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What is AI
-Artificial Intelligence are computer systems capable of performing human tasks
-In order to perform these tasks, these systems use machine learning algorithms.
-Because of machine learning, AI is able to improve itself without the input of a human
-In essence, AI uses deep learning algorithms to analyze data and respond to it
-Deep learning replicates neural networks by processing large amounts of data and then making predictions and decisions based on the data
Similarities:
Both learn from experience, both capable of pattern recognition, both capable of decision making, both operate using neural networks
Differences:
AI is programmed while the brain is Tabula Rasa, the brain is more flexible (it can learn tasks that it was not originally capable of), the brain is currently also more energy effiecient
Both the Brain and Artificial Intelligence operate through Neural Networks
-Early Detection of Mental Illness
-Personalized Treatment Plans
-Virtual Therapy
(Still a long way to go)
Currently, AI implementation in the medical field is somewhat limited by its capabilities, but some uses include:
-automating tasks, supporting clinicians, and help us deepen our understanding of complex disorders
There are still challenges, however, these include:
Limitations to knowledge of depression, schizophrenia, and "other psychotic disorders"
(This means that we really haven't cracked the surface)
Early Detection of Mental Illness, Personalized Treatment Plans, Virtual Therapy are a few already mentioned applications
Some others include:
Predictive analysis and providing real time feedback on patient data to help formulate a diagnoses
It should be noted that this is still a long ways away and may be hindered due to ethical concerns
BrAIn was my original idea for this project, but I had to scrap it due to it being too ambitious of a project for my level of coding and timeframe
Pronounced Brain-AI, my idea for this project was to create a rudimentary chatbot that could be used in the mental healthcare field as a supplement for practioners and their clients
BrAIn would work similarly to a diagnostic survey given before going into a doctor's appointment
The premise was that it would ask the clients leading questions and be able to provide the practioner with a summary of the client's state of mind
There was also going to be a feature in which the client could talk to the bot and it would be able to provide coping mechanisms and proper mental health resources
BrAIn was going to be based on the python NLTK model and be open source
In conclusion, what started off as a foray into artificial intelligence in the mental health field turned into an exploration of the cross-section between AI and its potential implications on mental health. I found that there are many...