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July 24, 2019
How Decentralized AI and Machine Learning Can Change Medicine
An expert system is an advanced computer system. It is used to perform tasks that otherwise will not be performed using only human intelligence. We are talking about tasks such as speech recognition, translations between languages, visual perception or decision-making, etc.
Artificial intelligence (AI) utilizes algorithms to carry out prediction-related tasks without configuration. Instead of being formerly specified, they gain information along the way.
AI has various levels which begin with:
- Supervised and unsupervised knowing
- Deep learning etc.
Both of these levels require huge data and creates functional and relatable information from the associations with accuracy and speed. This speed, when compared with human speed is much faster and free of errors.
How Does This Apply To Medicine?
There are projects like Neuron that develops products in Beta. These products allow users to train AI and use it in the best manner possible.
Ongoing Module with Computer Vision
The Selfie2BMI is a top-notch module that offers the physical stats of an individual with just a selfie. It uses optimization methods and Deep Neural Networks to predict a wide range of structural functions such as the height, weight, age, gender and BMI from just the selfie.
Blood Test Decoder
Another great initiative by Neuron, this will offer representatives who will boost one’s experience post-blood test. It will also take in any concern the user has about the blood test outcomes. The responses will be customized based on the individual’s age, gender, and any genetic conditions, etc.
Genomics Test Decoder
This will serve as a conversational representative to provide knowledge and counseling about hereditary concerns. It will request users to fill in some basic instructional questions and deliver responses.
Medicine Decoder
A trained module on prescription dosages, standards, expiration, and adverse effects can respond to customized needs.
What Does It Mean For The Medicine Industry?
Medical experiences will become more user-tailored and interactive. AI deals with numerous conditions, allowing the user the chance to take control of their health.
The Integral Burden
AI-powered solutions will make finding and gathering of medical information easier. Many patients don’t know how to access their medical history on computers. They don’t know where to begin from and thus, feel helpless when it comes to taking care of themselves. Their only hope remains general physicians and doctors who charge fees.
With AI taking charge, integration and collection of data will become stress-free both for the patient and the doctor. Moreover, AI can develop algorithms that can offer custom suggestions about diets, exercises, and prescriptions.
Unbiased and Organic Data
Blockchain allows a triple-entry accounting system enabling tracking and confirmation of data sources. This leads to terrific forecasting with auditing abilities to track the source of data and do information forensics and other procedures.
To ensure unbiased data, blockchain innovation allows the production of safe healthcare for its users. For instance, data received from randomized trials are often full of predisposition. The highly discriminating test nature methodically disfavors seniors, women and also patients with additional medical conditions.
Privacy Concerns
Many people feel hesitant about sharing their personal information online –because strangers are always lurking. Decentralized data will be time-stamped cryptographically making it immutable.
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