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HEALTHCARE CHATBOT USING AI

  • Unique Paper ID: 168168
  • Volume: 11
  • Issue: 5
  • PageNo: 31-36
  • Abstract:
  • The integration of artificial intelligence (AI) in the healthcare sector is revolutionizing the way patients are cared for and medical processes are conducted. A significant milestone in this area is the development of AI-driven healthcare chatbots. These chatbots are designed to replicate human-like interactions, offering users immediate access to health information, initial diagnoses, scheduling of appointments, and ongoing support for patients. AI healthcare chatbots employ natural language understanding (NLP) and machine learning methods to analyze and reply to user inquiries. They are trained on extensive collections of medical journals, patient histories, and symptom catalogs, enabling them to provide precise and relevant answers. These chatbots can be accessed through various channels, including websites, mobile applications, and messaging platforms, making them readily available to a broad audience. Healthcare chatbots enhance the availability of medical advice, reduce the workload on healthcare professionals, and boost patient engagement. They are capable of handling numerous questions simultaneously, ensuring that individuals receive quick responses without the necessity for human intervention. This capability is particularly valuable in situations where healthcare resources are scarce or during non-working hours when medical staff might not be on duty. Moreover, AI chatbots can assist in the management of long-term health conditions by offering personalized health recommendations, reminders for medication, and continuous monitoring of symptoms. They also play a crucial role in mental health support by providing initial counseling and directing individuals to appropriate services as required. In conclusion, AI-driven healthcare chatbots represent a valuable asset in contemporary healthcare, offering numerous advantages such as enhanced accessibility, efficiency, and patient engagement.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 5
  • PageNo: 31-36

HEALTHCARE CHATBOT USING AI

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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