AIMC Topic: Data Collection

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Multidisciplinary considerations of fairness in medical AI: A scoping review.

International journal of medical informatics Aug 8, 2023
INTRODUCTION: Artificial Intelligence (AI) technology has been developed significantly in recent years. The fairness of medical AI is of great concern due to its direct relation to human life and health. This review aims to analyze the existing resea...
Humans Artificial Intelligence Consensus Data Collection Machine Learning Algorithms
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SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education).

Surgical endoscopy Jul 29, 2023
BACKGROUND: Surgery generates a vast amount of data from each procedure. Particularly video data provides significant value for surgical research, clinical outcome assessment, quality control, and education. The data lifecycle is influenced by variou...
Consensus Data Collection Humans Artificial Intelligence Quality Improvement
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Active learning for prediction of tensile properties for material extrusion additive manufacturing.

Scientific reports Jul 15, 2023
Machine learning techniques were used to predict tensile properties of material extrusion-based additively manufactured parts made with Technomelt PA 6910, a hot melt adhesive. An adaptive data generation technique, specifically an active learning pr...
Machine Learning Algorithms Cluster Analysis Linear Models Data Collection
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Data-Driven Insights through Industrial Retrofitting: An Anonymized Dataset with Machine Learning Use Cases.

Sensors (Basel, Switzerland) Jul 1, 2023
Small and medium-sized enterprises (SMEs) often encounter practical challenges and limitations when extracting valuable insights from the data of retrofitted or brownfield equipment. The existing literature fails to reflect the full reality and poten...
Machine Learning Data Collection Industry
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ELoran Propagation Delay Prediction Model Based on a BP Neural Network for a Complex Meteorological Environment.

Sensors (Basel, Switzerland) May 29, 2023
The core of eLoran ground-based timing navigation systems is the accurate measurement of groundwave propagation delay. However, meteorological changes will disturb the conductive characteristic factors along the groundwave propagation path, especiall...
Data Collection Linear Models Meteorological Concepts Neural Networks, Computer
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Use and Design of Chatbots for the Circular Economy.

Sensors (Basel, Switzerland) May 23, 2023
The fact that advanced technologies and their economic applications have generated increasing resource costs justifies the transition from a linear approach to a circular one in order to control these costs. From this perspective, this study presents...
Data Collection Records Software Natural Language Processing Artificial Intelligence
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Assessment of Natural Language Processing of Electronic Health Records to Measure Goals-of-Care Discussions as a Clinical Trial Outcome.

JAMA network open Mar 1, 2023
IMPORTANCE: Many clinical trial outcomes are documented in free-text electronic health records (EHRs), making manual data collection costly and infeasible at scale. Natural language processing (NLP) is a promising approach for measuring such outcomes...
Patient Care Planning Clinical Trials as Topic Humans Computer Simulation Electronic Health Records Female Deep Learning Natural Language Processing Feasibility Studies Data Collection Male Middle Aged Hospitalization Aged
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Explainable AI for unveiling deep learning pollen classification model based on fusion of scattered light patterns and fluorescence spectroscopy.

Scientific reports Feb 24, 2023
Pollen monitoring have become data-intensive in recent years as real-time detectors are deployed to classify airborne pollen grains. Machine learning models with a focus on deep learning, have an essential role in the pollen classification task. With...
Data Collection Pollen Artificial Intelligence Spectrometry, Fluorescence Deep Learning
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Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis.

Neural networks : the official journal of the International Neural Network Society Feb 21, 2023
Intelligent fault diagnosis aims to build robust mechanical condition recognition models with limited dataset. At this stage, fault diagnosis faces two practical challenges: (1) the variability of mechanical working conditions makes the collected dat...
Recognition, Psychology Intelligence Working Conditions Deep Learning Data Collection
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The Impact of Robotic-Assisted Total Knee Arthroplasty on Resident Training.

The Journal of arthroplasty Feb 11, 2023
BACKGROUND: As robotic-assisted total knee replacement (rTKA) continues to gain popularity, the impact of this technology on resident education remains unknown. The purpose of this study was to describe trainee experience and perceptions of rTKA and ...
Robotic Surgical Procedures Arthroplasty, Replacement, Knee Orthopedics Data Collection Knee Joint Humans Robotics
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