Michel van Schaik, Director Sectormanagement Healthcare, Rabobank
Generative artificial Intelligence (AI) is revolutionizing industries across the world, reshaping the way businesses operate and innovate. In the healthcare sector, AI is quickly making significant strides, from discovering new genetic links and automating administrative tasks to powering surgery-assisting robots and personalizing patient treatments. We are in the initial stages of the journey to understanding AI’s capabilities, but its growth potential is immense.
The healthcare market is poised for a transformative shift with the increasing adoption of AI, leading to new business models and revenue streams. The global AI in healthcare market was valued at USD 19.27 billion (€17.6 billion) in 2023 and is projected to grow at a CAGR of 38.5% from 2024 to 20301. This growth comes at a vital time for healthcare, as the industry faces a global shortage of medical professionals and the mounting needs of an ageing population.
With the challenges ahead for the industry in mind, exploring AI’s impact on medical imaging, surgeries, and administrative efficiency highlights the vast opportunities AI presents for the future of healthcare.
Revolutionizing Medical Imaging and Diagnostics
AI has made a substantial impact in medical imaging, particularly in X-rays, Magnetic Resonance Imaging (MRI), and Computed Tomography (CT) scans. AI can analyze vast amounts of imaging data to predict and diagnose diseases and detect early signs of diseases by identifying abnormalities that may be undetected by the human eye. This capability not only improves diagnostic accuracy but also enables earlier intervention.
Equipment manufacturers are leveraging the benefits of AI integration into their equipment. Jesus Blasco, Senior Vice President Capital Markets, EMEA at GE HealthCare, recognizes the value of the integration of AI for healthcare professionals. He explains, “AI-powered image analysis tools are transforming medical imaging, including ultrasound, X-ray, and MRI. For example, AI-based technology incorporated into GE HealthCare’s ultrasound portfolio aims to streamline workflows, improve exam accuracy and efficiency, and enhance ease-of-use. AI technology can allow clinicians to focus more on patient care and may ultimately help improve outcomes and supports precise diagnoses and effective treatments.”