AI is supporting care every day

Artificial intelligence is no longer theoretical. It is embedded in daily medical practice, and its impact is expanding fast. In diagnostics, AI is proving invaluable. It can detect fractures and subtle anomalies invisible to the human eye. It can help identify certain cancers earlier. To ensure responsible adoption, education is essential. Healthcare professionals must understand both the power and the limits of AI. A collaboration between Institut Curie and Orange Business, for example, has helped make an algorithm more transparent and understandable. The model identifies rare cancers known as cancers of unknown primary, which affect around 7,000 patients each year. In prostate cancer screening, algorithms analyze thousands of MRI scans to detect subtle lesions, improving diagnostic accuracy.

AI goes beyond diagnosis. Tools like JAIDE monitor patient progress by analyzing medical reports and test results, enabling care teams to adjust treatment plans without waiting for the next consultation.

Digital therapies are already supporting patients in their daily lives. Personalized programs for children with dyslexia. Ongoing support for people living with chronic conditions. Monitoring tools for women with endometriosis. Even in low-resource regions, chatbots can help pre-identify dengue, malaria or yellow fever based on simple symptom inputs.

Predictive AI is also opening new frontiers in prevention. It detects weak signals early, helping anticipate complications, reduce relapse and tailor treatments more effectively.

The specificity of AI in healthcare lies in its ambition to be genuinely useful, helping professionals provide better care. But this raises real operational challenges because of fragmented data, a lack of standards, and systems that often cannot interpret or connect information across sources.

For AI in healthcare to improve, it must be both useful and effective. That starts with high-quality data. Data quality is the central challenge in advancing healthcare AI.

Laurent Frigara
CEO Enovacom, Orange Business health subsidiary
 

 

Shaping responsible AI

The expansion of AI in healthcare, including sensitive areas such as psychology and mental health, opens new possibilities to better understand, support and treat patients. But AI must remain an ally. It cannot become a replacement. Trust and human connection remain fundamental.

Claire Scotton VP Santé Orange Business

Artificial intelligence is driving a transformation in healthcare: stronger prevention, personalized treatments and optimized clinical research. At Orange Business, our 1,000 healthcare experts combine deep sector expertise with cutting-edge technology to support this progress with confidence, ensuring that people remain at the heart of every innovation.

Claire Scotton
VP Healthcare, Orange Business
 
 
 

To ensure AI remains a powerful ally for caregivers and patients

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• Strengthen clinical judgment. AI supports medical decision-making and frees up time, but physicians remain at the center of care and the guarantors of trust.

• Support the therapeutic relationship. Chatbots and digital assistants can enhance patient engagement, while preserving the essential role of human presence and listening. Read: The perilous charms of relational Ais.

• Ensure transparency and fairness. Our AI systems are designed to be explainable, so decisions can be verified and understood by everyone.

• Protect health data. At Orange Business, health data can be hosted and processed in secure, controlled environments.
Learn out more
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AI in action: concrete projects improving care

At Orange, we deploy AI to support caregivers and patients. Our approach helps medical teams save time, improve diagnostic precision and deliver more personalized care. Enovacom, the healthcare subsidiary of Orange Business, connects hospitals to enable fast, secure medical data exchange. The goal is seamless patient pathways, with no loss of time.

Through the Enovacom and Gleamer partnership, a pioneer in AI-powered radiology, radiology software is equipped with AI capable of detecting fractures, lesions and early tumor indicators. The result: faster, more reliable diagnoses, enabling earlier intervention when it matters most.

As mentioned earlier, Orange Business and Institut Curie have developed a deep learning algorithm to identify cancers of unknown primary. Trained on genetic and clinical data, it helps guide treatment decisions and optimize care for these rare cancers.

 

Toward responsible and ethical AI in healthcare

At Orange, we believe AI must strengthen medicine by supporting caregivers, securing practices and improving patient outcomes, always within a strict ethical and transparent framework.

What changes?

Toward responsible and ethical AI in healthcare

At Orange, we believe AI must strengthen medicine by supporting caregivers, securing practices and improving patient outcomes, always within a strict ethical and transparent framework.

Toward augmented and human-centered healthcare

At Orange, AI does not replace caregivers. It strengthens their capabilities, saves time, improves diagnostics and personalizes treatment, aligned with 5P medicine: preventive, predictive, personalized, participatory and evidence based. Human oversight checkpoints are built in before and after AI deployment to ensure safety, compliance and trust. This approach aligns with France’s Innovation Santé 2030 strategy, which promotes responsible use of technologies such as AI to improve healthcare organization and system performance.

In pharmaceutical research and development, Enovalife, an Orange Business subsidiary, brings 20 years of combined functional and technical expertise to clinical research teams.

 
Enovalife

Since 2018, Enovalife has developed AI projects and agents trained specifically for the pharmaceutical industry, including pharmacovigilance, medical affairs, biometrics and clinical operations. Its AI tools support regulatory and pharmacovigilance narrative writing, medical and scientific publication generation, signal detection in pharmacovigilance, quality control and clinical development decision support.

Beyond technology deployment, Enovalife actively contributes to advancing safer, more explainable and responsible AI. The result is AI that remains reliable and human centered. Technology that makes medicine more precise, more intelligent and more tailored to every patient, while maintaining constant professional oversight.