https://www.ayurvedhealing.com/ai-machine-learning-ayurveda-prakriti-assessment/ Ancient Wisdom for Modern Wellness Mon, 14 Sep 2026 19:02:30 +0000 hourly 1 https://wordpress.org/?v=7.0.2 https://www.ayurvedhealing.com/ai-machine-learning-ayurveda-prakriti-assessment/#comment-661046 Mon, 14 Sep 2026 19:02:30 +0000 https://www.ayurvedhealing.com/?p=1796#comment-661046 The part about AI and Ayurveda feels realistic. The article avoids making it sound like a quick fix.

]]> https://www.ayurvedhealing.com/ai-machine-learning-ayurveda-prakriti-assessment/#comment-661045 Tue, 08 Sep 2026 16:26:21 +0000 https://www.ayurvedhealing.com/?p=1796#comment-661045 The training data for most Prakriti ML models is biased toward educated urban populations who tend to seek Ayurvedic assessment. Generalizability across socioeconomic groups is unproven.

]]> https://www.ayurvedhealing.com/ai-machine-learning-ayurveda-prakriti-assessment/#comment-661044 Mon, 07 Sep 2026 14:29:24 +0000 https://www.ayurvedhealing.com/?p=1796#comment-661044 The idea of using ML to standardize Prakriti assessment is genuinely exciting. The inter-rater variability among Ayurvedic practitioners has been a long-standing limitation.

]]> https://www.ayurvedhealing.com/ai-machine-learning-ayurveda-prakriti-assessment/#comment-15213 Sat, 05 Sep 2026 14:00:00 +0000 https://www.ayurvedhealing.com/?p=1796#comment-15213 The consent and privacy implications of collecting the kind of multimodal physiological and genomic data required for high-accuracy Prakriti classification are significant. Who owns that data and how it might be used commercially is a question the article does not address.

]]> https://www.ayurvedhealing.com/ai-machine-learning-ayurveda-prakriti-assessment/#comment-15212 Wed, 22 Jul 2026 14:00:00 +0000 https://www.ayurvedhealing.com/?p=1796#comment-15212 For someone whose Prakriti assessment changes between online questionnaires and a trained practitioner’s assessment, which should be trusted for making health decisions? The machine learning accuracy range of 72-94% means 6-28% of people are getting incorrect classification. That is clinically significant.

]]> https://www.ayurvedhealing.com/ai-machine-learning-ayurveda-prakriti-assessment/#comment-15211 Sun, 05 Jul 2026 10:00:00 +0000 https://www.ayurvedhealing.com/?p=1796#comment-15211 The AI-assisted Prakriti apps already on the market are deeply inconsistent and several have been criticized by Ayurvedic scholars for oversimplifying the assessment. Celebrating the machine learning validation without acknowledging the quality of existing implementations is misleading.

]]> https://www.ayurvedhealing.com/ai-machine-learning-ayurveda-prakriti-assessment/#comment-678084 Sun, 07 Jun 2026 15:44:57 +0000 https://www.ayurvedhealing.com/?p=1796#comment-678084 After reading I plan to look at the CCRAS Prakriti Assessment Scale portal to see how the labels are generated

]]> https://www.ayurvedhealing.com/ai-machine-learning-ayurveda-prakriti-assessment/#comment-678083 Wed, 27 May 2026 12:29:01 +0000 https://www.ayurvedhealing.com/?p=1796#comment-678083 I’m cautious about interpreting any single gene association as proof that a dosha is genetically fixed

]]> https://www.ayurvedhealing.com/ai-machine-learning-ayurveda-prakriti-assessment/#comment-678082 Sat, 16 May 2026 01:15:22 +0000 https://www.ayurvedhealing.com/?p=1796#comment-678082 Reducing lengthy questionnaires could save time for researchers studying genotype constitution links

]]> https://www.ayurvedhealing.com/ai-machine-learning-ayurveda-prakriti-assessment/#comment-678081 Mon, 04 May 2026 20:29:00 +0000 https://www.ayurvedhealing.com/?p=1796#comment-678081 It’s interesting to see algorithms used just to check consistency of scoring rather than to replace the vaidya’s judgment

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