Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the health-check domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/u347700914/domains/themoneyoffice.com/public_html/wp-includes/functions.php on line 6121

WordPress database error: [Table 'u347700914_MNO.TM_actionscheduler_actions' doesn't exist]
SELECT a.action_id FROM TM_actionscheduler_actions a LEFT JOIN TM_actionscheduler_groups g ON g.group_id=a.group_id WHERE 1=1 AND g.slug='image-optimization/cleanup' AND a.hook='image-optimization/cleanup/stuck-operation' AND a.args='[]' AND a.status IN ('pending') ORDER BY a.scheduled_date_gmt ASC LIMIT 0, 1

WordPress database error: [Table 'u347700914_MNO.TM_actionscheduler_groups' doesn't exist]
SELECT group_id FROM TM_actionscheduler_groups WHERE slug='image-optimization/cleanup'

WordPress database error: [Table 'u347700914_MNO.TM_actionscheduler_groups' doesn't exist]
SHOW FULL COLUMNS FROM `TM_actionscheduler_groups`

WordPress database error: [Table 'u347700914_MNO.TM_actionscheduler_actions' doesn't exist]
INSERT INTO TM_actionscheduler_actions ( `hook`, `status`, `scheduled_date_gmt`, `scheduled_date_local`, `schedule`, `group_id`, `priority`, `args` ) SELECT 'image-optimization/cleanup/stuck-operation', 'pending', '2025-06-28 20:10:37', '2025-06-28 21:10:37', 'O:32:\"ActionScheduler_IntervalSchedule\":5:{s:22:\"\0*\0scheduled_timestamp\";i:1751141437;s:18:\"\0*\0first_timestamp\";i:1751141437;s:13:\"\0*\0recurrence\";i:300;s:49:\"\0ActionScheduler_IntervalSchedule\0start_timestamp\";i:1751141437;s:53:\"\0ActionScheduler_IntervalSchedule\0interval_in_seconds\";i:300;}', 0, 10, '[]' FROM DUAL WHERE ( SELECT NULL FROM DUAL ) IS NULL

WordPress database error: [Table 'u347700914_MNO.TM_actionscheduler_actions' doesn't exist]
SELECT a.action_id FROM TM_actionscheduler_actions a WHERE 1=1 AND a.hook='action_scheduler/migration_hook' AND a.status IN ('in-progress') ORDER BY a.scheduled_date_gmt ASC LIMIT 0, 1

WordPress database error: [Table 'u347700914_MNO.TM_actionscheduler_actions' doesn't exist]
SELECT a.action_id FROM TM_actionscheduler_actions a WHERE 1=1 AND a.hook='action_scheduler/migration_hook' AND a.status IN ('pending') ORDER BY a.scheduled_date_gmt ASC LIMIT 0, 1

ChatGPT’s Fitness Advice Falls Short of Medical Standards, Study Reveals – All about Money

ChatGPT’s Fitness Advice Falls Short of Medical Standards, Study Reveals

When technology and health intersect, the outcomes can be groundbreaking or, as recent research shows, a cautionary tale. A study published in JMIR Medical Education journal sheds light on how ChatGPT’s exercise recommendations stack up against the American College of Sports Medicine’s Guidelines. Researchers sought to understand whether AI could match the gold standard in fitness guidance, uncovering results that prompt a deeper consideration of AI’s role in health advice.

Accuracy and Comprehensiveness Under Scrutiny

The study embarked on an ambitious task, prompting ChatGPT to devise workout plans for 26 distinct demographics outlined in the American College of Sports Medicine’s guidelines. These groups ranged from healthy adults to individuals with specific health conditions like cardiovascular disease and obesity. Surprisingly, ChatGPT’s responses boasted a 90.7 percent accuracy rate when measured against the guidelines. However, the devil lies in the details—or in this case, the lack thereof. The AI’s recommendations covered only 41.2 percent of the comprehensive guidelines, leaving significant gaps in its advice.

Misinformation and Inaccessibility

More concerning was the misinformation generated by ChatGPT, particularly for individuals with hypertension, fibromyalgia, and cancer. The inaccuracies were most stark for those with hypertension, with ChatGPT sometimes advising against vigorous exercises that, according to health standards, would be beneficial. Additionally, the AI frequently suggested seeking medical clearance before starting exercise routines, a recommendation unnecessary for many of the populations studied. This conservative approach could deter people from exercising, potentially leading to more harm than good. Moreover, the readability of the recommendations was found wanting, with a complexity level akin to college textbooks, making the information less accessible to the general public.

Proceed with Caution

In light of these findings, the conclusion is clear: while AI like ChatGPT can play a supportive role in health and fitness, it cannot yet replace the nuanced and personalized advice that healthcare professionals provide. The study’s authors caution against relying solely on AI for exercise guidance and call for further research into the appropriateness, costs, and feasibility of such technology in healthcare. As AI continues to evolve, its potential to assist in healthcare is undeniable, but this research underscores the importance of proceeding with caution and ensuring AI applications meet high standards of accuracy and comprehensiveness.

The implications of this study reach beyond just exercise recommendations. They touch on broader themes of trust in AI-generated health advice and the critical need for ongoing evaluation and improvement of AI technologies in healthcare. As we navigate this promising yet precarious intersection of AI and health, the goal should remain clear: leveraging technology to enhance, not undermine, health outcomes.

Share this article