Medical Informatics III

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CHAPTER


DOI :10.26650/B/ET07.2023.005.08   IUP :10.26650/B/ET07.2023.005.08    Full Text (PDF)

Radiomics

Merve Gülbiz Dağoğlu Kartal, Sena Azamat

Nowadays, artificial intelligence and machine learning are used in different fields from engineering to industry, from medical applications to education. Especially in medicine, artificial intelligence and machine learning applications, which were started in the field of radiodiagnostics, found a place in pathology and radiotherapy in a concise time. In addition, it is used as a scale that guides the physician in the determination of risky operations and people in many branches of medicine. It has found widespread use in the rapid scanning of preparations and images, especially in the field of pathology and radiology, and has been put into practice. Artificial intelligence and machine learning applications in the field of genetics started with the human genome project and are now widely used in bioinformatics analysis applications related to all genetic studies and all sequencing technologies. Artificial intelligence and machine learning applications have been developed to blend and process Big data and clinical data derived from these genetic analyses and to use the results obtained in diagnosis, treatment, and follow-up of the disease. The use of artificial intelligence and machine learning in medical applications is becoming more and more common. In this review, applications of artificial intelligence and machine learning in medicine are briefly and simply mentioned.


Keywords: Radiomics, artificial intelligence, medical imaging, precision medicine, data mining
DOI :10.26650/B/ET07.2023.005.08   IUP :10.26650/B/ET07.2023.005.08    Full Text (PDF)

Radyomiks

Merve Gülbiz Dağoğlu Kartal, Sena Azamat

Günümüzde yapay zeka ve makine öğrenmesi mühendislikten endüstriye, tıp uygulamalarından eğitime kadar farklı alanlarda kullanılmaktadır. Özellikle tıpta öncelikle radyodiyagnostik alanda başlatılan yapay zeka ve makine öğrenmesi uygulamaları, çok kısa zamanda patoloji ve radyoterapi alanlarında da yer bulmuştur. Bundan başka birçok tıp dalında riskli operasyonların ve kişilerin belirlenmesinde hekime yol gösteren ölçekler olarak kullanılmaktadır. Özellikle patoloji ve radyoloji alanında preparatların ve görüntülerin hızlı taranmasında yaygın kullanım alanı bulmuş ve pratiğe girmiş durumdadır. Genetik alanında yapay zeka ve makine öğrenmesi uygulamaları insan genom projesi ile başlamış olup şu anda tüm genetik çalışmalar ile tüm dizileme teknolojilerine ilişkin biyoenformatik analiz uygulamalarında yaygın olarak kullanılmaktadır. Hali hazırda bu genetik analizlerden türetilen büyük veri (big data) ve klinik verilerin harmanlanarak işlenmesi ve buradan çıkarılan sonuçların tanı, tedavi ve hastalığın takibinde kullanılmasına ilişkin yapay zeka ve makine öğrenmesi uygulamaları geliştirilmiş durumdadır. Yapay zeka ve makine öğrenmesinin tıp uygulamalarında kullanım alanı giderek yaygınlaşmaktadır. Bu derlemede yapay zeka ve makine öğrenmesinin tıpta yer bulmuş uygulamalarından kısa ve basitçe bahsedilmiştir. 


Keywords: Radyomiks, yapay zekâ, tıbbi görüntüleme, kişiselleştirilmiş tıp, veri madenciliği

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