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Browsing by Author "Jovicic, Gordana (24465471500)"

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    Publication
    AI-Driven Decision Support System for Heart Failure Diagnosis: INTELHEART Approach Towards Personalized Treatment Strategies
    (2024)
    Tomasevic, Smiljana (57430908700)
    ;
    Blagojevic, Andjela (57221644412)
    ;
    Geroski, Tijana (59248139600)
    ;
    Jovicic, Gordana (24465471500)
    ;
    Milicevic, Bogdan (57202020718)
    ;
    Prodanovic, Momcilo (56814652500)
    ;
    Kamenko, Ilija (55007497600)
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    Bajic, Bojana (57220915976)
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    Simovic, Stefan (57219778293)
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    Davidovic, Goran (14008112400)
    ;
    Ristic, Dragana Ignjatovic (55102897100)
    ;
    Preveden, Andrej (57210067874)
    ;
    Velicki, Lazar (22942501300)
    ;
    Ristic, Arsen (7003835406)
    ;
    Apostolovic, Svetlana (13610076800)
    ;
    Dolicanin, Edin (35185930200)
    ;
    Filipovic, Nenad (35749660900)
    ;
    Filipovic N.
    Heart failure is recognized as a modern epidemic and despite advances in therapy and research, heart failure still carries an ominous prognosis and a significant socioeconomic burden. The main aim of this paper is to demonstrate how novel Decision Support System (DSS) and computational platform like INTELHEART can transform the future of healthcare and early diagnosis of heart failure. The main idea is integration of patient-specific data (i.e. demographic and physical characteristics, medical history, symptoms and signs) and results obtained using existing and novel diagnostic technologies into the cloud environment. Data will be used by different tools for machine learning and computational modelling, developing virtual patient population. Moreover, voice as a biomarker will be collected among participating patients, in order to create a VoiceHeart mobile app. INTELHEART represents a transformative advancement in heart failure care, aiming to make treatment more personalized, and proactive. This initiative centers on precision medicine, using AI-driven analysis and a powerful DSS alongside the cloud-based platform and VoiceHeart mobile app to assist both clinicians and patients. Additionally, it incorporates assessments of psychological resilience and emotional well-being, addressing the oftenoverlooked mental health factors essential to comprehensive heart failure management. © 2024 IEEE.
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    Publication
    AI-Driven Decision Support System for Heart Failure Diagnosis: INTELHEART Approach Towards Personalized Treatment Strategies
    (2024)
    Tomasevic, Smiljana (57430908700)
    ;
    Blagojevic, Andjela (57221644412)
    ;
    Geroski, Tijana (59248139600)
    ;
    Jovicic, Gordana (24465471500)
    ;
    Milicevic, Bogdan (57202020718)
    ;
    Prodanovic, Momcilo (56814652500)
    ;
    Kamenko, Ilija (55007497600)
    ;
    Bajic, Bojana (57220915976)
    ;
    Simovic, Stefan (57219778293)
    ;
    Davidovic, Goran (14008112400)
    ;
    Ristic, Dragana Ignjatovic (55102897100)
    ;
    Preveden, Andrej (57210067874)
    ;
    Velicki, Lazar (22942501300)
    ;
    Ristic, Arsen (7003835406)
    ;
    Apostolovic, Svetlana (13610076800)
    ;
    Dolicanin, Edin (35185930200)
    ;
    Filipovic, Nenad (35749660900)
    ;
    Filipovic N.
    Heart failure is recognized as a modern epidemic and despite advances in therapy and research, heart failure still carries an ominous prognosis and a significant socioeconomic burden. The main aim of this paper is to demonstrate how novel Decision Support System (DSS) and computational platform like INTELHEART can transform the future of healthcare and early diagnosis of heart failure. The main idea is integration of patient-specific data (i.e. demographic and physical characteristics, medical history, symptoms and signs) and results obtained using existing and novel diagnostic technologies into the cloud environment. Data will be used by different tools for machine learning and computational modelling, developing virtual patient population. Moreover, voice as a biomarker will be collected among participating patients, in order to create a VoiceHeart mobile app. INTELHEART represents a transformative advancement in heart failure care, aiming to make treatment more personalized, and proactive. This initiative centers on precision medicine, using AI-driven analysis and a powerful DSS alongside the cloud-based platform and VoiceHeart mobile app to assist both clinicians and patients. Additionally, it incorporates assessments of psychological resilience and emotional well-being, addressing the oftenoverlooked mental health factors essential to comprehensive heart failure management. © 2024 IEEE.
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    Impact of the lower third molar presence and position on the fragility of mandibular angle and condyle: A Three-dimensional finite element study
    (2015)
    Antic, Svetlana (8243955900)
    ;
    Vukicevic, Arso M. (55568836700)
    ;
    Milasinovic, Marko (56613493800)
    ;
    Saveljic, Igor (55565816700)
    ;
    Jovicic, Gordana (24465471500)
    ;
    Filipovic, Nenad (35749660900)
    ;
    Rakocevic, Zoran (57197600169)
    ;
    Djuric, Marija (12243542300)
    The aim of the present study was to investigate the influences of the presence and position of a lower third molar (M3) on the fragility of mandibular angle and condyle, using finite element analysis. From computed tomographic scans of a human mandible with normally erupted M3, two additional virtual models were generated: a mandibular model with partially impacted M3 and a model without M3. Two cases of impact were considered: a frontal and a lateral blow. The results are based on the chromatic analysis of the distributed von Mises and principal stresses, and calculation of their failure indices. In the frontal blow, the angle region showed the highest stress in the case with partially impacted M3, and the condylar region in the case without M3. Compressive stresses were dominant but caused no failure. Tensile stresses were recorded in the retromolar areas, but caused failure only in the case with partially impacted M3. In the lateral blow, the stress concentrated at the point of impact, in the ipsilateral and contralateral angle and condylar regions. The highest stresses were recorded in the case with partially impacted M3. Tensile stresses caused the failure on the ipsilateral side, whereas compressive stresses on the contralateral side. © 2015 European Association for Cranio-Maxillo-Facial Surgery.
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    Publication
    Impact of the lower third molar presence and position on the fragility of mandibular angle and condyle: A Three-dimensional finite element study
    (2015)
    Antic, Svetlana (8243955900)
    ;
    Vukicevic, Arso M. (55568836700)
    ;
    Milasinovic, Marko (56613493800)
    ;
    Saveljic, Igor (55565816700)
    ;
    Jovicic, Gordana (24465471500)
    ;
    Filipovic, Nenad (35749660900)
    ;
    Rakocevic, Zoran (57197600169)
    ;
    Djuric, Marija (12243542300)
    The aim of the present study was to investigate the influences of the presence and position of a lower third molar (M3) on the fragility of mandibular angle and condyle, using finite element analysis. From computed tomographic scans of a human mandible with normally erupted M3, two additional virtual models were generated: a mandibular model with partially impacted M3 and a model without M3. Two cases of impact were considered: a frontal and a lateral blow. The results are based on the chromatic analysis of the distributed von Mises and principal stresses, and calculation of their failure indices. In the frontal blow, the angle region showed the highest stress in the case with partially impacted M3, and the condylar region in the case without M3. Compressive stresses were dominant but caused no failure. Tensile stresses were recorded in the retromolar areas, but caused failure only in the case with partially impacted M3. In the lateral blow, the stress concentrated at the point of impact, in the ipsilateral and contralateral angle and condylar regions. The highest stresses were recorded in the case with partially impacted M3. Tensile stresses caused the failure on the ipsilateral side, whereas compressive stresses on the contralateral side. © 2015 European Association for Cranio-Maxillo-Facial Surgery.
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    Modeling of liver metastatic disease with applied drug therapy
    (2014)
    Filipovic, Nenad (35749660900)
    ;
    Djukic, Tijana (55625822200)
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    Saveljic, Igor (55565816700)
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    Milenkovic, Petar (35574505300)
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    Jovicic, Gordana (24465471500)
    ;
    Djuric, Marija (12243542300)
    Colorectal carcinoma is acknowledged as the second leading cause of total cancer-related death in the European Region. The majority of deaths related to colorectal carcinoma are connected with liver metastatic disease. Approximately, in 25% of all patients, liver metastatic disease is diagnosed at the same time as the primary diagnosis, while up to a quarter of others would develop liver metastases in the course of the illness. In this study, we developed reaction-diffusion model and analyzed the effect of drug therapy on liver metastatic disease for a specific patient. Tumor volumes in specific time points were obtained using CT scan images. The nonlinear function for cell proliferation rate as well as data about clinically applied drug therapy was included in the model. Fitting procedure was used for parameter estimation. Good agreement of numerical and experimental results shows the feasibility and efficacy of the proposed system. © 2014 Elsevier Ireland Ltd.
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    Modeling of liver metastatic disease with applied drug therapy
    (2014)
    Filipovic, Nenad (35749660900)
    ;
    Djukic, Tijana (55625822200)
    ;
    Saveljic, Igor (55565816700)
    ;
    Milenkovic, Petar (35574505300)
    ;
    Jovicic, Gordana (24465471500)
    ;
    Djuric, Marija (12243542300)
    Colorectal carcinoma is acknowledged as the second leading cause of total cancer-related death in the European Region. The majority of deaths related to colorectal carcinoma are connected with liver metastatic disease. Approximately, in 25% of all patients, liver metastatic disease is diagnosed at the same time as the primary diagnosis, while up to a quarter of others would develop liver metastases in the course of the illness. In this study, we developed reaction-diffusion model and analyzed the effect of drug therapy on liver metastatic disease for a specific patient. Tumor volumes in specific time points were obtained using CT scan images. The nonlinear function for cell proliferation rate as well as data about clinically applied drug therapy was included in the model. Fitting procedure was used for parameter estimation. Good agreement of numerical and experimental results shows the feasibility and efficacy of the proposed system. © 2014 Elsevier Ireland Ltd.
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    Occlusal load distribution through the cortical and trabecular bone of the human mid-facial skeleton in natural dentition: A three-dimensional finite element study
    (2015)
    Janovic, Aleksa (25927203500)
    ;
    Saveljic, Igor (55565816700)
    ;
    Vukicevic, Arso (55568836700)
    ;
    Nikolic, Dalibor (57548845900)
    ;
    Rakocevic, Zoran (57197600169)
    ;
    Jovicic, Gordana (24465471500)
    ;
    Filipovic, Nenad (35749660900)
    ;
    Djuric, Marija (12243542300)
    Understanding of the occlusal load distribution through the mid-facial skeleton in natural dentition is essential because alterations in magnitude and/or direction of occlusal forces may cause remarkable changes in cortical and trabecular bone structure. Previous analyses by strain gauge technique, photoelastic and, more recently, finite element (FE) methods provided no direct evidence for occlusal load distribution through the cortical and trabecular bone compartments individually. Therefore, we developed an improved three-dimensional FE model of the human skull in order to clarify the distribution of occlusal forces through the cortical and trabecular bone during habitual masticatory activities. Particular focus was placed on the load transfer through the anterior and posterior maxilla. The results were presented in von Mises stress (VMS) and the maximum principal stress, and compared to the reported FE and strain gauge data. Our qualitative stress analysis indicates that occlusal forces distribute through the mid-facial skeleton along five vertical and two horizontal buttresses. We demonstrated that cortical bone has a priority in the transfer of occlusal load in the anterior maxilla, whereas both cortical and trabecular bone in the posterior maxilla are equally involved in performing this task. Observed site dependence of the occlusal load distribution may help clinicians in creating strategies for implantology and orthodontic treatments. Additionally, the magnitude of VMS in our model was significantly lower in comparison to previous FE models composed only of cortical bone. This finding suggests that both cortical and trabecular bone should be modeled whenever stress will be quantitatively analyzed. © 2014 Elsevier GmbH.
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    Occlusal load distribution through the cortical and trabecular bone of the human mid-facial skeleton in natural dentition: A three-dimensional finite element study
    (2015)
    Janovic, Aleksa (25927203500)
    ;
    Saveljic, Igor (55565816700)
    ;
    Vukicevic, Arso (55568836700)
    ;
    Nikolic, Dalibor (57548845900)
    ;
    Rakocevic, Zoran (57197600169)
    ;
    Jovicic, Gordana (24465471500)
    ;
    Filipovic, Nenad (35749660900)
    ;
    Djuric, Marija (12243542300)
    Understanding of the occlusal load distribution through the mid-facial skeleton in natural dentition is essential because alterations in magnitude and/or direction of occlusal forces may cause remarkable changes in cortical and trabecular bone structure. Previous analyses by strain gauge technique, photoelastic and, more recently, finite element (FE) methods provided no direct evidence for occlusal load distribution through the cortical and trabecular bone compartments individually. Therefore, we developed an improved three-dimensional FE model of the human skull in order to clarify the distribution of occlusal forces through the cortical and trabecular bone during habitual masticatory activities. Particular focus was placed on the load transfer through the anterior and posterior maxilla. The results were presented in von Mises stress (VMS) and the maximum principal stress, and compared to the reported FE and strain gauge data. Our qualitative stress analysis indicates that occlusal forces distribute through the mid-facial skeleton along five vertical and two horizontal buttresses. We demonstrated that cortical bone has a priority in the transfer of occlusal load in the anterior maxilla, whereas both cortical and trabecular bone in the posterior maxilla are equally involved in performing this task. Observed site dependence of the occlusal load distribution may help clinicians in creating strategies for implantology and orthodontic treatments. Additionally, the magnitude of VMS in our model was significantly lower in comparison to previous FE models composed only of cortical bone. This finding suggests that both cortical and trabecular bone should be modeled whenever stress will be quantitatively analyzed. © 2014 Elsevier GmbH.
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    Trauma of the frontal region is influenced by the volume of frontal sinuses. A finite element study
    (2017)
    Pajic, Srbislav S. (57195107795)
    ;
    Antic, Svetlana (8243955900)
    ;
    Vukicevic, Arso M. (55568836700)
    ;
    Djordjevic, Nenad (57195108296)
    ;
    Jovicic, Gordana (24465471500)
    ;
    Savic, Zivorad (23475503500)
    ;
    Saveljic, Igor (55565816700)
    ;
    Janović, Aleksa (25927203500)
    ;
    Pesic, Zoran (24169682500)
    ;
    Djuric, Marija (12243542300)
    ;
    Filipovic, Nenad (35749660900)
    Anatomy of frontal sinuses varies individually, from differences in volume and shape to a rare case when the sinuses are absent. However, there are scarce data related to influence of these variations on impact generated fracture pattern. Therefore, the aim of this study was to analyse the influence of frontal sinus volume on the stress distribution and fracture pattern in the frontal region. The study included four representative Finite Element models of the skull. Reference model was built on the basis of computed tomography scans of a human head with normally developed frontal sinuses. By modifying the reference model, three additional models were generated: a model without sinuses, with hypoplasic, and with hyperplasic sinuses. A 7.7 kN force was applied perpendicularly to the forehead of each model, in order to simulate a frontal impact. The results demonstrated that the distribution of impact stress in frontal region depends on the frontal sinus volume. The anterior sinus wall showed the highest fragility in case with hyperplasic sinuses, whereas posterior wall/inner plate showed more fragility in cases with hypoplasic and undeveloped sinuses. Well-developed frontal sinuses might, through absorption of the impact energy by anterior wall, protect the posterior wall and intracranial contents. © 2017 Pajic, Antic, Vukicevic, Djordjevic, Jovicic, Savic, Saveljic, Janovic, Pesic, Djuric and Filipovic.
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    Publication
    Trauma of the frontal region is influenced by the volume of frontal sinuses. A finite element study
    (2017)
    Pajic, Srbislav S. (57195107795)
    ;
    Antic, Svetlana (8243955900)
    ;
    Vukicevic, Arso M. (55568836700)
    ;
    Djordjevic, Nenad (57195108296)
    ;
    Jovicic, Gordana (24465471500)
    ;
    Savic, Zivorad (23475503500)
    ;
    Saveljic, Igor (55565816700)
    ;
    Janović, Aleksa (25927203500)
    ;
    Pesic, Zoran (24169682500)
    ;
    Djuric, Marija (12243542300)
    ;
    Filipovic, Nenad (35749660900)
    Anatomy of frontal sinuses varies individually, from differences in volume and shape to a rare case when the sinuses are absent. However, there are scarce data related to influence of these variations on impact generated fracture pattern. Therefore, the aim of this study was to analyse the influence of frontal sinus volume on the stress distribution and fracture pattern in the frontal region. The study included four representative Finite Element models of the skull. Reference model was built on the basis of computed tomography scans of a human head with normally developed frontal sinuses. By modifying the reference model, three additional models were generated: a model without sinuses, with hypoplasic, and with hyperplasic sinuses. A 7.7 kN force was applied perpendicularly to the forehead of each model, in order to simulate a frontal impact. The results demonstrated that the distribution of impact stress in frontal region depends on the frontal sinus volume. The anterior sinus wall showed the highest fragility in case with hyperplasic sinuses, whereas posterior wall/inner plate showed more fragility in cases with hypoplasic and undeveloped sinuses. Well-developed frontal sinuses might, through absorption of the impact energy by anterior wall, protect the posterior wall and intracranial contents. © 2017 Pajic, Antic, Vukicevic, Djordjevic, Jovicic, Savic, Saveljic, Janovic, Pesic, Djuric and Filipovic.

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