Lens of Art and Music.

Artificial life
Dualisms are pervasive. The divisions between the rational mind, the physical body, and the external natural world have set the stage for the successes and failures of contemporary cognitive science and artificial intelligence.1 Advanced machine lear...

An Active Learning Framework Improves Tumor Variant Interpretation.

Cancer research
A novel machine learning approach predicts the impact of tumor mutations on cellular phenotypes, overcomes limited training data, minimizes costly functional validation, and advances efforts to implement cancer precision medicine.

Artificial intelligence and computer vision in orthopaedic trauma : the why, what, and how.

The bone & joint journal
Artificial intelligence (AI) is, in essence, the concept of 'computer thinking', encompassing methods that train computers to perform and learn from executing certain tasks, called machine learning, and methods to build intricate computer models that...

Development and Validation of a Machine Learning Algorithm Predicting Emergency Department Use and Unplanned Hospitalization in Patients With Head and Neck Cancer.

JAMA otolaryngology-- head & neck surgery
IMPORTANCE: Patient-reported symptom burden was recently found to be associated with emergency department use and unplanned hospitalization (ED/Hosp) in patients with head and neck cancer. It was hypothesized that symptom scores could be combined wit...

Machine-learning-based quality-level-estimation system for inspecting steel microstructures.

Microscopy (Oxford, England)
Quality control of special steel is accomplished through visual inspection of its microstructure based on microscopic images. This study proposes an 'automatic-quality-level-estimation system' based on machine learning. Visual inspection of this type...

SurvBenchmark: comprehensive benchmarking study of survival analysis methods using both omics data and clinical data.

GigaScience
Survival analysis is a branch of statistics that deals with both the tracking of time and the survival status simultaneously as the dependent response. Current comparisons of survival model performance mostly center on clinical data with classic stat...