AIMC Topic: Data Science

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Unassisted Clinicians Versus Deep Learning-Assisted Clinicians in Image-Based Cancer Diagnostics: Systematic Review With Meta-analysis.

Journal of medical Internet research Mar 2, 2023
BACKGROUND: A number of publications have demonstrated that deep learning (DL) algorithms matched or outperformed clinicians in image-based cancer diagnostics, but these algorithms are frequently considered as opponents rather than partners. Despite ...
Humans Deep Learning Data Science Algorithms Neoplasms
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Evaluation of AIML + HDR-A Course to Enhance Data Science Workforce Capacity for Hispanic Biomedical Researchers.

International journal of environmental research and public health Feb 3, 2023
Artificial intelligence (AI) and machine learning (ML) facilitate the creation of revolutionary medical techniques. Unfortunately, biases in current AI and ML approaches are perpetuating minority health inequity. One of the strategies to solve this p...
Workforce Data Science Hispanic or Latino Humans Artificial Intelligence Machine Learning Biomedical Research
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The Dresden Surgical Anatomy Dataset for Abdominal Organ Segmentation in Surgical Data Science.

Scientific data Jan 12, 2023
Laparoscopy is an imaging technique that enables minimally-invasive procedures in various medical disciplines including abdominal surgery, gynaecology and urology. To date, publicly available laparoscopic image datasets are mostly limited to general ...
Algorithms Tomography, X-Ray Computed Artificial Intelligence Data Science Abdomen Germany
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Doctors in Medical Data Sciences: A New Curriculum.

International journal of environmental research and public health Dec 30, 2022
Machine Learning (ML), a branch of Artificial Intelligence, which is competing with human experts in many specialized biomedical fields and will play an increasing role in precision medicine. As with any other technological advances in medicine, the ...
Technology Data Science Artificial Intelligence Machine Learning Curriculum Humans
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Developing an Improved Ensemble Learning Approach for Predictive Maintenance in the Textile Manufacturing Process.

Sensors (Basel, Switzerland) Nov 22, 2022
With the rapid development of digital transformation, paper forms are digitalized as electronic forms (e-Forms). Existing data can be applied in predictive maintenance (PdM) for the enabling of intelligentization and automation manufacturing. This st...
Data Science Automation Cloud Computing Machine Learning Algorithms
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Artificial Intelligence and Big Data Science in Neurocritical Care.

Critical care clinics Oct 9, 2022
In recent years, the volume of digitalized web-based information utilizing modern computer-based technology for data storage, processing, and analysis has grown rapidly. Humans can process a limited number of variables at any given time. Thus, the de...
Data Science Neural Networks, Computer Humans Artificial Intelligence Machine Learning Big Data
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IOT-Based Medical Informatics Farming System with Predictive Data Analytics Using Supervised Machine Learning Algorithms.

Computational and mathematical methods in medicine Aug 30, 2022
In the farming industry, the Internet of Things (IoT) is crucial for boosting utility. Innovative agriculture practices and medical informatics have the potential to increase crop yield while using the same amount of input. Individuals can benefit fr...
Farms Machine Learning Humans Algorithms Support Vector Machine Data Science Medical Informatics
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Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery.

Chemical reviews Jul 21, 2022
Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels, reducing the impact of global warming, and providing solutions to environmental pollution. Improved processes for catalyst design and a better understanding ...
Artificial Intelligence Catalysis Machine Learning Data Science
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Building Process-Oriented Data Science Solutions for Real-World Healthcare.

International journal of environmental research and public health Jul 10, 2022
The COVID-19 pandemic has highlighted some of the opportunities, problems and barriers facing the application of Artificial Intelligence to the medical domain. It is becoming increasingly important to determine how Artificial Intelligence will help h...
COVID-19 Delivery of Health Care Data Science Artificial Intelligence Pandemics Humans
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Best Practices on Big Data Analytics to Address Sex-Specific Biases in Our Understanding of the Etiology, Diagnosis, and Prognosis of Diseases.

Annual review of biomedical data science May 13, 2022
A bias in health research to favor understanding diseases as they present in men can have a grave impact on the health of women. This paper reports on a conceptual review of the literature on machine learning or natural language processing (NLP) tech...
Machine Learning Data Science Female Natural Language Processing Humans Male Artificial Intelligence Big Data
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