AIMC Topic: Terminology as Topic

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Brief Review and Primer of Key Terminology for Artificial Intelligence and Machine Learning in Hypertension.

Hypertension (Dallas, Tex. : 1979) Jul 16, 2024
Recent breakthroughs in artificial intelligence (AI) have caught the attention of many fields, including health care. The vision for AI is that a computer model can process information and provide output that is indistinguishable from that of a human...
Hypertension Natural Language Processing Artificial Intelligence Humans Machine Learning Neural Networks, Computer Terminology as Topic
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Why Terminology Standards Matter for Data-driven Artificial Intelligence in Healthcare.

Annals of laboratory medicine Jul 3, 2024
Artificial Intelligence Humans Delivery of Health Care Terminology as Topic
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Report of the HIMSS-SIIM Enterprise Imaging Community Data Standards Evaluation Workgroup: Anatomic Ontology Assessment.

Journal of imaging informatics in medicine Jun 10, 2024
Previously, the lack of a standard body part ontology has been identified as a critical deficiency needed to enable enterprise imaging. This whitepaper aims to provide a comprehensive assessment of anatomical ontologies with the aim of facilitating e...
Humans Systematized Nomenclature of Medicine Biological Ontologies Terminology as Topic Diagnostic Imaging Medical Informatics Anatomy
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Data set terminology of deep learning in medicine: a historical review and recommendation.

Japanese journal of radiology Jun 10, 2024
Medicine and deep learning-based artificial intelligence (AI) engineering represent two distinct fields each with decades of published history. The current rapid convergence of deep learning and medicine has led to significant advancements, yet it ha...
Artificial Intelligence Humans Deep Learning Terminology as Topic History, 20th Century
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Artificial intelligence and machine learning: Definition of terms and current concepts in critical care research.

Journal of critical care Mar 29, 2024
With increasing computing power, artificial intelligence (AI) and machine learning (ML) have prospered, which facilitate the analysis of large datasets, especially those found in critical care. It is important to define these terminologies, to inform...
Terminology as Topic Algorithms Critical Care Humans Artificial Intelligence Machine Learning
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Role play with large language models.

Nature Nov 8, 2023
As dialogue agents become increasingly human-like in their performance, we must develop effective ways to describe their behaviour in high-level terms without falling into the trap of anthropomorphism. Here we foreground the concept of role play. Cas...
Imitative Behavior Terminology as Topic Self-Assessment Humans Deception Natural Language Processing
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Future Platforms of Robotic Surgery.

The Urologic clinics of North America Oct 25, 2021
Among the various robotic devices that exist for urologic surgery, the most common are synergistic telemanipulator systems. Several have achieved clinical feasibility and have been licensed for use in humans: the standard da Vinci, Avatera, Hinotori,...
History, 21st Century Humans Terminology as Topic Laparoscopy Feedback Urologic Surgical Procedures History, 20th Century Robotic Surgical Procedures Robotics
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Automatically disambiguating medical acronyms with ontology-aware deep learning.

Nature communications Sep 7, 2021
Modern machine learning (ML) technologies have great promise for automating diverse clinical and research workflows; however, training them requires extensive hand-labelled datasets. Disambiguating abbreviations is important for automated clinical no...
Data Mining Datasets as Topic Terminology as Topic Biomedical Research Deep Learning Humans
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Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning.

IEEE transactions on neural networks and learning systems Aug 31, 2021
Medical imaging technologies, including computed tomography (CT) or chest X-Ray (CXR), are largely employed to facilitate the diagnosis of the COVID-19. Since manual report writing is usually too time-consuming, a more intelligent auxiliary medical s...
Algorithms Tomography, X-Ray Computed Machine Learning COVID-19 Transfer, Psychology Research Report Image Interpretation, Computer-Assisted Terminology as Topic Writing China Humans Artificial Intelligence
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A hierarchical deep learning based approach for multi-functional enzyme classification.

Protein science : a publication of the Protein Society Jun 28, 2021
Enzymes are critical proteins in every organism. They speed up essential chemical reactions, help fight diseases, and have a wide use in the pharmaceutical and manufacturing industries. Wet lab experiments to figure out an enzyme's function are time ...
Terminology as Topic Datasets as Topic Enzymes Biocatalysis Deep Learning Structure-Activity Relationship
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