The global health care market of artificial intelligence, worth $ 29.01 billion in 2024, It is expected to reach 504.17 billion dollars by 2032. In Europe alone, The market is expected to grow From $ 7.92 billion in 2024 to 143.02 billion dollars by 2033, with an annual growth rate of 38 %.
The increased adoption emphasizes the potential of artificial intelligence in many areas of health care: it can enhance the accuracy of diseases and early detection, support personal treatment plans, simplify administrative tasks such as bills and scheduling, and improve hospital resources management through predictive analyzes. In clinical practice, Amnesty International has already shows the effect In areas such as early septic detection and improving breast cancer examination.
Also HIMSS TV: “Amnesty International is a real health care revolution. Artificial intelligence tools allow us to understand that we will have ultra -widespread, highly exciting, extremely exciting approaches in the very near future.”
AI advances beyond merely helping doctors make decisions. “The level of performance is approaching a person as of today, but it will exceed the human level of performance, which brings new horizons for the general performance of health care,” Tesenier said.
Critical challenges With artificial intelligence
Despite the increasing enthusiasm, there are still major concerns. “The bias can affect clinical decisions and patient care when we publish HIMSS television interview. They refer to current restrictions in systems such as arrhythmias detection devices that do not usually work on people with dark skin recognition and failed melanoma tumor across the diverse population.
Morley also defines a deeper systemic issue called “Reverse Data Quality”: “where you have the biggest need, you often have the slightest provision of high -quality data.” This primary challenge means that the creation of a fair Amnesty International systems requires the treatment of both technical restrictions and governance obstacles.
Despite these obstacles, Murley is still optimistic that the right methods can overcome the current challenges. It believes that innovations like safe data environments provide an applicable path forward: “It is quite possible to protect individual patient data and take advantage of the benefits of population health at the group level. You can get your cake and eat it as well.”
Balance of innovation and protection
To face the challenges of artificial intelligence, the European Union has established two organizational frameworks to ensure a balance of health care care for innovation with morals, transparency and respect for basic rights.
the European Union Data Law It aims to improve access to data created by connected medical devices, and to help create more diverse and representative data groups while reducing the risk of algorithm bias. At the same time, and European Union Law, Amnesty International It defines clear requirements for high -risk artificial intelligence systems, inserting guarantees such as mandatory effect assessments, human control, and artificial intelligence models that can be interpreted and verified data.
These frameworks are together to support an environment where AI for health care can provide accurate and personal care while maintaining confidence, fairness and accountability.
Antoine Tesnier, the administrative director of Parisanti University campus, and Dr. Jessica Morley, Post -PhD Researcher at the Yale Digital Ethics Center, He will speak at HIMSS EUROPE 2025And it will be held in Paris 10-12 June.
