The World Health Organization estimates a 14 million shortfall of health workers by 2030
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 some populations are radically underserved. There are a range of ways deep learning can support the diagnostics process and assist medical professionals with quicker and more accurate assessment.
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.