Scope of Artificial Intelligence (AI) in the Healthcare Practice
Published by : Industrial Automation
In the healthcare practice, the scope of artificial intelligence (AI) has widened in the past few years, it has extended the capacity from virtual assistants to MelaFind technology. The incorporation of AI in the healthcare sector is well-positioned to improve patient care and potentially save lives.
Development in Artificial Intelligence (AI) has strengthened the belief that having machines solve problems that humans typically solved using their natural intelligence. It is still expected the growth in the technological advancements of the AI to transform the field of healthcare including diagnosis and treatment recommendations, patient communication, and care coordination.
“It is a wide probability to train machines to exhibit human-like intelligence and apply that in healthcare practice such as patient care. Limited global availability of human intelligence, but research and development lead its reach close the deal for the development of the AI for the end-users in the sector”
Considering the current AI in healthcare, there are wide opportunities in the market and a wide focus of the companies towards its adoption across the application to improve patient
care and potentially save lives. Moreover, these applications also include pattern recognition, robotics, and natural language processing (NLP), which includes speech recognition and translation. Furthermore, it also integrated with the machine learning technology that enhances the learning skills of the machines through continuously improve performance based on datasets.
Artificial intelligence (AI) technology can further use in the healthcare practice in the following ways –
• Virtual Assistants – The voice-based AI technology can assist the people with their daily activities such as reminders to eat, bathe, and take medication.
• MelaFind – This AI-driven technology primarily integrates infrared light to evaluate pigmented lesions and further using algorithms can assist the people about their irregular moles and diagnose serious skin cancers such as melanoma. Moreover, it cannot replace the actual therapy, but it can help you through giving an early identification.
• Robotic-Assisted Therapy – The therapy primarily incorporates robotic arm and hand using digital algorithms to manage and detect motions that patients can’t execute during therapy and guides them through it. For instance, Bionik Laboratories, a Toronto-based company, uses use AI and robotic technology to assist patients in their stroke recovery. This results in assisting patients in performing and better execution of recorded movements and minimize the need of a physical therapist.
In conclusion, the use of artificial intelligence (AI) in the healthcare practice will strengthen the capability and better consumer experience, which further leads to the demand and development of the technology in the global market in the future. Moreover, the developing infrastructure will further be lowering the cost which lowers the implementation cost and fear of data security across the healthcare sector.