Artificial intelligence (AI) can enable Medical Affairs to auto-generate quality summaries of abstracts and full-text biomedical literature. What are the potential impacts of this technology?
AI-generated summaries of scientific and medical documents can accelerate workflows, improve decision-making, and relieve manual efforts. With auto-summaries of biomedical literature, Medical Affairs can review it faster to focus on the points that matter most.
In this free 4-page guide, you'll learn all of the essentials on AI-generated summaries for Medical Affairs.
Inside the Guide:
- Behind the AI: Learn how auto-summarization of scientific and medical documents works
- Benefits for Medical Affairs: Identify 3 key ways that AI summarization can support Medical Affairs
- Building Trust: See inside our auto-summarization experiment that tests if our AI-generated summary is distinguishable from two produced by human subject matter experts (SMEs)
Document Summarization: How does it work?
Auto-summarization is the process of using artificial intelligence (AI) to generate shorter versions of a text that contain the most essential and relevant information.
Natural Language Generation (NLG) can be used to deliver generative summarization and knowledge extraction from complex biomedical literature, trials, and content.
In this guide, we break down the process into 5 steps. See how it works.
3 Benefits of Summarizing Medical Documents with AI for Medical Affairs
How can auto-summaries support Medical Affairs? Here are 3 key ways:
1. Reduce review time: In real-world use cases, auto-summaries of medical content have shown to reduce review time by more than 60%.
2. Accelerate decision-making: When monitoring large volumes of medical literature, an effective summary can help to expedite the decision as to whether the full article text must be reviewed.
3. Improve accessibility: Generating user-focused summaries can improve the delivery of more accessible content.
Putting our Sorcero AI to the Test
In general, the quality of a summary can be hard to judge since it’s subjective. To benchmark the performance of our Sorcero AI-generated summary, we’ve tested the hypothesis:
A sufficiently “good” AI-generated summary will be indistinguishable from that produced by a human expert.
One way to measure this is through a Turing Test.
What’s a Turing Test? How did we perform one?
In this guide, you’ll learn about our method and experiment. Inside, you’ll find an original abstract taken from PubMed, and then three rewrites of that abstract.
Two have been written by Life Sciences Subject Matter Experts (SMEs). The other has been written by the Sorcero Language Intelligence platform. Do you think you can tell which has been written by the algorithm?
Speeding Up Summarization with Sorcero Clarity
At Sorcero, we help Medical Affairs generate summaries of complex biomedical literature, trials, and content.
With Intelligent Publication Monitoring (IPM) on our Clarity platform, you can get a personalized data warehouse of ranked, summarized, and tagged literature with access to 44 million publications, preprint, and citation data.
See how it works: Get introduced to our new Auto-summary v1.80 and see how Intelligent Publication Monitoring generates auto-summaries of biomedical abstracts and full-text articles by scheduling a discovery call with our team today.