AIMC Topic: Reinforcement Machine Learning

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A Deep Reinforcement Learning Based Region-Specific Beamformer for Sparse Arrays 3-D Ultrasound Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Jun 1, 2025
Sparse arrays offer several advantages over other element reduction techniques for 3-D ultrasound imaging. However, the large interelement spacing in these arrays results in high sidelobe-related artifacts, which significantly degrade image quality a...
Humans Algorithms Deep Learning Ultrasonography Imaging, Three-Dimensional Artifacts Phantoms, Imaging Reinforcement Machine Learning
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Optimal Vasopressin Initiation in Septic Shock: The OVISS Reinforcement Learning Study.

JAMA May 20, 2025
IMPORTANCE: Norepinephrine is the first-line vasopressor for patients with septic shock. When and whether a second agent, such as vasopressin, should be added is unknown.
Humans Critical Illness Electronic Health Records Clinical Decision-Making Female Aged Male Middle Aged Hospital Mortality Shock, Septic Observational Studies as Topic Norepinephrine Vasoconstrictor Agents Datasets as Topic Practice Guidelines as Topic Organ Dysfunction Scores Vasopressins Reinforcement Machine Learning
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Enhanced intelligent train operation algorithms for metro train based on expert system and deep reinforcement learning.

PloS one Jan 1, 2025
In recent decades, automatic train operation (ATO) systems have been gradually adopted by many metro systems, primarily due to their cost-effectiveness and practicality. However, a critical examination reveals computational constraints, adaptability ...
Humans Algorithms Deep Learning Expert Systems Reinforcement, Psychology Reinforcement Machine Learning Railroads
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Better Blood Pressure Control for Stroke Patients in the ICU: A Deep Reinforcement Learning with Supervised Guidance Approach for Adaptive Infusion Rate Tuning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Blood pressure variability (BPV) plays a critical role in vascular diseases, particularly in acute ischemic stroke patients in intensive care units (ICUs), where higher BPV correlates with increased mortality rates. Current interventions lack effecti...
Humans Intensive Care Units Deep Learning Hypertension Infusions, Intravenous Blood Pressure Antihypertensive Agents Stroke Reinforcement Machine Learning Nicardipine
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