The progressive evolution of technology has spawned creative new approaches to artificial intelligence (AI). Of the many other sectors, these developments have had a significant impact on the healthcare sector also, especially during the pandemic. Several Al systems have been improved to ensure the best healthcare outcomes in all possible circumstances. Conversational Al is making a compelling case for the much stressed healthcare sector, considering people may have a patient-centric, interactive, and intuitive approach. Artificial intelligence (AI) and natural language processing (NLP) technologies help to develop solutions that enable human-like interactions between patients, healthcare providers, and other stakeholders in the healthcare industry. Virtual assistants, voice-activated devices, or chatbots can help automatically comprehend and interact with users while providing them with solutions.
Increasing use of Conversational Al
Several factors have contributed actively to the growth of the use of Conversational Al in different industries and sectors.
Advancement of Natural Language Processing (NLP) and Machine Learning (ML)
Natural Language Processing (NLP) and Machine Learning (ML) are the two significant technologies in the development of Conversational Al to automate user interaction. Today, most NLP solutions are based on deep learning models implemented using neural network architectures. More recently, transformer architectures with self-attention mechanisms have become the state of the art. With the capability of answering common questions faster, chatbot interactions have the ability to exceed 2.8 billion annually by 2023.
The increasing usage of messaging platforms as a primary means of communication
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