Archive for July 2024
The World Health Organization’s Cautious Approach to AI in Healthcare: A Continuation and Expansion of Ethical Guidelines
The World Health Organization (WHO) has long been a guiding force in global health issues, setting standards and offering recommendations to ensure the well-being and safety of populations worldwide. Recently, the organization has turned its attention towards the burgeoning field of artificial intelligence (AI), particularly focusing on large language models (LLMs) like ChatGPT, Bard, and…
Read MoreUnderstanding Confabulations in AI: Causes, Prevention, and Detection
Artificial intelligence (AI) systems are increasingly integrated into various sectors, including healthcare, finance, and customer service, making their reliability and accuracy critical. However, one lesser-known issue that can arise with AI systems is confabulation (aka hallucinations, fabrications). This blog post will delve into what confabulations in AI are, why they occur, and how they can…
Read MoreExploring the Universal Guidelines for AI and Their Impact on Global Policy
In an era dominated by rapid advancements in artificial intelligence (AI), the need for robust governance frameworks has never been more critical. The Universal Guidelines on Artificial Intelligence (UGAI) represented a pioneering effort to address the ethical, legal, and societal challenges posed by AI technologies. This article delves into the essence of the UGAI, its…
Read MoreDeveloping and Maintaining Metrics for Clinical Documentation Production and Understanding ROI in Artificial Intelligence (AI) Tools
Clinical documentation is a critical component in the healthcare and pharmaceutical industries, serving as the backbone for clinical studies, regulatory submissions, and patient care. Developing and maintaining metrics for the production of clinical documentation is essential to ensure quality, compliance, and efficiency and to be able to identify and mitigate risk during this process. When…
Read MoreUnderstanding “Human in the Loop” in AI Software and Its Crucial Role in Clinical Documentation
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). …
Read MoreInk with Integrity: Necessary Ethics in Medical Writing
In the realm of medical writing, titles like “regulatory” or “pharma” may take center stage, overshadowing the less emphasized term “ethical medical writer.” This isn’t a downplaying of significance but a recognition that ethical considerations are the cornerstone of every medical writer’s practice. Ethical conduct is an unspoken yet powerful expectation and obligation. Each medical…
Read MorePioneering Sustainable Practices in AI Technology
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…
Read MoreEmbracing Trustworthy AI: Insights from the OECD Principles
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…
Read MoreEmbracing the 11 × 11 Tipping Point: Transforming Medical Communications with AI
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…
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