AIMC Topic: Medical Informatics
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The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies.
International journal of medical informatics
Jun 2, 2021
This editorial aims to contribute to the current debate about the quality of studies that apply machine learning (ML) methodologies to medical data to extract value from them and provide clinicians with viable and useful tools supporting everyday car...
Ensuring that biomedical AI benefits diverse populations.
EBioMedicine
May 4, 2021
Artificial Intelligence (AI) can potentially impact many aspects of human health, from basic research discovery to individual health assessment. It is critical that these advances in technology broadly benefit diverse populations from around the worl...
Continual learning in medical devices: FDA's action plan and beyond.
The Lancet. Digital health
Apr 28, 2021
Applying Contemporary Machine Learning Approaches to Nutrition Care Real-World Evidence: Findings From the National Quality Improvement Data Set.
Journal of the Academy of Nutrition and Dietetics
Apr 23, 2021
Using real-world data from the Academy of Nutrition and Dietetics Health Informatics Infrastructure, we use state-of-the-art clustering techniques to identify 2 phenotypes characterizing the episodes of nutrition care observed in the National Quality...
[G5 can't do without 5G].
Nederlands tijdschrift voor geneeskunde
Mar 19, 2021
In the Netherlands, 5 web-based systems co-exist in the public domain to provide relevant pharmacotherapeutic information for physicians, pharmacists and patients. Although these systems provide significant support to prescribers, still much can be i...
Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation.
Journal of biomedical informatics
Mar 9, 2021
BACKGROUND: Diagnostic or procedural coding of clinical notes aims to derive a coded summary of disease-related information about patients. Such coding is usually done manually in hospitals but could potentially be automated to improve the efficiency...
PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation.
Computational and mathematical methods in medicine
Mar 8, 2021
AIM: COVID-19 has caused large death tolls all over the world. Accurate diagnosis is of significant importance for early treatment.
Tuberculosis, Pulmonary
Databases, Factual
Software
Humans
Medical Informatics
COVID-19
Retrospective Studies
Stochastic Processes
Imaging, Three-Dimensional
Tomography, X-Ray Computed
Neural Networks, Computer
Radiography, Thoracic
Algorithms
Community-Acquired Infections
Pneumonia
Reproducibility of Results
Diagnosis, Computer-Assisted
Biomedical Vibrational Spectroscopy in the Era of Artificial Intelligence.
Molecules (Basel, Switzerland)
Mar 6, 2021
Biomedical vibrational spectroscopy has come of age. The past twenty years have brought many advancements and new developments and now its practitioners face a new challenge: artificial intelligence. Artificial intelligence has the capability to dete...
Value from health data: European opportunity to catalyse progress in digital health.
Lancet (London, England)
Feb 8, 2021
A Method for Generating Synthetic Electronic Medical Record Text.
IEEE/ACM transactions on computational biology and bioinformatics
Feb 3, 2021
Machine learning (ML) and Natural Language Processing (NLP) have achieved remarkable success in many fields and have brought new opportunities and high expectation in the analyses of medical data, of which the most common type is the massive free-tex...
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