Artificial Intelligence (AI) is key to realizing the transformation toward value-based healthcare. AI can help to make medical equipment smarter, imaging and lab results faster, and examinations more precise.
This dossier provides an overview of the current status and future promises of AI. Its examples show how smart data, analyzed with AI, can support breast cancer care and research, and facilitate collaboration between medical specialties for the sake of improved, more personalized and more targeted patient care.
Expanding Precision Medicine through Integrated Decision Support
Collating multiple data sources in clinical workflows allows for more precise and cost-effective diagnostics and therapies. Advances in cardiovascular and cancer medicine, for example, require intelligent IT tools and cross-disciplinary data handling strategies.
Adding Value with AI in Medical Imaging
In the next five to 10 years, artificial intelligence is likely to fundamentally transform diagnostic imaging. This will by no means replace radiologists, but rather help to meet the rising demand for imaging examinations, prevent diagnostic errors, and enable sustained productivity increases.
“Data is the Only Way to Meet the Future Needs of Our Patients”
Peter Fasching, a gynecologist at Erlangen University Hospital in Germany, works closely with international teams to research the role that genomes play in breast cancer. Read about the challenge of transferring this knowledge to clinical practice, and the potential of smart data for personalized medicine.