Aikang's 'AI Health Butler” official announcement event
Aikang’s “AI Health Butler” Official Announcement Event
Can’t find a “healthy partner”? It doesn't matter, your IKKIE will take action!
Writing poetry, painting, singing and dancing, running live broadcasts... You can't think of it, but it can't be done without it. At present, AI is constantly participating in human life through various identities and roles, and continues to subvert capture human imagination. When artificial intelligence meets medical health, Xiaoai is here to "take action" for everyone's health management! IKKIE, the first "AI health butler" under the iKang Group, is about to land and show everyone a little bit of a different "hard life" with technology.
IKKIE A "cloud" with a story
In 2018, iKang launched the “iKang AI” program to provide AI enhancements for traditional physical examinations and health management. Beginning in 2021, Aikang's "Medical Cloud", which has gathered nearly 60 million physical examination big data, will bloom in the cloud. Relying on the "physical examination cloud, imaging cloud, ECG cloud, and inspection cloud", it will cover everything before, during, and after the examination. Throughout the entire process, users are provided with a new experience that is real-time, intelligent, accurate and connected.
Now, IKKIE, who has been given the mission of "AI Health Butler", will become the AIKANG AI ambassador and "go to work", kicking off a new beginning for the 19-year-old AIKANG in its second decade.
IKKIE like this, are you "AI"?
The inspiration for IKKIE’s name comes from the English name of iKang. In order to break into the AI digital image circle where appearance is justice, IKKIE was designed as a 3D "cloud" that can change various expressions in different conversation scenarios. As an AI health digital human image that has just debuted, IKKIE's functions are already very mature. Every X-ray, lung CT, fundus photo... is controlled by the user behind the scenes. , it also has coverage behind it. Fundus, lungs, heart, cerebral blood vessels, breast. "Digital doctors" protect teeth, bones, etc. Realize precise and dynamic health management, draw health portraits and predict health trends for thousands of people. Prescribe health prescriptions and foresee a healthy future. Do you also want to see its performance as soon as possible?
IKKIE Future Night, watch IKKIE’s debut!
2023 Aikang AI Future Night is coming soon, a medical sharing event with ideas, laughter, and knowledge points, which will refresh everyone’s new understanding of AI medical examinations. IKKIE will also join the scene for the first time. Show off the whole job. Watch how it exchanges complaints with celebrities and big names and stage famous scenes of medical technology. High energy continues, viewers can scan the code to make an appointment to watch the live broadcast.
June 14th BRTV Beijing Satellite TV
The above is the detailed content of Aikang's 'AI Health Butler” official announcement event. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Pandas is a powerful data analysis tool that can easily read and process various types of data files. Among them, CSV files are one of the most common and commonly used data file formats. This article will introduce how to use Pandas to read CSV files and perform data analysis, and provide specific code examples. 1. Import the necessary libraries First, we need to import the Pandas library and other related libraries that may be needed, as shown below: importpandasaspd 2. Read the CSV file using Pan

Common data analysis methods: 1. Comparative analysis method; 2. Structural analysis method; 3. Cross analysis method; 4. Trend analysis method; 5. Cause and effect analysis method; 6. Association analysis method; 7. Cluster analysis method; 8 , Principal component analysis method; 9. Scatter analysis method; 10. Matrix analysis method. Detailed introduction: 1. Comparative analysis method: Comparative analysis of two or more data to find the differences and patterns; 2. Structural analysis method: A method of comparative analysis between each part of the whole and the whole. ; 3. Cross analysis method, etc.

How to use React and Google BigQuery to build fast data analysis applications Introduction: In today's era of information explosion, data analysis has become an indispensable link in various industries. Among them, building fast and efficient data analysis applications has become the goal pursued by many companies and individuals. This article will introduce how to use React and Google BigQuery to build a fast data analysis application, and provide detailed code examples. 1. Overview React is a tool for building

Following the last inventory of "11 Basic Charts Data Scientists Use 95% of the Time", today we will bring you 11 basic distributions that data scientists use 95% of the time. Mastering these distributions helps us understand the nature of the data more deeply and make more accurate inferences and predictions during data analysis and decision-making. 1. Normal Distribution Normal Distribution, also known as Gaussian Distribution, is a continuous probability distribution. It has a symmetrical bell-shaped curve with the mean (μ) as the center and the standard deviation (σ) as the width. The normal distribution has important application value in many fields such as statistics, probability theory, and engineering.

In today's intelligent society, machine learning and data analysis are indispensable tools that can help people better understand and utilize large amounts of data. In these fields, Go language has also become a programming language that has attracted much attention. Its speed and efficiency make it the choice of many programmers. This article introduces how to use Go language for machine learning and data analysis. 1. The ecosystem of machine learning Go language is not as rich as Python and R. However, as more and more people start to use it, some machine learning libraries and frameworks

Visualization is a powerful tool for communicating complex data patterns and relationships in an intuitive and understandable way. They play a vital role in data analysis, providing insights that are often difficult to discern from raw data or traditional numerical representations. Visualization is crucial for understanding complex data patterns and relationships, and we will introduce the 11 most important and must-know charts that help reveal the information in the data and make complex data more understandable and meaningful. 1. KSPlotKSPlot is used to evaluate distribution differences. The core idea is to measure the maximum distance between the cumulative distribution functions (CDF) of two distributions. The smaller the maximum distance, the more likely they belong to the same distribution. Therefore, it is mainly interpreted as a "system" for determining distribution differences.

How to use ECharts and PHP interfaces to implement data analysis and prediction of statistical charts. Data analysis and prediction play an important role in various fields. They can help us understand the trends and patterns of data and provide references for future decisions. ECharts is an open source data visualization library that provides rich and flexible chart components that can dynamically load and process data by using the PHP interface. This article will introduce the implementation method of statistical chart data analysis and prediction based on ECharts and php interface, and provide

Recommended: 1. Business Data Analysis Forum; 2. National People’s Congress Economic Forum - Econometrics and Statistics Area; 3. China Statistics Forum; 4. Data Mining Learning and Exchange Forum; 5. Data Analysis Forum; 6. Website Data Analysis; 7. Data analysis; 8. Data Mining Research Institute; 9. S-PLUS, R Statistics Forum.
