Row 17041
Content Data
This page contains data entry 17041 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
You can look at the websites [https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-aiml-enabled-medical-devices](https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-aiml-enabled-medical-devices) or look through journals like [https://pubs.rsna.org/journal/ai](https://pubs.rsna.org/journal/ai) testing of commercial software AI medical devices.
It takes a lot of money and development but some startups and established companies seem to be making slow but steady progress.
Access to high-quality data and annotations are still a limiting factor for many applications.
| Field | Value |
|---|---|
| text | You can look at the websites [https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-aiml-enabled-medical-devices](https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-aiml-enabled-medical-devices) or look through journals like [https://pubs.rsna.org/journal/ai](https://pubs.rsna.org/journal/ai) testing of commercial software AI medical devices. It takes a lot of money and developmen… |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-20 |
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Raw Record
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"text": "You can look at the websites [https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-aiml-enabled-medical-devices](https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-aiml-enabled-medical-devices) or look through journals like [https://pubs.rsna.org/journal/ai](https://pubs.rsna.org/journal/ai) testing of commercial software AI medical devices. \n\nIt takes a lot of money and development but some startups and established companies seem to be making slow but steady progress. \n\nAccess to high-quality data and annotations are still a limiting factor for many applications.",
"label": "r/machinelearning",
"dataType": "comment",
"communityName": "r/MachineLearning",
"datetime": "2024-05-20",
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}
Entry Information
- Entry ID: 17041
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000