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Mashup Score: 1Accelerating AI innovation in pediatric medicine - AIMed - 3 year(s) ago
The fundamental challenge to building equitable AI software is the lack of access to large and diverse datasets.
Source: AIMedCategories: Future of Medicine, Latest HeadlinesTweet
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Mashup Score: 21
With the advent of administrative databases and patient registries, big data is increasingly accessible to researchers. The large sample size of these data sets make the study of rare outcomes easier and provide the potential to determine national estimates and regional variations. As such, the JAMA…
Source: jamanetwork.comCategories: Latest Headlines, SurgeryTweet
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Mashup Score: 4A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability - 4 year(s) ago
Health data that are publicly available are valuable resources for digital health research. Several public datasets containing ophthalmological imaging have been frequently used in machine learning research; however, the total number of datasets containing ophthalmological health information and their respective content is unclear. This Review aimed to identify all publicly available…
Source: The Lancet Digital HealthCategories: Future of Medicine, Latest HeadlinesTweet
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Mashup Score: 0Key trends in surgical AI - 4 year(s) ago
Abstract Data science holds the potential to increase the efficiency and effectiveness of surgical workflow, as well as improving patient outcomes in the operating room. Artificial intelligence is already informing risk prediction and decision support, increasingly drawing on live data from electronic health records and monitors. Coupled with developments in robotics and automation, this is an
Source: AIMedCategories: Future of Medicine, Latest HeadlinesTweet-
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Mashup Score: 0Big Datasets in Antibiotic Allergy: What's the Story? - 4 year(s) ago
“Data are just summaries of thousands of stories.”– Chip & Dan Heath, Authors
Categories: Allergy-ImmunologyTweet
Accelerating AI innovation in #pediatric #medicine The fundamental challenge to building equitable #AI software is the lack of access to large and diverse #datasets. Read the full article here: https://t.co/DclaZTk69H