According to MarketsAndMarkets, the medical diagnostics market is expected to grow from $ 1 billion this year to $ 5.5 billion by 2027, mostly in the hands of giants like Microsoft, Nvidia, IBM, Intel or Google. From thousands of data, X-rays or blood samples, artificial intelligence (AI) will allow you to better anticipate problems that may arise and better detect tumors, for example, on an X-ray. The success rates of these technologies already exceed 99% at best, and the permanent integration of new data allows them to be further improved to approach 100%. And also to “regionalize” the results because we are not all facing the same environments.
Personalize treatment and follow-up
Cyber attacks on hospitals and health institutions are not good news at a time when health data is piling up and will represent $ 3.2 trillion in 2025. One third of the data produced worldwide will be health data. If patients were sufficiently reassured about the protection of their data, artificial intelligence could finally customize their follow-up and their treatments to individualization, because AI would combine the best of two worlds: a patient’s genetic makeup and feedback from a community of similar patients. Up to allowing nanomedicine or 3D printed implants that perfectly fit each individual.
From zero doctor to doctor 4.0
The Covid pandemic was an opportunity to realize, on a large scale, that teleconsultation could be of great interest. And even if, in a context of medical deserts, the French National Assembly imagines the presence of two health professionals – one on each side of the teleconsultation – everywhere, AI is doubly part of an improvement: it makes the doctor more efficient in diagnosing and in personalization, and can relieve him of low value-added tasks so that he can focus on his patient. According to the Harvard Business Review, it could help him with 80% of his duties, from triaging patients when they arrive to improving diagnosis.
Prevent rather than cure
16% of humans wear a connected object that tracks at least one health indicator, such as the famous 10,000 daily steps of your Apple smartphone. A figure that should double shortly, PwC assures. In addition to walking or physical activity, other indicators could be added, such as these surprising connected toilets, imagined more than 15 years ago by Sanjiv “Sam” Gambhir, influential researcher at Stanford Bio-X: this company of the future could detect in stool and urine a number of markers of severe disease. A Luxembourg start-up born at the University of Luxembourg, nio, is working on a custom app that allows patients to adapt their diet to their microbiome. There are many ideas on prevention.
Strengthening of health infrastructures
As the Luxinnovation report points out, one of the most important elements of the interest of artificial intelligence is perhaps in the improvement of health infrastructures, including hospitals, doctors or pharmaceutical laboratories. The growing shortage of medicines is an excellent example of the distance that remains to be covered, so that the entire supply chain is able to bring to the “final customer” – the patient – what they need. But with the ultra-sensitive data protection regimes that are health data, it will be necessary to reinvent collaborations to improve the entire supply chain, up to those drugs that do not yet exist, but which would be more effective than those that are administered.
This article was written for the revised edition of Paperjam of November 2022 published October 26, 2022. Magazine content is produced exclusively for the magazine. It is published on the site to contribute to the complete Paperjam archive.
Is your company a member of the Paperjam Club? You can apply for a subscription in your name. Tell us away [email protected]