AIMC Topic: Data Science

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Advancing Clinical Information Systems: Harnessing Telemedicine, Data Science, and AI for Enhanced and More Precise Healthcare Delivery.

Yearbook of medical informatics Apr 8, 2025
OBJECTIVE: In this synopsis, the editors of the Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics overview recent research and propose a selection of best papers published in 2023 in the CIS field.
Electronic Health Records Data Science Medical Informatics Telemedicine Artificial Intelligence Delivery of Health Care Humans
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Artificial intelligence for modelling infectious disease epidemics.

Nature Feb 19, 2025
Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and related technologies, which are already supporting human decision making in economics, medicine and social sci...
Humans Artificial Intelligence Data Science Epidemics Epidemiological Models Machine Learning Communicable Diseases
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Health Care Professionals and Data Scientists' Perspectives on a Machine Learning System to Anticipate and Manage the Risk of Decompensation From Patients With Heart Failure: Qualitative Interview Study.

Journal of medical Internet research Jan 20, 2025
BACKGROUND: Heart failure (HF) is a significant global health problem, affecting approximately 64.34 million people worldwide. The worsening of HF, also known as HF decompensation, is a major factor behind hospitalizations, contributing to substantia...
Humans Female Adult Male Machine Learning Health Personnel Heart Failure Portugal Interviews as Topic Data Science Middle Aged Qualitative Research
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Challenges of reproducible AI in biomedical data science.

BMC medical genomics Jan 10, 2025
Artificial intelligence (AI) is revolutionizing biomedical data science at an unprecedented pace, transforming various aspects of the field with remarkable speed and depth. However, a critical issue remains unclear: how reproducible are the AI models...
Biomedical Research Data Science Artificial Intelligence Reproducibility of Results Humans
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Data science and automation in the process of theorizing: Machine learning's power of induction in the co-duction cycle.

PloS one Nov 4, 2024
Recent calls to take up data science either revolve around the superior predictive performance associated with machine learning or the potential of data science techniques for exploratory data analysis. Many believe that these strengths come at the c...
Data Science Automation Humans Machine Learning Models, Theoretical
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Selection of data analytic techniques by using fuzzy AHP TOPSIS from a healthcare perspective.

BMC medical informatics and decision making Sep 2, 2024
The healthcare industry has been put to test the need to manage enormous amounts of data provided by various sources, which are renowned for providing enormous quantities of heterogeneous information. The data are collected and analyzed with differen...
Fuzzy Logic Delivery of Health Care Data Science Humans
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Biomedical Data Science, Artificial Intelligence, and Ethics: Navigating Challenges in the Face of Explosive Growth.

Annual review of biomedical data science Jul 24, 2024
Advances in biomedical data science and artificial intelligence (AI) are profoundly changing the landscape of healthcare. This article reviews the ethical issues that arise with the development of AI technologies, including threats to privacy, data s...
Computer Security Artificial Intelligence Biomedical Research Confidentiality Privacy Humans Data Science
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Human-AI Teaming in Critical Care: A Comparative Analysis of Data Scientists' and Clinicians' Perspectives on AI Augmentation and Automation.

Journal of medical Internet research Jul 22, 2024
BACKGROUND: Artificial intelligence (AI) holds immense potential for enhancing clinical and administrative health care tasks. However, slow adoption and implementation challenges highlight the need to consider how humans can effectively collaborate w...
Automation Humans Delphi Technique Female Critical Care Artificial Intelligence Male Intensive Care Units Data Science
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A data science roadmap for open science organizations engaged in early-stage drug discovery.

Nature communications Jul 5, 2024
The Structural Genomics Consortium is an international open science research organization with a focus on accelerating early-stage drug discovery, namely hit discovery and optimization. We, as many others, believe that artificial intelligence (AI) is...
Artificial Intelligence Machine Learning Drug Discovery Data Science Databases, Factual Cloud Computing Data Mining Humans Information Dissemination
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The role of artificial intelligence and data science in nanoparticles development: a review.

Nanomedicine (London, England) Jun 21, 2024
Artificial intelligence has revolutionized many sectors with unparalleled predictive capabilities supported by machine learning (ML). So far, this tool has not been able to provide the same level of development in pharmaceutical nanotechnology. This ...
Nanotechnology Nanoparticles Polymers Humans Machine Learning Data Science Artificial Intelligence
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