User:Microbiomeman/sandbox

Draft 1

Artificial intelligence in healthcare Artificial intelligence in healthcare

Main goals:
 * 1) Updating - the citations, companies, better getting where the field is at
 * 2) Adding more technical ideas to the page
 * 3) Adding more ethical implications to the use of AI
 * 4) Better getting a sense what AI specifically is, as opposed to what currently is being done
 * 5) Underlining the future of AI
 * 6) Linking adjacent wiki pages
 * 7) Edit and build upon Moonshot project
 * 8) Efficacy vs
 * 9) How to best separate the current research
 * 10) Add citations for radiology
 * 11) Add to history -- ML in the context of healthcare
 * , treatment protocol development, drug development, personalized medicine,and patient monitoring and care.

Library northeastern

Numerous tech companies are joinin with hospitals

Eliza see also

Telemedicine

Remove clinican interaction

Telemedicine artificial intelligence

Differences between the pages:

Diagnosis (artificial intelligence)

Computer-aided diagnosis

How to add images? NEED TO ADD IMAGES!

Start:

AI specifically is the ability for computer algorithms to make conclusions without human input. AI system specifically lies within letting an algorithm deduce it's own conclusion from a non-static algorithm.

Also known as Artificial Intelligence in Medicine (AIM)

Machine Learning
SHOULD I KEEP THIS?

Deep Learning The ability to allow for a dynamic model is from the use of [deep Learning] The implications of using deep Learning allows for the machine to classify data. Giving the ability to give algorithms the decision to determine data, is specifically artificial intelligence

Using large amount of data, the incorporation of the technique of Deep Leaning is specifically AI. making conclusion Are we sure are the right conclusion

[HERE I WILL ADD A LOT MORE INFO -- PLANNING ON SPENDING A LOT MORE TIME ON]

Current Research
Various specialties in medicine have showed an increase in the research regarding AI. However the field that has gained recent attention is the field of Radiology.

Radiology
Such an ability to interpret imaging results may allow clinicians to be aided to detect a change in an image that, are minuet in detail, or something that a clinician may miss. Such a study that has incorporated AI in Radiology problem is a study by Stanford which has results presenting that the algorithm that they created can detect Pneumonia better then radiologists. The radiology conference Radiological Society of North America has implemented a large part of its schedule to the use of AI in imaging.

Large health companies are buying other companies, such large mergers allow for greater health data accessibility. Greater health data may allow for more implementation of AI algorithms The following are large companies that have contributed to AI algorithms for use in healthcare.

Telehealth
The increase of Telemedicine, has shown the rise of possible AI application. The ability to monitor patients using technology, may allow to communicate information to physicians if possible disease activity may occur. The use of a device such that a person more wear, may allow for constant and also for the ability to notice changes that may be less distinguishable by humans.

Future Of The Field
As the field progress, clinicians will be faced with the option to adopt these new applications or continue with the current course of medicine, which without the use of AI has been effective. Research throughout the continuing the years may point to promising research results, however researchers may face the question of the efficacy of AI in translating it into clinical use. Such questions have brought upon potential need for regulations.

United States Government Regulations
Currently no regulations exist specifically on the use of AI in healthcare. The only agency that has expressed concerned is the FDA. Bakul Patel, the Associate Center Director for Digital Health of the FDA saying.

“We're trying to get people who have hands-on development experience with a product's full life cycle,” says Bakul Patel, the FDA’s associate director for digital health. “We already have some scientists who know artificial intelligence and machine learning, but we want complementary people who can look forward and see how this technology will evolve.”

Criticism
Elon Musk has helped started Neuralink a company that ....

Musk also helped raise a billion dollars in donations for the non-profit research company OpenAI, which is aimed at fostering the development of artificial intelligence research and development, but in a way that is beneficial to humans. Musk has been quoted saying “Maybe there's a five to 10 percent chance of success [of making AI safe],”

Similarly Charlie Brooker the writer of the British science fiction anthology series Black Mirror, wrote "San Junipero"  the fourth episode in series three which

Wile such people like Isaac Kohane, Professor & Chair, Department of Biomedical Informatics at Harvard Medical School have argued the opposed.