Health is a subject we have long been passionate about at premaccess and one that, today more than ever, makes complete sense. Humanity now has the most powerful tools to answer the problems facing us, and yet we are vulnerable.
So, to change the angle a little, we have put together a short list of the innovations we follow closely, because for us they are representative of the world of tomorrow, of the one we want to build with you. And when technology carries meaning, we like it!
Some solutions sometimes look as if they came out of a science fiction film, and yet. They really are concrete solutions that can be used today or are under development.
If you want a little more background when we talk about Artificial Intelligence or Machine Learning, you can refer to our article AI and ML the view of premaccess on the services offered by AWS here.
The following questions remain today, and we would like to answer them with you:
- How do we generalise these processes?
- Scale them up and make these technologies accessible to the greatest number?
Do you have other examples? Share them with us!
Medicine and technology: artificial intelligence, robotics, blockchain in the service of the common good
1. New chemical molecules for drug research
@Iktos uses an #algorithm to imagine new chemical molecules that are effective in drug research; its technology #virtually explores the almost infinite universe of chemistry to imagine new #synthetic molecules and predict how effective they are.
https://www.lesechos.fr/industrie-services/pharmacie-sante/medicaments-du-futur-iktos-explore-lespace-chimique-grace-a-lia-1182596
2. Screening for heart disease: measuring blood flow instantly and accurately
By comparing the results generated by the #AI with each patient’s health records, the team found that patients whose blood flow was reduced were at greater risk of dying from a heart attack, a #stroke or heart failure.
For the first time, the tool proved capable of predicting which patients might die or suffer major adverse cardiovascular events, better than a doctor could do alone with traditional approaches.
https://www.santemagazine.fr/actualites/actualites-sante/lintelligence-artificielle-peut-aider-a-predire-le-risque-de-crises-cardiaques-et-davc-432130
3. Predicting the probability of a haemorrhagic shock or a head trauma event
The aim is to develop prediction models and, in time, to build a services platform.
The project will draw on the resources of the #Traumabase registry, fed by a network of around a hundred emergency physicians and anaesthetist-intensivists across France.
And which brings together the hospitalisation and remission data of 20,000 admissions for severe trauma in France.
In time, the tool being #developed, which uses artificial intelligence, will make it possible to predict the probability of a haemorrhagic shock or a head trauma event, and also to adjust the care strategy.
https://www.lesechos.fr/partenaires/capgemini/e-sante-la-data-et-lia-au-secours-des-patients-atteints-de-traumatismes-graves-1168623
4. Predicting the progression of neurodegenerative diseases to better anticipate the course of illnesses such as Alzheimer’s disease
The #algorithm was able to detect the different gene expressions of these patients over decades through the analysis of blood samples and post-mortem brain tissue from 1,969 patients and with the help of an AI algorithm and #deeplearning techniques.
https://www.santemagazine.fr/actualites/actualites-sante/une-analyse-sanguine-par-ia-peut-predire-la-progression-des-maladies-neurodegeneratives-431793
5. Improving the efficiency of medical imaging and optimising patient flows
With the aim of shortening examination times and optimising patient flows, while ensuring consistent quality of care, and it makes it possible to manage and remotely maintain fleets of scanners, MRI machines and others…
Another fine step forward #Healhtech
https://www.lesechos.fr/industrie-services/pharmacie-sante/limagerie-medicale-a-lheure-de-lintelligence-artificielle-1156756
6. Improving the quality of medical records by allowing health professionals to dictate straight into the cloud
With Dragon Medical One, doctors and nurses can now document patient records on the move, from their practice, at home or in hospital, with a guaranteed #availability rate of 99.5%.
https://www.hospitalia.fr/Les-professionnels-de-sante-peuvent-dicter-dans-le-Cloud-en-toute-securite-avec-Dragon-Medical-One_a2026.html
7. Improving the trust, security and auditability of medical data
Blockchain technology would answer the issues of trust, security and auditability of this data, thereby complementing the #AI and #IoT offerings based on that same data.
In a study, Acumen indicated that the global blockchain market in the health sector should grow by 48.1% by 2026 and reach more than 1.7 billion dollars.
https://cryptonaute.fr/blockchain-remede-ideal-donnees-de-sante/
8. Connecting our brain to a machine
The answer is yes, after @Neuralink in July on rats, Elon Musk is planning the first human trials of his #transhumanist interface from the end of 2020.
Thanks to a bundle of “brain cords” connected to our neurons, we would increase our intellectual capacities and would even be able to control #AI so that it does not end up taking over!
An impressive piece of research!
https://www.sciencesetavenir.fr/sante/cerveau-et-psy/l-ia-et-l-humanite-cerveau-pourrons-nous-connecter-notre-cerveau-a-une-machine_137653
9. Having surgery without a doctor present
Technologically speaking, that is entirely possible. Many of you understand and tell yourselves that technology and #artificialintelligence could be a great opportunity for progress for their health.
The road is likely to be long and complicated to develop this method because in France, 78% of the patients surveyed would not accept fully automated diagnoses or care procedures, without human oversight.
https://www.sciencesetavenir.fr/sante/e-sante/capteurs-connectes-intelligence-artificielle-pas-sans-medecin-disent-les-patients-etude_134531?utm_source=sociabbleapp&utm_medium=social&utm_campaign=none&utm_term=NVqCBfGjVi&socid=NVqCBfGjVi
10. Detecting lung cancer
Lung cancer is the cancer that causes the most deaths in the world. Every year, 1.7 million people die from it according to the figures of the World Health Organization (WHO). Once detected, the prognosis is often life-threatening, hence the importance of screening for it as early as possible. To gain accuracy and speed, artificial intelligence is increasingly used in the field of radiology. Google has developed an AI that makes it possible to detect the cancer as early as possible.
https://www.sciencesetavenir.fr/sante/cancer/google-a-lance-une-ia-pour-detecter-le-cancer-du-poumon_134208
11. Detecting heart attacks from the sound of the voice
A revolution in sight in emergency call centres!
The #AI technology runs in the background of incoming emergency calls and picks up the caller’s keywords, language and sound patterns that may indicate that the patient is having a heart attack. And if the AI detects it, a priority ambulance is sent.
The State of Victoria in Australia has announced that it will inject 800,000 euros to continue the project.
A fine investment by the Australian government!
https://www.zdnet.com/article/victoria-to-use-ai-to-detect-heart-attacks-on-emergency-calls/
12. Collecting more information through a chatbot
The purpose of putting Jeanne in place (yes, the #chatbot is called Jeanne) is to obtain as much information as possible upstream so that the appointment with the specialist is as effective as it can be as soon as it takes place.
Thanks to this, we will be able to make the best use of medical resources and also improve the personalisation of the experience.
https://www.whatsupdoc-lemag.fr/article/les-patients-acceptent-de-se-livrer-facilement-et-plus-rapidement-avec-des-chatbots
13. Drawing blood with very high precision
American researchers have designed a robot #prototype capable of finding and puncturing a vein accurately in order to avoid these drawbacks.
With an overall success rate of 87% for the 31 participants whose blood was drawn. And, for the 25 people whose veins were easy to access, the rate rose to 97%. By way of comparison, health professionals have a success rate of 73% in patients with no visible veins and 60% for people with no palpable veins.
https://www.usine-digitale.fr/article/ce-robot-est-capable-de-prelever-du-sang-avec-une-tres-grande-precision.N927914
Conclusion
Do you have Artificial Intelligence, Machine Learning topics?
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Going further:
Premaccess article = Artificial intelligence AI fears or opportunities?
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