ITU-WHO Workshop on Artificial intelligence for Health

ITU-WHO Workshop on Artificial intelligence for Health

WHO, ​Geneva, Switzerland, 25 September 2018

© ITU/I. Valon

The ITU-WHO Workshop on Artificial Intelligence for Health is a collaborative effort between the International Telecommunication Union (ITU) and the World Health Organization (WHO) to explore the potential of artificial intelligence (AI) in the field of healthcare. The workshop aims to bring together experts from both the ITU and the WHO, as well as other relevant stakeholders, to discuss and share best practices, challenges, and opportunities in leveraging AI for improving healthcare delivery and outcomes.

Artificial intelligence has the potential to revolutionize the healthcare industry by enabling more accurate diagnostics, personalized treatment plans, and efficient patient care. However, the use of AI in healthcare also presents unique challenges, such as ensuring patient privacy and data security, addressing biases in algorithms, and integrating AI technologies into existing healthcare systems.

During the workshop, participants will engage in discussions and interactive sessions to explore the current state of AI in healthcare, the latest technological advancements, and the ethical and regulatory considerations surrounding AI implementation. The workshop will also feature case studies and best practices from leading organizations that have successfully integrated AI into their healthcare operations.

The ultimate goal of the ITU-WHO Workshop on Artificial Intelligence for Health is to create a collaborative and forward-thinking environment where stakeholders can exchange ideas, build partnerships, and develop actionable strategies for leveraging AI to improve healthcare delivery and outcomes worldwide.

Business Use Case:

A leading healthcare organization is looking to leverage artificial intelligence (AI) to improve patient outcomes and streamline their operations. They have identified several key areas where AI can make a significant impact, including data normalization, content generation, and the use of large language models (LLM) for medical documentation.

Data Normalization:
The healthcare organization has a vast amount of patient data collected from various sources, including electronic health records, lab results, and medical imaging. However, the data is often disparate and unstructured, making it difficult to analyze and derive meaningful insights. The organization plans to use AI algorithms to normalize and standardize the data, allowing for more comprehensive and accurate analysis.

Synthetic Data Generation:
In order to train AI models for various medical applications, the organization needs a large and diverse dataset. However, privacy concerns and regulatory restrictions limit the use of real patient data for training purposes. To address this challenge, the organization plans to use AI to generate synthetic patient data that closely resembles real-world cases. This synthetic data can then be used to train AI models without compromising patient privacy.

Content Generation:
The organization is looking to automate the creation of medical documentation, such as clinical notes and reports, using AI-powered natural language generation algorithms. By automating this process, healthcare providers can save time and focus on delivering high-quality care to patients. Additionally, AI-generated documentation can ensure consistency and accuracy across different providers and medical facilities.

Large Language Models:
The organization sees the potential of large language models (LLM) in transforming the way medical professionals interact with electronic health records and medical information. By leveraging LLM, healthcare providers can access and retrieve relevant information from vast amounts of medical literature and documentation quickly and efficiently. This can help improve diagnosis, treatment planning, and research efforts within the organization.

To implement these AI-based solutions, the healthcare organization plans to utilize a variety of AI technologies, including data normalization algorithms, synthetic data generation models, natural language generation engines, and large language models. Additionally, they will leverage platforms such as Flutter, Dialogflow, and Firebase to build and deploy AI-powered applications that seamlessly integrate with their existing healthcare systems.

By embracing AI for healthcare, the organization aims to improve patient care, increase operational efficiency, and drive innovation in the field of medicine. They recognize the importance of ethical and responsible AI implementation and are committed to ensuring that AI technologies are used in a way that benefits both patients and healthcare providers. Through these strategic initiatives, the organization aims to position itself as a leader in AI-driven healthcare innovation and set new standards for leveraging technology to improve the delivery of healthcare services.

Posted by ITU Pictures on 2018-09-28 12:43:58

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