Vu, Tri LocNguyen, ThachNguyen, HienMihas, ImranCao, Van ThinhZuin, MarcoRigatelli, Gianluca2023-05-182022-10-09Vu, Loc, Thach Nguyen, Hien Q Nguyen, Imran Mihas, Thinh Van Cao, Marco Zuin, and Gianluca Rigatelli. 2022. “Training the Machine Learning Programs to Measure the Arterial Phase and Identify the Types of Coronary Flow”. TTU Journal of Biomedical Sciences 1 (1):25-28. https://doi.org/10.53901/tjbs.2022.10.art04.https://nrs.harvard.edu/URN-3:HUL.INSTREPOS:37375236Coronary artery disease (CAD) is one of the most common and severe medical conditions worldwide. The current research focused on investigating the mechanisms and prevention of the detrimental effects of CAD. Recently, the principles and practices of fluid mechanics were used to explain the formation of CAD with the help of a new angiographic recording and reviewing technique. This new method focused on identifying the types of blood flows and their effects on the intima. To automate the process, an Artificial Intelligence program was utilized to support the investigators in reviewing coronary flow. This paper analyzes AI methods that assisted physician investigators in the measurement of the arterial phase and in the identification of the types of coronary flows.en-USPhysical Therapy, Sports Therapy and RehabilitationOrthopedics and Sports MedicinePhilosophySociology and Political ScienceGeneral Business, Management and AccountingHealth, Toxicology and MutagenesisToxicologyGeneral Pharmacology, Toxicology and PharmaceuticsImmunologyPharmacologyImmunologyImmunology and AllergyGeneral Computer ScienceHuman-Computer InteractionApplied PsychologyGeneral MedicineApplied PsychologySocial PsychologyJournal Article2023-05-1810.53901/tjbs.2022.10.art04Loc T Vu, Thach Nguyen, Hien Q Nguyen, Imran Mihas, Cao Van Thinh, Marco Zuin, and Gianluca Rigatelli. Training the Machine Learning Programs to Measure the Arterial Phase and Identify the Types of Coronary Flow TTU Journal of Biomedical Sciences 2022, 01:25-28 https://doi.org/10.53901/tjbs.2022.10.art04