{"id":3588,"date":"2024-12-25T16:47:33","date_gmt":"2024-12-25T13:47:33","guid":{"rendered":"https:\/\/anovatorturkiye.com\/?p=3588"},"modified":"2024-12-25T16:54:19","modified_gmt":"2024-12-25T13:54:19","slug":"vucut-analizinde-yapay-zekanin-yukselisi","status":"publish","type":"post","link":"https:\/\/anovatorturkiye.com\/en\/vucut-analizinde-yapay-zekanin-yukselisi\/","title":{"rendered":"The Rise of Artificial Intelligence in Body Analysis"},"content":{"rendered":"

A New Era in Health Technologies<\/strong><\/h2>\n\n\n\n

Health technologies have undergone a significant transformation in the last decade, accelerating the development of artificial intelligence (AI)-supported systems. This change has transformed traditional methods such as body analyzers from devices that only provide physical measurements into comprehensive health assessment and individual health management tools. Artificial intelligence not only analyzes measurement data; It also provides individuals with customized recommendations, makes it easier to achieve health goals, and supports healthcare professionals in making better decisions.<\/p>\n\n\n\n

\n\n\n\n

The Role of Artificial Intelligence in Body Analysis<\/strong><\/h3>\n\n\n\n
Deeper and Comprehensive Analysis<\/strong><\/h5>\n\n\n\n

Traditional body analyzers were based on mechanical systems that could make basic measurements such as weight, fat percentage, muscle mass and water percentage. However, these devices provided only a superficial assessment of the data. New generation devices equipped with artificial intelligence have the capacity to make sense of this data, create context and offer user-specific solutions.<\/p>\n\n\n\n

Artificial intelligence algorithms can quickly analyze large amounts of data to evaluate an individual's health history, current condition, and potential risk factors. For example, based on a user's regular measurement results, it can predict weight loss or muscle gain trends and make recommendations accordingly. This not only increases the meaning of the data, but also makes it more accessible for individuals to achieve their wellness goals.<\/p>\n\n\n\n

Personalized Health Management<\/strong><\/h5>\n\n\n\n

Yapay zeka, her bireyin benzersiz sa\u011fl\u0131k ihtiya\u00e7lar\u0131na uygun \u00f6neriler geli\u015ftirebilir. Bu, standart bir \u00f6l\u00e7\u00fcmden elde edilen veriler yerine, ki\u015finin genetik yap\u0131s\u0131, ya\u015f, cinsiyet, ya\u015fam tarz\u0131 ve ge\u00e7mi\u015f sa\u011fl\u0131k verilerine dayal\u0131 olarak \u00f6zelle\u015ftirilmi\u015f \u00e7\u00f6z\u00fcmler sunar. \u00d6rne\u011fin, bir kullan\u0131c\u0131 kas k\u00fctlesini art\u0131rmak istiyorsa, yapay zeka, kullan\u0131c\u0131n\u0131n kas yo\u011funlu\u011funu analiz ederek egzersiz ve beslenme \u00f6nerileri sunabilir.<\/p>\n\n\n\n

\n\n\n\n

Applications of Artificial Intelligence in Body Analysis<\/strong><\/h3>\n\n\n\n
\n
1. Advanced Body Composition Analysis<\/strong><\/h5>\n\n\n\n

Artificial intelligence can analyze the body more deeply, offering insight beyond traditional methods. For example, instead of simply determining body fat percentage, it can also show how that fat is distributed throughout the body. This information is of great importance in determining critical health indicators such as visceral fat percentage. Visceral fat is associated with serious health problems such as cardiovascular diseases, diabetes and metabolic syndrome. By interpreting this data, artificial intelligence can help individuals optimize their lifestyles.<\/p>\n\n\n\n

2. Posture Analysis<\/strong><\/h5>\n\n\n\n

Artificial intelligence can perform posture analysis by integrating into body analysis devices. These systems detect users' posture disorders and help them develop correct sitting, standing and movement habits. Additionally, these analyzes provide valuable information for physiotherapists and orthopedic specialists.<\/p>\n\n\n\n

3. Prediction of Health Risks<\/strong><\/h5>\n\n\n\n

Artificial intelligence can predict users' health risks by working on large data sets. For example, it can predict weight gain for individuals prone to obesity or provide early warnings for individuals at risk of muscle wasting. Such proactive approaches allow users to take precautions before health problems arise.<\/p>\n\n\n\n

4. Exercise and Diet Recommendations<\/strong><\/h5>\n\n\n\n

AI-powered devices can offer users personalized exercise and diet plans based on measurement results. These systems take into account the user's goals and make recommendations about daily calorie intake, protein amount or workout times. This feature is a great advantage, especially for athletes and individuals with weight management goals.<\/p>\n<\/blockquote>\n\n\n\n

\n\n\n\n

Benefits of Artificial Intelligence to Healthcare Professionals<\/strong><\/h3>\n\n\n\n

Healthcare professionals can benefit greatly from AI-powered body analyzers. Dietitians, physiotherapists and sports trainers can evaluate their clients' health conditions more comprehensively and create more effective plans accordingly. For example:<\/p>\n\n\n\n

\n
    \n
  • Dietitians can create customized diet plans based on their clients' metabolic rate and body composition.<\/li>\n\n\n\n
  • Fitness trainers can determine in which areas users gain muscle or in which areas require fat loss.<\/li>\n\n\n\n
  • Physiotherapists can optimize rehabilitation programs through data such as posture analysis and muscle density.<\/li>\n<\/ul>\n<\/blockquote>\n\n\n\n
    \n\n\n\n

    The Future of Artificial Intelligence: Devices That Deliver More<\/strong><\/h3>\n\n\n\n

    The Future of Artificial Intelligence: Devices That Deliver More<\/p>\n\n\n\n

    \n

    Genetic Data Integration:<\/strong> More comprehensive analyzes can be made by combining users' genetic predispositions with artificial intelligence algorithms.<\/p>\n\n\n\n

    Genetik Veri Entegrasyonu:<\/strong> Kullan\u0131c\u0131lar\u0131n genetik yatk\u0131nl\u0131klar\u0131, yapay zeka algoritmalar\u0131 ile birle\u015ftirilerek daha kapsaml\u0131 analizler yap\u0131labilir.<\/p>\n\n\n\n

    Sosyal Entegrasyon:<\/strong> Kullan\u0131c\u0131lar\u0131n sa\u011fl\u0131k verilerini bir sosyal a\u011f \u00fczerinden payla\u015fmas\u0131 ve bir sa\u011fl\u0131k toplulu\u011fu olu\u015fturmas\u0131 sa\u011flanabilir.<\/p>\n<\/blockquote>\n\n\n\n

    Yapay zeka, v\u00fccut analiz cihazlar\u0131n\u0131 yaln\u0131zca bir \u00f6l\u00e7\u00fcm arac\u0131 olmaktan \u00e7\u0131kar\u0131p, bireylerin sa\u011fl\u0131klar\u0131n\u0131 daha bilin\u00e7li bir \u015fekilde y\u00f6netmelerine yard\u0131mc\u0131 olan bir teknoloji haline getirmi\u015ftir. Geli\u015fmi\u015f analizler, ki\u015fiselle\u015ftirilmi\u015f sa\u011fl\u0131k \u00f6nerileri ve sa\u011fl\u0131k profesyonelleri i\u00e7in sundu\u011fu avantajlar, yapay zeka destekli sistemleri sa\u011fl\u0131k sekt\u00f6r\u00fcnde vazge\u00e7ilmez bir ara\u00e7 haline getirmi\u015ftir.<\/p>\n\n\n\n

    In this era where health technologies are rapidly advancing, the rise of artificial intelligence in body analysis will continue to play an important role in improving the quality of life of individuals. These systems not only understand current health status but also make it easier to achieve future health goals. While the opportunities offered by artificial intelligence create a revolutionary change in the field of health, the effects of this change are felt by individuals and throughout society.<\/p>","protected":false},"excerpt":{"rendered":"

    Sa\u011fl\u0131k Teknolojilerinde Yeni Bir D\u00f6nem Sa\u011fl\u0131k teknolojileri son on y\u0131lda \u00f6nemli bir d\u00f6n\u00fc\u015f\u00fcm ge\u00e7irerek yapay zeka (AI) destekli sistemlerin geli\u015fimini h\u0131zland\u0131rd\u0131. Bu de\u011fi\u015fim, v\u00fccut analiz cihazlar\u0131 gibi geleneksel y\u00f6ntemleri yaln\u0131zca fiziksel \u00f6l\u00e7\u00fcmleri sa\u011flayan cihazlar olmaktan \u00e7\u0131kar\u0131p, kapsaml\u0131 sa\u011fl\u0131k de\u011ferlendirmesi ve bireysel sa\u011fl\u0131k y\u00f6netimi ara\u00e7lar\u0131na d\u00f6n\u00fc\u015ft\u00fcrd\u00fc. Yapay zeka, yaln\u0131zca \u00f6l\u00e7\u00fcm verilerini analiz etmekle kalmaz; ayn\u0131 zamanda bireylere \u00f6zelle\u015ftirilmi\u015f \u00f6neriler sunar, sa\u011fl\u0131k hedeflerine ula\u015fmay\u0131 kolayla\u015ft\u0131r\u0131r ve sa\u011fl\u0131k profesyonellerinin daha iyi kararlar almas\u0131n\u0131 destekler. V\u00fccut Analizinde Yapay Zekan\u0131n Rol\u00fc Daha Derin ve Kapsaml\u0131 Analizler Geleneksel v\u00fccut analiz cihazlar\u0131, a\u011f\u0131rl\u0131k, ya\u011f oran\u0131, kas k\u00fctlesi ve su oran\u0131 gibi temel \u00f6l\u00e7\u00fcmleri yapabilen mekanik sistemlere dayan\u0131yordu. Ancak bu cihazlar, verilerin yaln\u0131zca y\u00fczeysel bir de\u011ferlendirmesini sa\u011fl\u0131yordu. Yapay zeka ile donat\u0131lm\u0131\u015f yeni nesil cihazlar ise bu verileri anlamland\u0131rma, ba\u011flam olu\u015fturma ve kullan\u0131c\u0131ya \u00f6zel \u00e7\u00f6z\u00fcmler sunma kapasitesine sahiptir. Yapay zeka algoritmalar\u0131, b\u00fcy\u00fck miktardaki veriyi h\u0131zl\u0131 bir \u015fekilde analiz ederek bireyin sa\u011fl\u0131k ge\u00e7mi\u015fini, mevcut durumunu ve potansiyel risk fakt\u00f6rlerini de\u011ferlendirebilir. \u00d6rne\u011fin, bir kullan\u0131c\u0131n\u0131n d\u00fczenli \u00f6l\u00e7\u00fcm sonu\u00e7lar\u0131na dayanarak, kilo kayb\u0131 ya da kas kazan\u0131m\u0131 e\u011filimlerini tahmin edebilir ve bu do\u011frultuda \u00f6nerilerde bulunabilir. Bu, yaln\u0131zca verilerin anlam\u0131n\u0131 art\u0131rmakla kalmaz, ayn\u0131 zamanda bireylerin sa\u011fl\u0131kl\u0131 ya\u015fam hedeflerine ula\u015fmas\u0131n\u0131 daha eri\u015filebilir k\u0131lar. Ki\u015fiselle\u015ftirilmi\u015f Sa\u011fl\u0131k Y\u00f6netimi Yapay zeka, her bireyin benzersiz sa\u011fl\u0131k ihtiya\u00e7lar\u0131na uygun \u00f6neriler geli\u015ftirebilir. Bu, standart bir \u00f6l\u00e7\u00fcmden elde edilen veriler yerine, ki\u015finin genetik yap\u0131s\u0131, ya\u015f, cinsiyet, ya\u015fam tarz\u0131 ve ge\u00e7mi\u015f sa\u011fl\u0131k verilerine dayal\u0131 olarak \u00f6zelle\u015ftirilmi\u015f \u00e7\u00f6z\u00fcmler sunar. \u00d6rne\u011fin, bir kullan\u0131c\u0131 kas k\u00fctlesini art\u0131rmak istiyorsa, yapay zeka, kullan\u0131c\u0131n\u0131n kas yo\u011funlu\u011funu analiz ederek egzersiz ve beslenme \u00f6nerileri sunabilir. Yapay Zekan\u0131n V\u00fccut Analizindeki Uygulamalar\u0131 1. Geli\u015fmi\u015f V\u00fccut Kompozisyon Analizi Yapay zeka, geleneksel y\u00f6ntemlerin \u00f6tesinde bir anlay\u0131\u015f sunarak v\u00fccudu daha derinlemesine analiz edebilir. \u00d6rne\u011fin, yaln\u0131zca v\u00fccut ya\u011f oran\u0131n\u0131 belirlemek yerine, bu ya\u011f\u0131n v\u00fccutta nas\u0131l da\u011f\u0131ld\u0131\u011f\u0131n\u0131 da g\u00f6sterebilir. Bu bilgi, visseral ya\u011f oran\u0131 gibi kritik sa\u011fl\u0131k g\u00f6stergelerinin tespitinde b\u00fcy\u00fck \u00f6nem ta\u015f\u0131r. Visseral ya\u011f, kardiyovask\u00fcler hastal\u0131klar, diyabet ve metabolik sendrom gibi ciddi sa\u011fl\u0131k sorunlar\u0131yla ili\u015fkilidir. Yapay zeka, bu verileri yorumlayarak bireylerin ya\u015fam tarzlar\u0131n\u0131 optimize etmelerine yard\u0131mc\u0131 olabilir. 2. Post\u00fcr (Duru\u015f) Analizi Yapay zeka, v\u00fccut analiz cihazlar\u0131na entegre edilerek post\u00fcr analizi yapabilir. Kullan\u0131c\u0131lar\u0131n duru\u015f bozukluklar\u0131n\u0131 tespit eden bu sistemler, do\u011fru oturma, ayakta durma ve hareket etme al\u0131\u015fkanl\u0131klar\u0131 geli\u015ftirmelerine yard\u0131mc\u0131 olur. Ayr\u0131ca, bu analizler fizyoterapistler ve ortopedi uzmanlar\u0131 i\u00e7in de\u011ferli bilgiler sa\u011flar. 3. Sa\u011fl\u0131k Risklerinin \u00d6ng\u00f6r\u00fcs\u00fc Yapay zeka, b\u00fcy\u00fck veri k\u00fcmeleri \u00fczerinde \u00e7al\u0131\u015farak kullan\u0131c\u0131lar\u0131n sa\u011fl\u0131k risklerini tahmin edebilir. \u00d6rne\u011fin, obeziteye yatk\u0131n bireyler i\u00e7in kilo art\u0131\u015f\u0131 tahmini yapabilir ya da kas kayb\u0131 riski ta\u015f\u0131yan bireyler i\u00e7in erken uyar\u0131lar sa\u011flayabilir. Bu t\u00fcr proaktif yakla\u015f\u0131mlar, kullan\u0131c\u0131lar\u0131n sa\u011fl\u0131k sorunlar\u0131 ortaya \u00e7\u0131kmadan \u00f6nce \u00f6nlem almas\u0131na olanak tan\u0131r. 4. Egzersiz ve Diyet Tavsiyeleri Yapay zeka destekli cihazlar, kullan\u0131c\u0131lar\u0131n \u00f6l\u00e7\u00fcm sonu\u00e7lar\u0131na dayal\u0131 olarak ki\u015fiselle\u015ftirilmi\u015f egzersiz ve diyet planlar\u0131 sunabilir. Bu sistemler, kullan\u0131c\u0131n\u0131n hedeflerini dikkate alarak g\u00fcnl\u00fck kalori al\u0131m\u0131, protein miktar\u0131 veya antrenman s\u00fcreleri hakk\u0131nda \u00f6nerilerde bulunur. Bu \u00f6zellik, \u00f6zellikle sporcular ve kilo y\u00f6netimi hedefleri olan bireyler i\u00e7in b\u00fcy\u00fck bir avantajd\u0131r. Yapay Zekan\u0131n Sa\u011fl\u0131k Profesyonellerine Sa\u011flad\u0131\u011f\u0131 Faydalar Sa\u011fl\u0131k profesyonelleri, yapay zeka destekli v\u00fccut analiz cihazlar\u0131ndan b\u00fcy\u00fck \u00f6l\u00e7\u00fcde faydalanabilir. Diyetisyenler, fizyoterapistler ve spor e\u011fitmenleri, dan\u0131\u015fanlar\u0131n\u0131n sa\u011fl\u0131k durumlar\u0131n\u0131 daha kapsaml\u0131 bir \u015fekilde de\u011ferlendirebilir ve buna g\u00f6re daha etkili planlar olu\u015fturabilir. \u00d6rne\u011fin: Yapay Zekan\u0131n Gelece\u011fi: Daha Fazlas\u0131n\u0131 Sunan Cihazlar Yapay zeka destekli v\u00fccut analiz cihazlar\u0131n\u0131n gelece\u011fi, daha fazla entegrasyon ve daha ak\u0131ll\u0131 sistemlere do\u011fru ilerliyor: Ger\u00e7ek Zamanl\u0131 Geri Bildirim: Anl\u0131k analiz ve \u00f6nerilerle kullan\u0131c\u0131lar\u0131n sa\u011fl\u0131k durumlar\u0131 hakk\u0131nda an\u0131nda bilgi almas\u0131 m\u00fcmk\u00fcn hale gelebilir. Genetik Veri Entegrasyonu: Kullan\u0131c\u0131lar\u0131n genetik yatk\u0131nl\u0131klar\u0131, yapay zeka algoritmalar\u0131 ile birle\u015ftirilerek daha kapsaml\u0131 analizler yap\u0131labilir. Sosyal Entegrasyon: Kullan\u0131c\u0131lar\u0131n sa\u011fl\u0131k verilerini bir sosyal a\u011f \u00fczerinden payla\u015fmas\u0131 ve bir sa\u011fl\u0131k toplulu\u011fu olu\u015fturmas\u0131 sa\u011flanabilir. Yapay zeka, v\u00fccut analiz cihazlar\u0131n\u0131 yaln\u0131zca bir \u00f6l\u00e7\u00fcm arac\u0131 olmaktan \u00e7\u0131kar\u0131p, bireylerin sa\u011fl\u0131klar\u0131n\u0131 daha bilin\u00e7li bir \u015fekilde y\u00f6netmelerine yard\u0131mc\u0131 olan bir teknoloji haline getirmi\u015ftir. Geli\u015fmi\u015f analizler, ki\u015fiselle\u015ftirilmi\u015f sa\u011fl\u0131k \u00f6nerileri ve sa\u011fl\u0131k profesyonelleri i\u00e7in sundu\u011fu avantajlar, yapay zeka destekli sistemleri sa\u011fl\u0131k sekt\u00f6r\u00fcnde vazge\u00e7ilmez bir ara\u00e7 haline getirmi\u015ftir. Sa\u011fl\u0131k teknolojilerinin h\u0131zla ilerledi\u011fi bu \u00e7a\u011fda, yapay zekan\u0131n v\u00fccut analizindeki y\u00fckseli\u015fi, bireylerin ya\u015fam kalitesini art\u0131rmada \u00f6nemli bir rol oynamaya devam edecektir. Bu sistemler, sadece mevcut sa\u011fl\u0131k durumunu anlamakla kalmaz, ayn\u0131 zamanda gelecekteki sa\u011fl\u0131k hedeflerine ula\u015fmay\u0131 da kolayla\u015ft\u0131r\u0131r. Yapay zekan\u0131n sundu\u011fu olanaklar, sa\u011fl\u0131k alan\u0131nda devrim niteli\u011finde bir de\u011fi\u015fim yarat\u0131rken, bu de\u011fi\u015fimin etkileri bireylerden toplum genelinde hissedilmektedir.<\/p>","protected":false},"author":1,"featured_media":1025,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[38,39,36],"tags":[115,95,90,43,120,89,108,118,123,97,64,88,94,99,121,54,91,83,122,92],"table_tags":[],"class_list":["post-3588","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-anovator-teknolojisi","category-saglik","category-vucut-analiz-cihazlari","tag-akilli-tartilar","tag-anovator","tag-bolgesel-vucut-analizi","tag-dijital-saglik","tag-egzersiz-tavsiyeleri","tag-fitness-ve-saglik","tag-kalori-hesaplama","tag-kas-ve-yag-orani","tag-kisisellestirilmis-saglik-onerileri","tag-modern-tarti-sistemleri","tag-postur-analizi","tag-saglik-takibi","tag-saglik-teknolojileri","tag-saglik-ve-teknoloji","tag-saglikli-vucut-kompozisyonu","tag-saglikli-yasam","tag-tarti-teknolojisi","tag-vucut-analiz-cihazlari","tag-yapay-zeka-destekli-saglik","tag-yapay-zeka-ile-vucut-analizi"],"blocksy_meta":[],"rttpg_featured_image_url":{"full":["https:\/\/anovatorturkiye.com\/wp-content\/uploads\/2024\/10\/anovator-cihazlar-2-scaled.jpg",2560,2543,false],"landscape":["https:\/\/anovatorturkiye.com\/wp-content\/uploads\/2024\/10\/anovator-cihazlar-2-scaled.jpg",2560,2543,false],"portraits":["https:\/\/anovatorturkiye.com\/wp-content\/uploads\/2024\/10\/anovator-cihazlar-2-scaled.jpg",2560,2543,false],"thumbnail":["https:\/\/anovatorturkiye.com\/wp-content\/uploads\/2024\/10\/anovator-cihazlar-2-150x150.jpg",150,150,true],"medium":["https:\/\/anovatorturkiye.com\/wp-content\/uploads\/2024\/10\/anovator-cihazlar-2-300x298.jpg",300,298,true],"large":["https:\/\/anovatorturkiye.com\/wp-content\/uploads\/2024\/10\/anovator-cihazlar-2-1024x1017.jpg",1024,1017,true],"1536x1536":["https:\/\/anovatorturkiye.com\/wp-content\/uploads\/2024\/10\/anovator-cihazlar-2-1536x1526.jpg",1536,1526,true],"2048x2048":["https:\/\/anovatorturkiye.com\/wp-content\/uploads\/2024\/10\/anovator-cihazlar-2-2048x2034.jpg",2048,2034,true],"trp-custom-language-flag":["https:\/\/anovatorturkiye.com\/wp-content\/uploads\/2024\/10\/anovator-cihazlar-2-scaled.jpg",12,12,false]},"rttpg_author":{"display_name":"AnovatorTurkiye","author_link":"https:\/\/anovatorturkiye.com\/en\/author\/u1961862\/"},"rttpg_comment":1,"rttpg_category":"Anovator Teknolojisi<\/a> Sa\u011fl\u0131k<\/a> V\u00fccut Analiz Cihazlar\u0131<\/a>","rttpg_excerpt":"Sa\u011fl\u0131k Teknolojilerinde Yeni Bir D\u00f6nem Sa\u011fl\u0131k teknolojileri son on y\u0131lda \u00f6nemli bir d\u00f6n\u00fc\u015f\u00fcm ge\u00e7irerek yapay zeka (AI) destekli sistemlerin geli\u015fimini h\u0131zland\u0131rd\u0131. Bu de\u011fi\u015fim, v\u00fccut analiz cihazlar\u0131 gibi geleneksel y\u00f6ntemleri yaln\u0131zca fiziksel \u00f6l\u00e7\u00fcmleri sa\u011flayan cihazlar olmaktan \u00e7\u0131kar\u0131p, kapsaml\u0131 sa\u011fl\u0131k de\u011ferlendirmesi ve bireysel sa\u011fl\u0131k y\u00f6netimi ara\u00e7lar\u0131na d\u00f6n\u00fc\u015ft\u00fcrd\u00fc. Yapay zeka, yaln\u0131zca \u00f6l\u00e7\u00fcm verilerini analiz etmekle kalmaz; ayn\u0131 zamanda…","_links":{"self":[{"href":"https:\/\/anovatorturkiye.com\/en\/wp-json\/wp\/v2\/posts\/3588","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/anovatorturkiye.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/anovatorturkiye.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/anovatorturkiye.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/anovatorturkiye.com\/en\/wp-json\/wp\/v2\/comments?post=3588"}],"version-history":[{"count":1,"href":"https:\/\/anovatorturkiye.com\/en\/wp-json\/wp\/v2\/posts\/3588\/revisions"}],"predecessor-version":[{"id":3593,"href":"https:\/\/anovatorturkiye.com\/en\/wp-json\/wp\/v2\/posts\/3588\/revisions\/3593"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/anovatorturkiye.com\/en\/wp-json\/wp\/v2\/media\/1025"}],"wp:attachment":[{"href":"https:\/\/anovatorturkiye.com\/en\/wp-json\/wp\/v2\/media?parent=3588"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/anovatorturkiye.com\/en\/wp-json\/wp\/v2\/categories?post=3588"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/anovatorturkiye.com\/en\/wp-json\/wp\/v2\/tags?post=3588"},{"taxonomy":"table_tags","embeddable":true,"href":"https:\/\/anovatorturkiye.com\/en\/wp-json\/wp\/v2\/table_tags?post=3588"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}