Wellness & Fitness
1 gain1 Trace0 problems
Every measured gain and problem on the record for this topic, newest first.Too few to weigh yet. Updated .
One square per record, darker for stronger evidence:Evidence: 0 high2 moderate0 emerging
2 records so far, too few to weigh yet. Is your study missing? Add it
AI in wellness and fitness
A Trace is one record with both a gain and a problem, so it counts on both sides: 2 records show a gain and 1 shows a problem. 2 context records are in the record list but not counted, because they report no measured gain or problem.
| Evidence | Gain side | Problem side |
|---|---|---|
| HighStrong study design, backed by at least two independent sources | 0 | 0 |
| ModerateA measured study or an official source | 2 | 1 |
| EmergingEarly, small, unreviewed or reported second-hand | 0 | 0 |
By type of evidence: 1 randomized trial; 1 benchmark or lab test. How evidence is scored
2 records so far, too few to weigh yet. A written summary appears once a topic has at least 20 counted records, with at least 5 on each side. Is your study missing? Add it
In a trial of 48 retirement-home residents aged 60-75, an exercise plan written by ChatGPT-4o and delivered by an instructor raised gait speed more than traditional balance training and cut Gait Stability Ratio the most.
In a test of 191 Spanish meal descriptions, all 20 AI model configurations gave more repeatable energy estimates for the same meal than the audited cascade comparator; the best reached a test-retest reliability (ICC) of 1.0000.
In a benchmark of 191 meal descriptions, the most repeatable model also gave the most incoherent answers: 65.58% of its responses had energy that did not match its own macronutrients under the 4/4/9 Atwater approximation, versus 3.80% for the audited cascade.
1 record
Researchers sent 191 de-identified Spanish meal descriptions, each three times at temperature 0, to 20 LLM configurations on two inference platforms, totalling 12,119 calls. They measured whether the same input produced the same number, how models agreed with one another, and whether reported energy matched reported…
Machine Learning and Knowledge Extraction
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