Conversational Artificial Intelligence (AI) holds the potential to transform clinician‑patient interactions by improving accessibility, engagement, and efficiency in healthcare. Leveraging technologies like Natural Language Processing (NLP) and machine learning, conversational AI can facilitate human‑like interactions and offer scalable solutions to address critical challenges.Applications span patient education, triaging, and diagnostic support, enhancing both experiences and outcomes. Case studies, such as Mindline.sg, demonstrate how AI‑driven platforms personalize support while empowering patients through culturally relevant and simplified health information. Similarly, innovative approaches in lung function tests address common patient pain points, including preparation anxiety and missed appointments, by integrating empathetic AI‑driven solutions. These advancements underscore the pivotal role of conversational AI in streamlining healthcare delivery while preserving the human‑centric ethos of medical care. As AI evolves, addressing regulatory and ethical considerations will be crucial to maximize its benefits for both patients and healthcare professionals.
Conversational Artificial Intelligence (AI) holds the potential to transform clinician‑patient interactions by improving accessibility, engagement, and efficiency in healthcare. Leveraging technologies like Natural Language Processing (NLP) and machine learning, conversational AI...
This session introduces ‘CC’, the vCare Companion Robot, which helps hospital staff reduce administrative burden by 3+ hours per shift – and increase the quality of life for overburdened care...
Many important healthcare applications like matching patients to clinical trials, applying the right clinical guidelines, differential diagnosis, clinical coding, patient registries, and real-world data curation depend on understanding the full...
“Knowledge Management with Gen AI and RAG challenges” explains why Knowledge Management is a foundational piece of how enterprise will operate in the New AI era and how to implement...
The MultiCaRe Dataset is a multimodal case report dataset that contains data from 75,382 open-access PubMed Central articles spanning the period from 1990 to 2023. It includes 96,428 clinical cases...