Technology progresses fast. It is on chase to catch its purpose — to eliminate routine tasks and bring pleasure and improvement to people’s professional and everyday life.
In medicine an important question is what role artificial intelligence and machine learning systems will play in clinical practice and whether a machine will be able to ‘learn from experience’ and progress its performance. And the second one is if AI will be able to replace the scientists’ expertise.
Future for AI
There are a lot of fields of medicine which require AI’s help and assistance, improvement of workflow efficiency and giving a more accurate diagnosis to prescribe preventative measures, treat the problem found quicker, understand the needs.
Image taking, reading and interpretation, computerized tomography, X-rays and MRI, automation process of analyses, detection of pathology, patients’ care could improve the quality of work of the specialists, especially those who are inexperienced or slow to adopt telehealth, and lead to creating relevant benefits and effective healthcare systems. Besides, AI can be programmed and it can carry out paperwork, administrative tasks that will save time and money for malpractice and test quality control of competences of the specialists.
AI can develop its talents as well as people’s. It could be done via a crowdsourcing approach — through peer-to-peer discussion by data scientists of AI tasks. That grows the quality of the developments of commercial companies, saves money and time for developers and customers who are just getting started with AI.
AI will surely help for speech recognition and natural language understanding systems for doctors and patients. It could be at hand with tapescripts of speech or more advanced interface for communicating with voice assistants, medical information systems or contacting call centres. Automatic chatbots can support patients, promote adherence to treatment, answer frequent simple questions or promote self-care, healthy habits, give dietary recommendations.
AI systems can help automatically classify the information, verify it. It could also be promising for machine analysis of social nets content to get any kind of information, for instance on the quality of services, system etc.
To improve the quality of medical employees and assisting them the development of robotics and mechatronics which will integrate with AI is foreseen in the nearest future.
People will still be of need, as AI needs being tuned to understand the data to solve specific problems .
For sure, AI influences medicine. If earlier scientists used to be more critical and sceptical about AI and machine learning technologies, the healthcare sector proves AI’s confident expansion, its positive effects and strong development.
- ANDREW NG. What Artificial Intelligence Can and Can’t Do Right Now // Harvard Business Review. URL: https://hbr.org/2016/11/whatartificial-intelligence-can-and-cant-do-right-now
- Photo by Joshua Sortino on Unsplash