Advancements in AI for Healthcare and Information Retrieval

The field of AI is rapidly evolving, with a significant focus on its applications in healthcare and information retrieval. Recent developments have shown great potential in using AI to improve patient outcomes, enhance preventive care, and increase accessibility to healthcare services. The integration of AI in household environments, particularly in the form of proactive autonomous agents, is also becoming increasingly important. In the area of information retrieval, AI-powered patent retrieval systems are being developed to improve the efficiency and effectiveness of patent searches. Furthermore, AI-enhanced conversational agents are being explored for personalized health support, and AI telephone surveying is being used to automate quantitative data collection. Noteworthy papers in this area include:

  • 'Redefining Elderly Care with Agentic AI: Challenges and Opportunities', which explores the potential of Agentic AI in elderly care,
  • 'FullRecall: A Semantic Search-Based Ranking Approach for Maximizing Recall in Patent Retrieval', which introduces a novel patent retrieval approach that achieves 100% recall. These advancements highlight the potential of AI to transform various industries and improve human lives.

Sources

Redefining Elderly Care with Agentic AI: Challenges and Opportunities

FullRecall: A Semantic Search-Based Ranking Approach for Maximizing Recall in Patent Retrieval

Agentic AI for autonomous anomaly management in complex systems

A Fisher's exact test justification of the TF-IDF term-weighting scheme

Advancing Responsible Innovation in Agentic AI: A study of Ethical Frameworks for Household Automation

Voice-based AI Agents: Filling the Economic Gaps in Digital Health Delivery

Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Improved Message Delivery in Mobile Maternal Health

Enhancing patent retrieval using automated patent summarization

Beyond Algorethics: Addressing the Ethical and Anthropological Challenges of AI Recommender Systems

AI-enhanced conversational agents for personalized asthma support Factors for engagement, value and efficacy

Our Cars Can Talk: How IoT Brings AI to Vehicles

AI Telephone Surveying: Automating Quantitative Data Collection with an AI Interviewer

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