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

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

The use of artificial intelligence (AI) in nutrition is becoming increasingly popular, as research by Dr. Guido Rohrer, a Viennese doctor and radiologist. According to oe24, a test patient lost an impressive 20 kg by using ChatGPT. Dr. Rohrer has published the book “Get Slim” on this topic, in which he describes in detail the medical possibilities of AI in weight loss advice.

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

Effective strategies for weight loss success

In his work, Dr. Rohrer 15 rules for effectively using AI when losing weight, which are also helpful for beginners. The first steps include a health check, setting up an AI account and setting realistic goals, such as losing weight by 0.5 to 1 kg per week. The following steps include collecting personal information such as body weight, height, age and eating habits and creating a weekly nutrition plan.

• Gesundheit prüfen (Gesundenuntersuchung, Blutbild, Blutdruck, Blutzucker).
• KI-Account einrichten (z.B. ChatGPT).
• Realistisches Ziel definieren (0,5 bis 1 kg pro Woche).
• Daten sammeln und regelmäßig aktualisieren.

It is essential to document meals, ideally through photos that serve as reference. In addition, relapses should be discussed openly and weight checked regularly. Dr. Rohrer recommends reviewing data every two weeks and performing long-term updates quarterly to optimize progress.

Personalized nutrition and food safety

The impact of AI extends not only to individual nutrition plans, but also to food processing and safety. According to foodinnovationcamp, AI is increasingly being used to create tailored nutritional strategies that take health data, genetic information and personal preferences into account. Apps like myfooddoctor allow users to receive personalized advice based on their specific health data.

Food safety also benefits from AI techniques that enable real-time monitoring of food. Image processing technologies can detect contamination and quality defects, increasing trust in the food industry.

Overall, the development of new AI-powered approaches to nutrition and health shows that these technologies have the potential to facilitate lifestyle changes and significantly improve users' well-being.

For more information about Dr. Rohrer's approaches to nutrition, please also visit Amazon.