AI in medicine: making diagnoses and designing treatment plans

Artificial intelligence (AI) has made significant advances in recent years and is set to transform medicine in fundamental ways. It not only offers innovative solutions for improving diagnosis, but also supports the development of personalised treatment plans. AI is already being used in major Swiss hospitals. But how exactly can artificial intelligence assist medical staff?

Diagnosing with AI

AI systems analyse vast sets of medical data to identify patterns and anomalies that are difficult to detect. Using machine learning algorithms, AI enables accurate diagnoses, particularly in radiology, where AI models analyse images such as X-rays and scans to detect disease. In practice, AI-based diagnostic systems often achieve a level of accuracy comparable to or better than that of human experts. However, the widespread use of AI in diagnostics is not yet fully established and remains primarily a complementary tool.

Lightening the load on medical staff

Digital solutions are designed to make our daily lives easier and reduce our workload.A well-known example in the medical field is online appointment booking, which saves medical staff precious time.

Today, the integration of AI into medical routine is imminent, and in some cases already in place. Automating routine diagnostic tasks and analysing large amounts of data saves valuable time that doctors and nursing staff can devote to direct patient care. What’s more, AI systems, thanks to continuous learning and regular updating of their databases, stay in step with advances in medical research, improving treatment outcomes.

Future prospects

The future of AI in medicine is promising, as this advanced technology finds more and more applications. Future developments could refine diagnoses, design more complex treatment plans and offer proactive health measures.

Despite these advances, AI remains a valuable aid and will not replace doctors.Although the technology is constantly evolving, only a doctor will continue to make the final decisions. Furthermore, challenges remain, such as ethical issues, data protection and legal responsibilities, which require close collaboration between technology companies, doctors and legislators.