Health service provision is under pressure globally to serve patients better, get higher value, and drive productivity. And the task keeps getting harder with increasing demands and expectations: aging populations, more complex symptom presentation, increasing regulation. AI and deep learning can have a big impact on healthcare.
For example, radiology is core to many diagnostics processes. There are over a billion radiologic assessments a year, and demand is increasing while some countries and populations are radically underserved. There is a wide range of ways deep learning can support the diagnostics process and assist medical professionals with quicker and more accurate assessments.
Deep learning can also help with translating patient sentiment, improving efficiencies across organizations, and automating many manual tasks, from improving patient records management to complex resource planning and allocation.