AIMC Topic: Data Collection

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Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies.

The Lancet. Digital health Mar 1, 2023
Integration of patient-reported outcome measures (PROMs) in artificial intelligence (AI) studies is a critical part of the humanisation of AI for health. It allows AI technologies to incorporate patients' own views of their symptoms and predict outco...
Humans Artificial Intelligence Data Collection Patient Reported Outcome Measures Delivery of Health Care Heart
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Artificial Intelligence: its Future and Impact on Acute Medicine.

Acute medicine Jan 1, 2023
This commentary explores the potential impact of artificial intelligence (AI) in acute medicine, considering its possibilities and challenges. With its ability to simulate human intelligence, AI holds the promise for supporting timely decision-making...
Critical Care Artificial Intelligence Clinical Decision-Making Humans Physician-Patient Relations Data Collection
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An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction.

Journal of the American Medical Informatics Association : JAMIA Dec 13, 2022
OBJECTIVE: Distributed learning avoids problems associated with central data collection by training models locally at each site. This can be achieved by federated learning (FL) aggregating multiple models that were trained in parallel or training a s...
Humans Hospitals Child Machine Learning Brain Data Collection Sample Size
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Cautious Artificial Intelligence Improves Outcomes and Trust by Flagging Outlier Cases.

JCO clinical cancer informatics Oct 1, 2022
PURPOSE: Artificial intelligence (AI) models for medical image diagnosis are often trained and validated on curated data. However, in a clinical setting, images that are outliers with respect to the training data, such as those representing rare dise...
Data Collection ROC Curve Humans Artificial Intelligence Trust
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A scoping review of publicly available language tasks in clinical natural language processing.

Journal of the American Medical Informatics Association : JAMIA Sep 12, 2022
OBJECTIVE: To provide a scoping review of papers on clinical natural language processing (NLP) shared tasks that use publicly available electronic health record data from a cohort of patients.
Information Storage and Retrieval Natural Language Processing Data Collection Data Management Humans Electronic Health Records
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STNN-DDI: a Substructure-aware Tensor Neural Network to predict Drug-Drug Interactions.

Briefings in bioinformatics Jul 18, 2022
Computational prediction of multiple-type drug-drug interaction (DDI) helps reduce unexpected side effects in poly-drug treatments. Although existing computational approaches achieve inspiring results, they ignore to study which local structures of d...
Humans Drug-Related Side Effects and Adverse Reactions Data Collection Software Drug Interactions Neural Networks, Computer
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Performance Evaluation of Embedded Image Classification Models Using Edge Impulse for Application on Medical Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
This work explores the possibility of applying edge machine learning technology in the context of portable medical image diagnostic systems. This was done by evaluating the performance of two machine learning (ML) algorithms, that are widely used on ...
Machine Learning Neural Networks, Computer Software Data Collection Algorithms
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A Time-Series Augmentation Method Based on Empirical Mode Decomposition and Integrated LSTM Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Adequate patients' data have always been critical for disease assessment. However, large amounts of patient data are often difficult to collect, especially when patients are required to complete a series of assessment movements. For example, assessin...
Data Collection Neural Networks, Computer Time Factors Humans
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Data-driven reduced-order modeling of spatiotemporal chaos with neural ordinary differential equations.

Chaos (Woodbury, N.Y.) Jul 1, 2022
Dissipative partial differential equations that exhibit chaotic dynamics tend to evolve to attractors that exist on finite-dimensional manifolds. We present a data-driven reduced-order modeling method that capitalizes on this fact by finding a coordi...
Data Collection Nonlinear Dynamics Artifacts Neural Networks, Computer Time Factors
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Towards an Adaptive Clinical Transcription System for In-Situ Transcribing of Patient Encounter Information.

Studies in health technology and informatics Jun 6, 2022
Electronic patient charts are essential for follow-up and multi-disciplinary care, but either take up an exorbitant amount of time during the patient encounter using a key-stroke entry system, or suffer from poor recall when made long after the encou...
Natural Language Processing Data Collection Language Workflow Speech Humans
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