Artificial intelligence has the potential to create an alternative to the human resources and support a digital workforce in healthcare by facilitating diagnostics. With the increase in life expectancy and the number of chronic diseases, the access to healthcare services is a dire need. Due to lack of skilled and experienced healthcare professionals, the healthcare industry direly needs a digital workforce.
An effective system needs the availability, accessibility, acceptability, and quality of its health crews. AI has the potential to fill the gaps in healthcare. It is able to understand and reason its environment as a human. Machine learning, a powerful subset of AI learns from sets of data, which largely contains radiology images, and discovers recurring patterns.
Deep learning, which is a subset of machine learning, is efficient at executing a gamut of tasks that include image recognition, natural language processing, and translation. AI tools can improve eye treatment by mining millions of anonymized eye scans with related medical records. Tools, developed for oncology treatment provide clinicians with evidence-based treatment options. They are also able to analyze the meaning and context of structured and unstructured data in clinical notes and reports.
Using AI, human workforce can be substituted by intelligent tools and devices. Amid the lack of skilled healthcare service providers, building digital workforce with the power of AI emerges as the best alternative.