❄️ Not every snowflake becomes a snowman and not every model belongs in the clinic. We mapped 16 scenarios to judge when a prognostic model is “good enough to build or deploy, using a structured benefit-risk approach. #PrognosticModels #HealthcareAI #CoSyAdventcalender
👉 jmir.org/2025/1/e69341
👉 jmir.org/2025/1/e69341
To Implement or Not to Implement? A Commentary on the Pitfalls of Judging the Value and Risks of Personalized Prognostic Statistical Models
Prognostic models in medicine have garnered significant attention, with established guidelines governing their development. However, there remains a lack of clarity regarding the appropriate circumsta...
jmir.org
December 10, 2025 at 4:29 PM
❄️ Not every snowflake becomes a snowman and not every model belongs in the clinic. We mapped 16 scenarios to judge when a prognostic model is “good enough to build or deploy, using a structured benefit-risk approach. #PrognosticModels #HealthcareAI #CoSyAdventcalender
👉 jmir.org/2025/1/e69341
👉 jmir.org/2025/1/e69341
When is "good enough" actually good enough for #PrognosticModels? Our commentary tackles this question with a structured analysis of 16 scenarios + practical approaches for development decisions for healthcare-related prognostic models.
www.jmir.org/2025/1/e69341
www.jmir.org/2025/1/e69341
August 7, 2025 at 9:01 AM
When is "good enough" actually good enough for #PrognosticModels? Our commentary tackles this question with a structured analysis of 16 scenarios + practical approaches for development decisions for healthcare-related prognostic models.
www.jmir.org/2025/1/e69341
www.jmir.org/2025/1/e69341