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AI-Augmented Literature Reviews

ISPOR 2026: AI-Augmented Reviews—A Multi-Project Analysis of Speed, Accuracy, and Workflow

AI-augmented literature reviews are transforming evidence generation across life sciences. This blog explores multi-project analysis of AI-assisted literature reviews. It examines improvements in review speed, screening accuracy, traceability, and workflow efficiency while maintaining rigorous human oversight for submission-ready outcomes. For teams in health economics and outcomes research (HEOR), regulatory affairs, and evidence generation, systematic literature…

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Identifying Drug Repurposing Opportunities with AI Literature Review

ISPOR 2026: Identifying Drug Repurposing Opportunities with AI Literature Review

AI-Assisted Drug Repurposing What if the next breakthrough treatment is already available today, hidden within existing drugs and waiting to be discovered? This question drives the growing field of AI-assisted drug repurposing, a smart and cost-effective strategy that looks for new therapeutic uses for approved medications. Unlike traditional drug development, which can cost billions and…

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Evaluating the MadeAi Platform for Literature Screening of a Class II Medical Device

ISPOR 2026: Evaluating MadeAi for Literature Screening of a Class II Medical Device

What is AI-assisted literature screening for Class II medical devices? AI Literature Screening for Medical Devices is the application of artificial intelligence to identify, review, classify, and prioritize scientific literature relevant to a medical device. This reduces the manual effort required for evidence generation and regulatory review workflows. For instance, AI analyzes titles, abstracts, and…

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The AI Evaluation Problem in Evidence Synthesis

The AI Evaluation Problem in Evidence Synthesis

Why the Industry is Testing the Wrong Thing The life sciences industry faces a growing paradox: organizations are investing heavily in AI, yet many evaluation methods fail to measure how these systems actually perform in real-world evidence synthesis workflows. Every week, new evaluations emerge, and task forces publish guidelines. Academic papers rank AI tools. Organizations…

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systematic-literature-review-process

How to Do an AI-Assisted Systematic Literature Review: A Step-by-Step Guide

The Systematic Literature Review Definition: Systematic Literature Review (SLR) is a rigorous, structured, and transparent process of identifying, analyzing, and synthesizing all existing research on a clearly defined question or topic, providing a comprehensive summary and critical evaluation of the evidence. If you’ve ever tried to pull together evidence for a big research question, you’ll…

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