Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review

Intent detection is typically formulated as sentence classification in which single or multiple intent labels are predicted for each sentence [32]. The use of chatbots evolved rapidly in numerous fields in recent years, including Marketing, Supporting Systems, Education, Health Care, Cultural Heritage, and Entertainment. In this paper, we first present a historical overview of the evolution of the international community’s interest in chatbots. Next, we discuss the motivations that drive the use of chatbots, and we clarify chatbots’ usefulness in a variety of areas. After clarifying necessary technological concepts, we move on to a chatbot classification based on various criteria, such as the area of knowledge they refer to, the need they serve and others.

Consequently, promoting a healthy lifestyle early on is imperative to maintain quality of life, reduce mortality, and decrease the risk of secondary cancers [87]. According to the analysis from the web directory, health promotion chatbots are the most commonly available; however, most of them are only available on a single platform. Thus, interoperability on multiple common platforms is essential for adoption by various types of users across different age groups.

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Therefore, chatbots have the potential to be integrated into clinical practice by working alongside health practitioners to reduce costs, refine workflow efficiencies, and improve patient outcomes. Other applications in pandemic support, global health, and education are yet to be fully explored. Future assistants may support more sophisticated multimodal interactions, incorporating voice, video, and image recognition for a more comprehensive understanding of user needs. At the same time, we can expect the development of advanced chatbots that understand context and emotions, leading to better interactions. The integration of predictive analytics can enhance bots’ capabilities to anticipate potential health issues based on historical data and patterns.

This increased efficiency can result in better patient outcomes and a higher quality of care. When using chatbots in healthcare, it is essential to ensure that patients understand how their data will be used and are allowed to opt out if they choose. Leveraging chatbot for healthcare help to know what your patients think about your hospital, doctors, treatment, and overall experience through a simple, automated conversation flow. A recent study published in the Journal of the American Medical Informatics Association found that chatbots in healthcare are deemed most helpful when the chatbot’s ability, patient compliance, integrity and benevolence match that of a human agent.

Step 3: Fuse the best of human and AI

Create user interfaces for the chatbot if you plan to use it as a distinctive application. A bevy of different chatbots are now available, the most prominent of which are ChatGPT and Bard, which is marketed by Google. Both chatbots can produce computer-generated texts that display uncannily humanlike research and writing capabilities. Capacity’s conversational AI platform enables graceful human handoffs and intuitive task management via a powerful workflow automation suite, robust developer platform, and flexible database that can be deployed anywhere. Serving as the lead content strategist, Snigdha helps the customer service teams to leverage the right technology along with AI to deliver exceptional and memorable customer experiences. All authors contributed to the assessment of the apps, and to writing of the manuscript.

During the COVID-19 pandemic, chatbots were already deployed to share information, suggest behavior, and offer emotional support. They have the potential to prevent misinformation, detect symptoms, and lessen the mental health burden chatbot technology in healthcare during global pandemics [111]. At the global health level, chatbots have emerged as a socially responsible technology to provide equal access to quality health care and break down the barriers between the rich and poor [112].