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Developing artificial intelligence tools for health care

ScienceDaily
Summary
Nutrition label

80% Informative

Reinforcement Learning (RL) is a class of machine learning algorithms able to make a series of decisions over time.

It can use evolving patient conditions, test results and previous treatment responses to suggest the next best step in personalized patient care.

The research introduces " Episodes of Care " ( EpiCare ), the first RL benchmark for health care.

QuantNets are looking to model graph-structured pose data to track behavior in mouse models and in human facial expressions extracted using computer vision.

The researchers foresee broad applicability for the new model.

They are still navigating the safety and complexity of applying cutting-edge AI methods to patient care.

VR Score

91

Informative language

98

Neutral language

44

Article tone

semi-formal

Language

English

Language complexity

77

Offensive language

not offensive

Hate speech

not hateful

Attention-grabbing headline

not detected

Known propaganda techniques

not detected

Time-value

long-living

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