AIMC Topic: Data Collection

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Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Dec 1, 2023
The development of artificial intelligence (AI) within nuclear imaging involves several ethically fraught components at different stages of the machine learning pipeline, including during data collection, model training and validation, and clinical u...
Humans Artificial Intelligence Molecular Imaging Advisory Committees Machine Learning Data Collection
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A Conference (Missingness in Action) to Address Missingness in Data and AI in Health Care: Qualitative Thematic Analysis.

Journal of medical Internet research Nov 23, 2023
BACKGROUND: Missingness in health care data poses significant challenges in the development and implementation of artificial intelligence (AI) and machine learning solutions. Identifying and addressing these challenges is critical to ensuring the con...
Data Collection Data Accuracy Humans Artificial Intelligence Machine Learning Algorithms
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Ethical Considerations of Using ChatGPT in Health Care.

Journal of medical Internet research Aug 11, 2023
ChatGPT has promising applications in health care, but potential ethical issues need to be addressed proactively to prevent harm. ChatGPT presents potential ethical challenges from legal, humanistic, algorithmic, and informational perspectives. Legal...
Artificial Intelligence Disclosure Humans Patient Compliance Data Collection Reproducibility of Results
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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...
Algorithms Consensus Artificial Intelligence Machine Learning Data Collection Humans
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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...
Data Collection Quality Improvement Artificial Intelligence Humans Consensus
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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...
Data Collection Linear Models Cluster Analysis Machine Learning Algorithms
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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...
Neural Networks, Computer Linear Models Meteorological Concepts Data Collection
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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...
Artificial Intelligence Software Natural Language Processing Records Data Collection
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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...
Natural Language Processing Female Computer Simulation Patient Care Planning Feasibility Studies Hospitalization Middle Aged Electronic Health Records Data Collection Humans Aged Deep Learning Clinical Trials as Topic Male
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