Slim with AI: These tricks help you lose weight without a yo-yo effect!

Slim with AI: These tricks help you lose weight without a yo-yo effect!

Wien, Österreich - The use of artificial intelligence (AI) in nutrition is increasingly well received, as Dr. Guido Rohrer, a Viennese doctor and radiologist, show. According to OE24, a test patient has decreased by the use of chatt. Dr. Rohrer has published the book "Computing you slim" on this topic, in which he describes the medical possibilities of AI in detail in the weight loss advice.

A central concern of Dr. Rohrer is the creation of individual nutrition plans based on a variety of personal data. The AI not only takes into account the physiological constitution, but also the metabolism, genetic factors and the individual lifestyle of the user. This personalized approach aims to avoid cravings and exclude the dreaded yo-yo effect.

Effective strategies for the succession success

In his work, Dr. Rohrer 15 rules for the effective use of AI when losing weight, which are also helpful for beginners. The first steps include a health check, the establishment of a AI account and the definition of realistic goals, for example a weight reduction of 0.5 to 1 kg per week. The following steps include the recording of personal data such as body weight, size, age and eating habits as well as the creation of a weekly nutrition plan.

Check
• health (healthy examination, blood count, blood pressure, blood sugar).
Set up
• Ki account (e.g. Chatgpt).
Define
• realistic goal (0.5 to 1 kg per week).
• collect data and update it regularly.

The documentation of meals is essential, ideally through photos that serve as a reference. In addition, relapses should be addressed openly and the weight should be checked regularly. Dr. Rohrer recommends checking data every two weeks and carrying out long -term updates quarterly to optimize progress.

personalized nutrition and food safety

The influence of AI extends not only to individual nutritional plans, but also on food processing and security. According to the FoodinnovationCamp, KI is increasingly used to create tailor-made nutrition strategies that take into account health data, genetic information and personal preferences. Apps such as MyFooddoctor enable users to receive personalized advice based on their specific health data.

Food security also benefits from AI techniques that enable real-time monitoring of food. Technologies for image processing can recognize contamination and quality deficiencies, which increases trust in the food industry.

Overall, the development of new AI-based approaches in the field of nutrition and health shows that these technologies have the potential to make lifestyle changes easier and to significantly improve the well-being of users.

For more information about Dr. Rohrers approaches in the nutrition, please also visit Amazon.