*We embrace the following formal definition of AI (source: HLEG definition AI)
Artificial intelligence (AI) systems are software (and possibly also hardware) systems designed by humans that, given a complex goal, act in the physical or digital dimension by perceiving their environment through data acquisition, interpreting the collected structured or unstructured data, reasoning on the knowledge, or processing the information, derived from this data and deciding the best action(s) to take to achieve the given goal.
AI systems can either use symbolic rules or learn a numeric model, and they can also adapt their behavior by analyzing how the environment is affected by their previous actions.
As a scientific discipline, AI includes several approaches and techniques, such as machine learning (of which deep learning and reinforcement learning are specific examples), machine reasoning (which includes planning, scheduling, knowledge representation and reasoning, search, and optimization), and robotics (which includes control, perception, sensors and actuators, as well as the integration of all other techniques into cyber-physical systems).
Results presented are for illustrative purposes only and are not predictive of actual results for your business.
**Based on in-house testing.
- Radiology staff in focus: A radiology services impact and satisfaction survey of technologists and imaging directors. A research study conducted for Philips by The MarkeTech Group, 2019.
- Enhancing the patient experience of imaging: A survey of patient responses to recent imaging procedures. A research study conducted for Philips by Kantar TNS, 2017.