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Showing posts from November, 2024

Therapy on demand: conversational AI as the future of mental health?

  According to a 2022 report by the World Health Organization, approximately 970 million people worldwide lived with a mental disorder in 2019, with this number significantly rising with the onset of the COVID-19 pandemic. The services, skills and funding in the mental health services sector also remained in short supply, disproportionately impacting low and middle income countries. In light of these alarming statistics, the integration of new technologies offers unprecedented possibilities. Over the last few years, AI for mental health has rapidly emerged as a revolutionary solution. Be it through therapy chatbots or virtual counseling platforms, conversational AI is redefining the boundaries of mental health services. Discover the unique features that make conversational AI a pivotal force in the future of mental health. Read on to explore its transformative benefits as well its limits. Instant support at your fingertips 1.  Never alone: The role of round-the-clock support C...

Top Challenges of AI in Healthcare: Risks of Conversational AI

  Risks and Challenges of AI in Healthcare Artificial intelligence (AI) has become a transformative force in healthcare, driving innovation and improving patient outcomes. Consider a scenario where a patient uses a chatbot to discuss troubling symptoms. Within moments, the AI analyzes their medical history and provides tailored recommendations for care. This example illustrates AI’s ability to enhance both the speed and personalization of diagnoses, ensuring patients receive accurate and timely care. As AI technology progresses, it has the potential to revolutionize healthcare, promoting efficiency, accessibility, and a more centric approach. However, as healthcare organizations integrate AI into their operations, they face several risks and challenges. As healthcare organizations increasingly integrate AI into their operations, they encounter a range of risks and challenges that must be carefully navigated. Issues such as data privacy concerns, algorithmic bias, and the potential ...