Responsible AI in Evidence Synthesis: How Nested Knowledge Meets the New Standards from Cochrane Joint Statement and RAISE Guidelines
The past year has seen a surge in global attention on the responsible use of AI in systematic reviews. With Cochrane, academic groups, and regulatory-adjacent bodies releasing clearer guidance, including new summaries of the RAISE framework, research organizations are being asked to show exactly how their AI works, how it is evaluated, and where its […]
How Smart Study Type Tags Are Reinventing Evidence Synthesis
One of the features of Core Smart Tags is Smart Study Type – this refers to our AI system that automatically categorises the study type (design) of a given abstract. Knowing the study type is beneficial for a variety of reasons; most importantly filtering out studies that do not match the SLR protocol (which quite […]
The Best Questions to Ask Yourself When Starting a Review
At Nested Knowledge, we often say that the difference between a successful and failed evidence synthesis project comes down to how well the Research Question is scoped. Before even launching a review, the most important decision you can make is to clearly define what you are seeking to find and extract– and also what you […]
