RESUMEN
The SARS-CoV-2 virus responsible for the COVID-19 pandemic has profoundly impacted global health, economics, and society. This review seeks to encompass an overview of current knowledge on COVID-19, including its transmission, pathogenesis, and clinical presentation related to various systems within the human body. COVID-19 is a highly contagious illness that has rapidly spread worldwide. As of August 4, 2023, the WHO reported over 570 million confirmed cases of COVID-19 and over 6.3 million deaths. Although the virus is most common in adults, children can also be infected. Respiratory droplets that are produced when an infected person coughs or sneezes are the primary transmission mode for COVID-19. Additionally, the virus can be disseminated via contact with contaminated surfaces or objects, as it can remain viable for several hours or days. SARS-CoV-2 is a respiratory virus that enters cells by bonding with the angiotensin-converting enzyme 2 (ACE2) receptor. Once inside the cell, the virus replicates and produces new particles that can infect other cells. Interestingly, the effects of post-acute sequelae of SARS-CoV-2 infection (PASC) encompass more than just respiratory system. The findings presented in the data suggest that PASC significantly impacts multiple organs and their respective physiological processes. In light of these observations, we aim to provide a detailed discussion of the relevant findings in this paper. Through our review, we hope to provide healthcare professionals with a deeper understanding of the effects of PASC on the human body, which could ultimately lead to improved patient outcomes and treatment strategies.
RESUMEN
In the evolution of modern medicine, artificial intelligence (AI) has been proven to provide an integral aspect of revolutionizing clinical diagnosis, drug discovery, and patient care. With the potential to scrutinize colossal amounts of medical data, radiological and histological images, and genomic data in healthcare institutions, AI-powered systems can recognize, determine, and associate patterns and provide impactful insights that would be strenuous and challenging for clinicians to detect during their daily clinical practice. The outcome of AI-mediated search offers more accurate, personalized patient diagnoses, guides in research for new drug therapies, and provides a more effective multidisciplinary treatment plan that can be implemented for patients with chronic diseases. Among the many promising applications of AI in modern medicine, medical imaging stands out distinctly as an area with tremendous potential. AI-powered algorithms can now accurately and sensitively identify cancer cells and other lesions in medical images with greater accuracy and sensitivity. This allows for earlier diagnosis and treatment, which can significantly impact patient outcomes. This review provides a comprehensive insight into diagnostic, therapeutic, and ethical issues with the advent of AI in modern medicine.