Technology

In today’s rapid digital transformation of the clinical trials space, artificial intelligence (AI) is becoming an indispensable part of meeting business goals and improving patient care and treatment. One essential concept that bridges the evolving field of AI technology and effective human oversight required in such a regulated space is “Human in the Loop” (HITL). …

The environmental impact of artificial intelligence (AI) is increasingly scrutinized due to the significant energy consumption and carbon emissions associated with data centers and computational processes. As a product of Synterex, AgileWriter.ai embodies a unique position in the AI landscape, integrating Synterex’s rigorous sustainability practices to mitigate environmental impacts effectively. Integrating WHO’s Sustainability Framework Synterex…

Artificial intelligence (AI) continues to reshape industries, societies, and economies globally. As AI technologies evolve and integrate deeper into various sectors, establishing robust frameworks to manage their development and use becomes crucial. The Organisation for Economic Co-operation and Development (OECD) has taken significant steps in this direction with its Recommendation on Artificial Intelligence. This set…

In the rapidly evolving landscape of artificial intelligence (AI), the “11 × 11 tipping point” has emerged as a critical concept. This tipping point refers to the moment when AI technologies reach an optimal level of efficiency and effectiveness. For medical communicators and medical writers, this breakthrough represents a significant opportunity to revolutionize both content…

The United Nations General Assembly in March 2024 adopted a significant resolution aimed at leveraging artificial intelligence (AI) for sustainable development while ensuring it remains safe, secure, and trustworthy. This initiative underscores a global commitment to balancing technological advancement with ethical standards, human rights, and social inclusiveness. Unpacking the Resolution: A Commitment to Ethical AI…

In recent years, the integration of Artificial Intelligence (AI) into various sectors has sparked widespread discourse, particularly concerning its application in the medical writing field. With numerous claims suggesting that AI could potentially replace medical writers or drastically reduce the time taken to prepare regulatory documents, it’s crucial to address these assertions with a balanced…

The National Institute of Standards and Technology (NIST) has developed a comprehensive framework aimed at enhancing the trustworthiness of AI systems. This framework, known as the NIST AI Risk Management Framework (AI RMF), is designed to support stakeholders across industry, academia, and government in fostering responsible AI development and deployment. Core Components of the AI…

In today’s fast-paced world, effective time management and prioritization are crucial. Enter the Eisenhower Matrix, a powerful tool that can help you streamline your tasks and make better decisions. Named after President Dwight D. Eisenhower, this matrix categorizes tasks based on their urgency and importance, enabling you to focus on what truly matters. But did…

Implementing an AI pilot project for clinical documentation software requires meticulous planning and strategic execution. Here are the essential best practices for ensuring the success of your AI pilot project, from the initial planning stages to its full integration into existing systems. Formation of an AI Oversight Committee The journey begins with the formation of…

In the rapidly evolving field of artificial intelligence, NIST’s new Generative Artificial Intelligence (genAI) Profile guidance offers crucial strategies for managing AI risks. This post breaks down the essential tasks under four categories: Govern, Map, Measure, and Manage. Let’s delve into what each of these involves and how they can guide organizations in implementing genAI…