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  2. Artificial intelligence in healthcare - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    Artificial intelligence utilises massive amounts of data to help with predicting illness, prevention, and diagnosis, as well as patient monitoring. In obstetrics, artificial intelligence is utilized in magnetic resonance imaging, ultrasound, and foetal cardiotocography. AI contributes in the resolution of a variety of obstetrical diagnostic issues.

  3. Share These 100 Uplifting Nurse Quotes To Show ... - AOL

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  4. Health informatics - Wikipedia

    en.wikipedia.org/wiki/Health_informatics

    This field deals with utilization of machine-learning algorithms and artificial intelligence, to emulate human cognition in the analysis, interpretation, and comprehension of complicated medical and healthcare data. Specifically, AI is the ability of computer algorithms to approximate conclusions based solely on input data. AI programs are ...

  5. Augmented Analytics - Wikipedia

    en.wikipedia.org/wiki/Augmented_Analytics

    Augmented Analytics is an approach of data analytics that employs the use of machine learning and natural language processing to automate analysis processes normally done by a specialist or data scientist. [1] The term was introduced in 2017 by Rita Sallam, Cindi Howson, and Carlie Idoine in a Gartner research paper. [1] [2]

  6. Clinical decision support system - Wikipedia

    en.wikipedia.org/wiki/Clinical_decision_support...

    2. **Patient Data Interface**: Integrates with electronic health records (EHR) systems to access patient demographics, medical history, test results, and current medications. 3. **Inference Engine**: Analyzes patient data and applies clinical rules to generate suggestions or alerts based on predefined algorithms. 4.

  7. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.

  8. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    Predictive analytics can help underwrite these quantities by predicting the chances of illness, default, bankruptcy, etc. Predictive analytics can streamline the process of customer acquisition by predicting the future risk behavior of a customer using application level data. Predictive analytics in the form of credit scores have reduced the ...

  9. Wyoming reporter caught using artificial intelligence to ...

    www.aol.com/news/wyoming-reporter-caught-using...

    The dead giveaway, though, that a reporter from a competing news outlet was using generative artificial intelligence to help write his stories came in a June 26 article about the comedian Larry ...