Welcome to the heart of medical innovation! Dive into the behind-the-scenes at the hospital of Le Havre where artificial intelligence proves to be a true ally of life. Discover now how this revolutionary technology is already saving lives and transforming the care experience. Get ready to be dazzled by its incredible impact!
Early detection of tumors thanks to artificial intelligence
New computer vision software detects tumors that even the most experienced radiologists might miss. This technological advancement allows oncologists to detect cancers at a very early stage, significantly improving the chances of recovery. Applications like Transpara Breast Care have already proven effective by highlighting abnormalities of less than 2 mm, often invisible to the naked eye.
The impact on emergency care
Since 2021, AI has been helping emergency services to quickly diagnose bone fractures that are hard to detect with the naked eye. The director general of the Hospital Group of Le Havre (GHH) asserts that AI has not only been helpful in detecting more fractures but also in reducing waiting times in emergency rooms.
Other applications have been deployed to analyze knee MRIs and detect various cancers, including those of the breast, lung, and prostate. Future technologies may even be used for diagnosing heart problems.
A notable cost-effectiveness
The annual cost of AI for the year 2024 is estimated at 65,000 euros, a trivial amount compared to the 450 million euros of the institution’s annual budget. This cost is equivalent to that of one nurse, which makes the adoption of AI all the more justifiable.
The AI applications used come from Incepto Medical, a French start-up specialized in artificial vision for medical imaging. With a fundraising of 27 million euros, the company already serves over 300 clients, primarily hospitals and clinics.
Limits and essential complementarity
Although AI demonstrates impressive performance, it is not perfect. Sometimes the software misinterprets a scar as a potential tumor. Thus, human expertise remains essential to validate the results provided by AI software.
For instance, Dr. Farzaneh Quieffin, initially skeptical, admits that AI’s analytical capabilities surpass those of experienced radiologists in certain cases but still require human intervention for final confirmations.
Evolving digital assistance
Dr. Marie-Hélène Marques, head of the pulmonology department, uses software capable of comparing current examination results with previous ones. This function allows her to more quickly focus on suspicious forms. The time saved can thus be devoted to patients.
Medhi Soudani, a urological surgeon, uses AI to show his patients MRI analyses, helping them better understand and visualize their condition. Such an approach prepares patients to better manage their pathology.
Next steps: simplified administrative tasks
In a few weeks, the introduction of generative AI could allow for the automatic drafting of consultation reports. This initiative aims to relieve doctors of certain administrative tasks, allowing them to focus more on patient care.
