News and Publications
ISPOR EU 2024... complete!
Another great ISPOR has left us feeling inspired and energised to tackle what’s next in HEOR! We proudly delivered the first ever ISPOR short course on Applied Generative AI for HEOR, presented our leading research on GenAI methods for HEOR and connected with many new and familiar faces. If we were not able to meet at ISPOR, click the link below to set up a call with us!
ISPOR EU 2024: Posters & Podiums
Innovations in Automated Survival Curve Selection and Reporting of Survival Analyses Through Generative AI – Read here
Revolutionizing Systematic Reviews: The Precision of LLMS in Screening Observational Studies – Read here
Assessing the Generalizability of Automating Adaptation of Excel-Based Cost-Effectiveness Models Using Generative AI – Read here
Matching Insights From Clinical Experts and Generative AI for JCA PICO Validation – Read here
Use of Generative AI for Rapid and Accurate Extraction of PICOs at Scale – Read here
Generative AI: A Novel Approach to Data Extraction for NMAs in EU JCA – Read here
ISPOR EU 2024: Posters & Podiums
Innovations in Automated Survival Curve Selection and Reporting of Survival Analyses Through Generative AI – Read here
Revolutionizing Systematic Reviews: The Precision of LLMS in Screening Observational Studies – Read here
Assessing the Generalizability of Automating Adaptation of Excel-Based Cost-Effectiveness Models Using Generative AI – Read here
Matching Insights From Clinical Experts and Generative AI for JCA PICO Validation – Read here
Use of Generative AI for Rapid and Accurate Extraction of PICOs at Scale – Read here
Generative AI: A Novel Approach to Data Extraction for NMAs in EU JCA – Read here
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ISPOR US 2024: Posters & Podiums
Improving the Performance of Generative AI to Achieve 100% Accuracy in Data Extraction – Read here
Automating Economic Modeling: Potential of Generative AI for Updating Modeling Reports – Read here
Variability and Improvements of Answers Generated with Different Versions of Large Language Models – Read here
Automated Non-Interventional Research Protocol Generation: A Case Study in Melanoma – Read here
Automating Economic Modelling: Potential of Generative AI for Updating Excel-Based Cost-Effectiveness Models – Read here
ISPOR US 2024: Posters & Podiums
Improving the Performance of Generative AI to Achieve 100% Accuracy in Data Extraction – Read here
Automating Economic Modeling: Potential of Generative AI for Updating Modeling Reports – Read here
Variability and Improvements of Answers Generated with Different Versions of Large Language Models – Read here
Automated Non-Interventional Research Protocol Generation: A Case Study in Melanoma – Read here
Automating Economic Modelling: Potential of Generative AI for Updating Excel-Based Cost-Effectiveness Models – Read here
ISPOR EU 2024... complete!
Another great ISPOR has left us feeling inspired and energised to tackle what’s next in HEOR! We proudly delivered the first ever ISPOR short course on Applied Generative AI for HEOR, presented our leading research on GenAI methods for HEOR and connected with many new and familiar faces. If we were not able to meet at ISPOR, click the link below to set up a call with us!
ISPOR EU 2024... complete!
Another great ISPOR has left us feeling inspired and energised to tackle what’s next in HEOR! We proudly delivered the first ever ISPOR short course on Applied Generative AI for HEOR, presented our leading research on GenAI methods for HEOR and connected with many new and familiar faces. If we were not able to meet at ISPOR, click the link below to set up a call with us!
Automated Mass Extraction of Over 680,000 PICOs from Clinical Study Abstracts Using Generative AI: A Proof-of-Concept Study
GenAI shows promise in automating key tasks involved in conducting SLRs, including screening, bias assessment and data extraction. This proof-of-concept study aimed to evaluate the feasibility, accuracy and efficiency of using GenAI for mass extraction of PICOs from PubMed abstracts.
Automated Mass Extraction of Over 680,000 PICOs from Clinical Study Abstracts Using Generative AI: A Proof-of-Concept Study
GenAI shows promise in automating key tasks involved in conducting SLRs, including screening, bias assessment and data extraction. This proof-of-concept study aimed to evaluate the feasibility, accuracy and efficiency of using GenAI for mass extraction of PICOs from PubMed abstracts.
ISPOR US 2024... that's a wrap!
4 Posters, 2 Podiums and 1 Best Podium Award later! We really enjoyed presenting our latest research using LLMs in HEOR. Click the link below if you are interested in discussing further.
ISPOR US 2024... that's a wrap!
4 Posters, 2 Podiums and 1 Best Podium Award later! We really enjoyed presenting our latest research using LLMs in HEOR. Click the link below if you are interested in discussing further.
Best Podium Award: ISPOR US 2024
We are very proud to share that Will Rawlinson has been awarded ISPOR US 2024's Best Podium Research Presentation! Click here to read his pioneering research on the potential of generative AI for automating economic modelling:
Best Podium Award: ISPOR US 2024
We are very proud to share that Will Rawlinson has been awarded ISPOR US 2024's Best Podium Research Presentation! Click here to read his pioneering research on the potential of generative AI for automating economic modelling:
Artificial Intelligence to Automate Network Meta-Analyses
The use of generative AI (e.g. GPT-4) to automate NMAs offers great potential to enable quicker and less costly decision making in healthcare, and this potential should be further developed, so that it might be harnessed and used to deliver faster patient access to medicines.
Artificial Intelligence to Automate Network Meta-Analyses
The use of generative AI (e.g. GPT-4) to automate NMAs offers great potential to enable quicker and less costly decision making in healthcare, and this potential should be further developed, so that it might be harnessed and used to deliver faster patient access to medicines.
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Artificial Intelligence to Automate Health Economic Modelling
Using a novel LLM-based process, we constructed the base case analyses of published three-state partitioned survival analyses in R to a high degree of accuracy, demonstrating the feasibility of using GPT-4 to automate health economic model construction.
Artificial Intelligence to Automate Health Economic Modelling
Using a novel LLM-based process, we constructed the base case analyses of published three-state partitioned survival analyses in R to a high degree of accuracy, demonstrating the feasibility of using GPT-4 to automate health economic model construction.
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