Redistribute the world’s healthcare expertise

10

October

2019

5/5 (1)

From a historical perspective, it is logical that education in healthcare and thus expertise in surgery has concentrates in few places worldwide. Those with access to high quality education since their childhood are the only ones able to pursue such noble dreams; the art of making fellow humans great again. Well, fellow humans that are close by, unfortunately. For example, in Germany, Italy, Sweden and Finland, there are between 110-115 surgeons per 100,000 people, compared to 0.46 surgeons in Tanzania, or 0.56 in Mozambique (The World Bank, 2019).

How can we provide better healthcare and treat patients equally worldwide? What role can technology play to redistribute the world’s expertise of surgeons? Augmented reality is making it’s first steps into the healthcare domain. For example, Philips announced a partnership with Microsoft to embed the Hololens 2, an augmented reality device, in their operating rooms (Philips, 2019). Currently experimented with for minimally invasive therapies, but the future could be more promising.

With such technology, an expert surgeon can play a crucial role by assisting remotely during a surgery, being the main guidance for surgeons that are not as experienced. This means that in areas where there is no surgeon at all, this would drastically improve success rate of surgeries without excessive long-term investments in education (and all infrastructure around it). Of course, such devices are super expensive for these areas and therefore not very scalable. In semi-educated areas where there’s few (and not zero) specialized surgeons, there may be situations where there’s a very special patient that none of the surgeons have any experience with. In these rare occasions, having professional guidance remotely could be a life-changer. Or, if the one specialised surgeon in a specific are is unavailable at a crucial moment (whether due to holidays or no night-shift) and there are surgeons in other parts of the world in their working day, and with the right expertise, they could also be a key factor for treating a patient successfully.

With help of a device such as the Hololens 2. This allows treating patients worldwide at a higher success rate. Furthermore, these viewings can be used for educational purposes to educate locally and on the spot. However, serious financial investments have to be made, but I am wondering if it would be a solution compared to building full educational infrastructure. And most importantly, by learning on the job, local expertise can be built so the mechanism is educative by nature.

https://data-worldbank-org.eur.idm.oclc.org/indicator/SH.MED.SAOP.P5?most_recent_value_desc=true&view=map

https://www.philips.com/a-w/about/news/archive/standard/news/press/2019/20190224-philips-showcases-unique-augmented-reality-concept-for-image-guided-minimally-invasive-therapies-developed-with-microsoft.html

hololens2

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Quick and Dirty Money

3

October

2019

5/5 (1)

Deepfake is technology to mimic humans in media, such as in photographs and videos. In fact, these algorithms are already so advanced it is impossible for a real human-being to notice that the content and persons are fully AI-generated. With a database of existing images and videos, machine learning techniques known as generative adversarial networks can generate these new sources of media from scratch in seconds. It has already been used to create fake news, fake celebrity videos or revenge porn (Alec Banks, 2018). These situations are without a doubt horrific. Apart from the very few creators, no one benefits from these activities that shake up stable societies.

The adult-video industry is made highly illegal by politics (arguably for good reasons) in many countries in Asia and Africa, resulting in fully blocked videos and photos, or censored genitals. Reasons for censorship is the dark and unwanted industry behind these videos, think of human trafficking, slavery, violence, crime and abuse. For end-users however, several studies conclude that liberalization of pornography in society is actually associated with decreased rape and other sexual violence (Anthony D’Amato, 2006), though other studies do find this effect, but not significant.
With AI-generated content, substantial monetary rewards can be made while positively impacting society. Namely, the dark industry behind these current videos is partially the reason for fully illegalizing it. So, if generative adversarial network technology results in friendly generated videos (just an algorithm and nothing else), current policies based on pornography with humans do not apply anymore. If in AI-generated content in which no person was ever involved, and is merely generated for end-users, should these videos then be allowed?

A world opens up for potential creators of media under a grey area of jurisdiction. Once that time may come, I expect that reaping the harvest seems the way to make quick and dirty money.

References
Banks, Alec. “Op-Ed | Deepfakes & Why the Future of Porn is Terrifying.” Available at: https://www.highsnobiety.com/p/what-are-deepfakes-ai-porn/
D’Amato, Anthony. “Porn up, rape down.” Original L. Rev. 2 (2006): 91. Available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=913013

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