Thursday, January 30, 2025
How is AI revolutionizing medical technologies? Challenges, advances and perspectives
Artificial intelligence is revolutionising the healthcare and MedTech sectors by providing innovative solutions for diagnosing, treating and monitoring patients. With Medi'Nov Connection 2025 just a few weeks away, where a round table discussion will address the subject of digital innovations, it is essential to understand how AI is shaping the future of medical technologies.
A revolution in medical diagnostics
In the field of diagnostics, AI plays a crucial role in facilitating the analysis of complex data, particularly in medical imaging. Algorithms can be used to interpret MRIs, scans and mammograms with sometimes greater accuracy than human radiologists. A study published in The Lancet Digital Health recently demonstrated that AI could reduce the error rate in radiology by 25%, contributing to faster and more accurate diagnosis.
AI also plays a key role in screening for rare diseases by analysing genetic databases and algorithms identify associated mutations. This approach could reduce diagnosis times and improve patient care.
Towards personalised medicine
The integration of AI into medical devices is paving the way for personalised medicine. By analysing patient data in real time, intelligent solutions can tailor treatments to individual needs. In oncology, platforms are using AI to identify the most effective therapies based on a patient's genetic profile, improving treatment success rates.
Optimising hospital care and processes
Beyond diagnosis and treatment, AI optimises hospital management and patient care. By automating administrative tasks, it frees up time for healthcare professionals, enabling them to focus on patient relations. AI also makes it easier to monitor patients remotely. Intelligent sensors combined with algorithms can detect anomalies in real time and alert carers if there is a problem. Studies have shown that these systems significantly reduce the rate of re-hospitalisation.
Ethical and regulatory challenges
Despite its potential, the adoption of AI in MedTech raises major ethical and regulatory issues.
Algorithm reliability: How can we guarantee the accuracy of predictions and avoid errors due to unrepresentative data?
Protection of patient data: The use of massive databases raises issues of cybersecurity and confidentiality.
Regulation: The European Union has adopted the AI Act, which sets strict standards for AI medical applications. In the United States, the FDA is developing regulatory frameworks to guarantee the safety of AI-based devices.
AI and digital innovations at the heart of Medi'Nov Connection 2025
Given these advances and the many questions they raise, Medi'Nov Connection 2025 will be hosting a round table (Wednesday 26 March) to take stock of the use of AI and digital innovations in MedTech: how are they being applied on a daily basis in university hospitals and for remote patient monitoring? How are they transforming medical practices and relations between clinicians, patients and innovation designers? What regulatory and supervisory strategy should be adopted for these innovations in order to meet the stringent safety and transparency requirements?
Join us at Medi'Nov Connection 2025 on 26 and 27 March 2025 to explore the future of MedTech !