AIMC Topic: Big Data

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Machine learning in cardiovascular medicine: are we there yet?

Heart (British Cardiac Society) Jan 19, 2018
Artificial intelligence (AI) broadly refers to analytical algorithms that iteratively learn from data, allowing computers to find hidden insights without being explicitly programmed where to look. These include a family of operations encompassing sev...
Datasets as Topic Clinical Trials as Topic Cardiology Causality Diagnostic Imaging Registries Genomics Genetic Predisposition to Disease Machine Learning Phenotype Big Data Humans
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Birth of Industry 5.0: Making Sense of Big Data with Artificial Intelligence, "The Internet of Things" and Next-Generation Technology Policy.

Omics : a journal of integrative biology Jan 2, 2018
Driverless cars with artificial intelligence (AI) and automated supermarkets run by collaborative robots (cobots) working without human supervision have sparked off new debates: what will be the impacts of extreme automation, turbocharged by the Inte...
Humans Artificial Intelligence Internet Technology Big Data
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What's new in ICU in 2050: big data and machine learning.

Intensive care medicine Dec 26, 2017
Forecasting Humans Critical Care Precision Medicine Machine Learning Big Data
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Big Data in Public Health: Terminology, Machine Learning, and Privacy.

Annual review of public health Dec 20, 2017
The digital world is generating data at a staggering and still increasing rate. While these "big data" have unlocked novel opportunities to understand public health, they hold still greater potential for research and practice. This review explores se...
Big Data Research Humans Confidentiality Population Surveillance Causality Machine Learning Terminology as Topic Public Health
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Digitizing audiograms with deep learning: structured data extraction and pseudonymization for hearing big data.

Hearing research Aug 1, 2025
PURPOSE: hearing loss relies on pure-tone audiometry (PTA); however, audiograms are often stored as unstructured images, limiting their integration into electronic medical records (EMRs) and common data models (CDMs). This study developed a deep lear...
Deep Learning Hearing Loss Big Data Auditory Threshold Humans Neural Networks, Computer Audiometry, Pure-Tone Predictive Value of Tests Electronic Health Records Hearing
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Big data approaches for novel mechanistic insights on sleep and circadian rhythms: a workshop summary.

Sleep Jun 13, 2025
The National Center on Sleep Disorders Research of the National Heart, Lung, and Blood Institute at the National Institutes of Health hosted a 2-day virtual workshop titled Big Data Approaches for Novel Mechanistic Insights on Disorders of Sleep and ...
Humans Artificial Intelligence Machine Learning Circadian Rhythm Sleep Sleep Wake Disorders Big Data United States
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Predicting Protein Function in the AI and Big Data Era.

Biochemistry Jun 3, 2025
It is an exciting time for researchers working to link proteins to their functions. Most techniques for extracting functional information from genomic sequences were developed several years ago, with major progress driven by the availability of big d...
Deep Learning Humans Proteins Computational Biology Artificial Intelligence Databases, Protein Big Data
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Developmental toxicity: artificial intelligence-powered assessments.

Trends in pharmacological sciences Jun 1, 2025
Regulatory agencies require comprehensive toxicity testing for prenatal drug exposure, including new drugs in development, to reduce concerns about developmental toxicity, that is, drug-induced toxicity and adverse effects in pregnant women and fetus...
Animals Big Data Drug-Related Side Effects and Adverse Reactions Pregnancy Female Toxicity Tests Humans Artificial Intelligence
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Accelerating autism spectrum disorder care: A rapid review of data science applications in diagnosis and intervention.

Asian journal of psychiatry Jun 1, 2025
Integrating data science techniques, including machine learning, natural language processing, and big data analytics, has revolutionized the diagnosis and intervention landscape for Autism Spectrum Disorder (ASD). This rapid review examines these app...
Machine Learning Autism Spectrum Disorder Big Data Humans Data Science Natural Language Processing
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Barriers and Facilitators for Federated Health Data Networks: Lessons Learned from a Nordic-Baltic Experience.

Studies in health technology and informatics May 15, 2025
The era of artificial intelligence (AI) and big data presents significant opportunities for implementing federated health data networks across national borders. However, these opportunities are accompanied by substantial challenges. This study docume...
Computer Security International Cooperation Scandinavian and Nordic Countries Electronic Health Records Big Data Humans Artificial Intelligence
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