Kounis Syndrome is the development of acute coronary syndrome (ACS) because of allergic reactions; allergens, such as foods, insect venom, iodine contrast agent or drugs can cause this syndrome. Hirudotherapy (leech therapy) is increasingly used as a useful therapeutic option in a variety of medical and surgical procedures, and potential complications related to this therapy include Aeromonas species infections, bleeding, anemia and allergic reactions. Here, we present a patient diagnosed as Type 1 Kounis Syndrome after using hirudotherapy for her knee aches. 41-year-old woman admitted to emergency department with sudden onset of face edema, shortness of breath and chest pain complaints and diagnosed as an allergic reaction and anaphylaxis due to leech therapy. Kounis Syndrome should be considered in acute coronary syndrome patients who were admitted to emergency department with anaphylaxis clinic.

Background/Objectives: Cardiovascular diseases are among the leading causes of death worldwide. Early diagnosis of these conditions minimizes the risk of future death. Listening to heart sounds with a stethoscope is one of the easiest and fastest methods for diagnosing heart conditions. While heart sounds are a quick and easy diagnostic method, they require significant expert interpretation. Recently, artificial intelligence models trained based on these expert interpretations have become popular in the development of decision support systems. Methods: The proposed approach uses the popular 2016 PhysioNet/CinC Challenge dataset for PCG signals. Spectrogram image transformation was then performed to increase the representativeness of these signals. A deep learning-based model that allows for the simultaneous training of residual and attention blocks and the MLP-mixer model was used for feature extraction. A new algorithm combining the strengths of NCA and ReliefF algorithms was proposed to select the strongest features in the feature set. The SVM algorithm was used for classification. Results: With this proposed approach, over 98% success was achieved in all accuracy, sensitivity, specificity, precision, and F1-score metrics. Conclusions: As a result, an artificial intelligence-based decision support system that detects cardiovascular diseases with high accuracy is presented.

Resumo Fundamentos Os efeitos protetores da fase de leitura aberta mitocondrial do 12S rRNA-c (MOTS-C) em doenças cardiovasculares foram demonstrados em vários estudos. Entretanto, há pouca documentação da relação entre MOTS-C e fluxo sanguíneo coronariano no infarto do miocárdio com supradesnivelamento do segmento ST (IAMCSST). Objetivo Nosso objetivo foi investigar o papel do MOTS-C, que é conhecido por ter propriedades citoprotetoras na patogênese do fenômeno de no-reflow, comparando a taxa de fluxo coronariano e os níveis de MOTS-C em pacientes [...] Resumo Fundamentos Os efeitos protetores da fase de leitura aberta mitocondrial do 12S rRNA-c (MOTS-C) em doenças cardiovasculares foram demonstrados em vários estudos. Entretanto, há pouca documentação da relação entre MOTS-C e fluxo sanguíneo coronariano no infarto do miocárdio com supradesnivelamento do segmento ST (IAMCSST). Objetivo Nosso objetivo foi investigar o papel do MOTS-C, que é conhecido por ter propriedades citoprotetoras na patogênese do fenômeno de no-reflow, comparando a taxa de fluxo coronariano e os níveis de MOTS-C em pacientes

Background/Objectives: Heart attacks are the leading cause of death in the world. There are two important classes of heart attack: ST-segment Elevation Myocardial Infarction (STEMI) and Non-ST-segment Elevation Myocardial Infarction (NSTEMI) patient groups. While the STEMI group has a higher mortality rate in the short term, the NSTEMI group is considered more dangerous and insidious in the long term. Blocked coronary arteries can be predicted from ECG signals in STEMI patients but not in NSTEMI patients. Therefore, coronary angiography (CAG) is inevitable for these patients. However, in the elderly and some patients with chronic diseases, if there is a single blockage, the CAG procedure poses a risk, so medication may be preferred. In this study, a novel deep learning-based approach is used to automatically detect the occluded main coronary artery or arteries in NSTEMI patients. For this purpose, a new seven-class dataset was created with expert cardiologists. Methods: A new Multi Input-Multi Scale (MI-MS) ConvMixer model was developed for automatic detection. The MI-MS ConvMixer model allows simultaneous training of 12-channel ECG data and highlights different regions of the data at different scales. In addition, the ConMixer structure provides high classification performance without increasing the complexity of the model. Moreover, to maximise the classifier performance, the WSSE algorithm was developed to adjust the classification prediction value according to the feature importance weights. Results: This algorithm improves the SVM classifier performance. The features extracted from this model were classified with the WSSE algorithm, and an accuracy of 88.72% was achieved. Conclusions: This study demonstrates the potential of the MI-MS ConvMixer model in advancing ECG signal classification for diagnosing coronary artery diseases, offering a promising tool for real-time, automated analysis in clinical settings. The findings highlight the model’s ability to achieve high sensitivity, specificity, and precision, which could significantly improve.

Saygıdeğer okuyucular,Her şeyden önce size teşekkür etmek istiyorum, bilgi çağında, bilgiden yoksun, bilgiden uzak işini yapadurmak yerine, sağlık alanındaki inovasyon, teknoloji ve yapay zeka kulvarlarındaki merakınız ve hekimseniz hastanıza en doğru tanıyı koyup, en doğru tedaviyi vermek gayesi yada alan uzmanı iseniz de bu alanlarda gelişime inanarak okumayı seçtiğiniz, konfor alanınızı bozmayı kabul ettiğiniz için.Bu kitapta sağlığımızın geleceğinin büyük bir kısmını oluşturacak olan, sağlığın yapay zekasını size sunduk. Yapay zekanın sağlık alanındaki gelişmelerini, karar destek sistemlerini, büyük veriyi ve gelecek perspektifini en güncel bilgiler ışığında bu kitapta bulacaksınız.