{"title":"Artificial intelligence in medicine and healthcare: Opportunity and/or threat.","authors":"Lenka Lhotská","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The aim of the article to present the development of artificial intelligence (AI) methods and their applications in medicine and health care. Current technological development contributes to generation of large volumes of data that cannot be evaluated only manually. We describe the process of patient care and its individual parts that can be supported by technology and data analysis methods. There are many successful applications that help in the decision support process, in processing complex multidimensional heterogeneous and/or long-term data. On the other side, failures appear in AI methods applications. In recent years, deep learning became very popular and to a certain extend it delivered promising results. However, it has certain flaws that might lead to misclassification. The correct methodological steps in design and implementation of selected methods to data processing are briefly presented.</p>","PeriodicalId":9645,"journal":{"name":"Casopis lekaru ceskych","volume":"162 7-8","pages":"275-278"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141562754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"COVID-19: to vaccinate or not to vaccinate - that is the question.","authors":"Jiří Městecký, Milan Raška","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>SARS-CoV-2 is a virus which infects the respiratory tract and may cause severe, occasionally life-threatening disease COVID-19. In more than 5% of symptomatic patients the infection is associated with post-acute symptoms. The initial contact of the virus with the immune system of the nasopharynx and oropharynx induces a mucosal immune response manifested by the production of secretory IgA (sIgA) antibodies which may contribute to the restriction of the infection to the upper respiratory tract and an asymptomatic or clinically mild disease. The current systemically administered vaccines protected against the severe COVID-19 infection and its post-acute sequelae. However, they do not induce antibodies in mucosal secretions in SARS-CoV-2-naive individuals. In contrast, in those who previously experienced mucosal infection, systemically administered vaccines may stimulate sIgA production. The clinical benefit of systemic vaccination convincingly documented in tens of millions of individuals overshadows the rare, sometimes controversial reports of complications encountered after vaccination. The inability of current SARS-CoV-2 vaccines to induce mucosal immune responses and to prevent the spreading of the virus by external secretions demonstrates the mutual independence of mucosal and systemic compartments of the immune system, and thus emphasizes need for the development of vaccines inducing protective immune responses in both compartments.</p>","PeriodicalId":9645,"journal":{"name":"Casopis lekaru ceskych","volume":"163 4","pages":"131-136"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142280712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Je obezita a malnutrice u geriatrických pacientů problémem z hlediska dávkování analgetik?","authors":"Eliška Dvořáčková","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Both obesity and malnutrition in the elderly population are raising concerns. As majority of pharmacokinetic data are obtained from subjects with a healthy weight range in productive age, administration of correct dosing of drugs to obese elderly patients is quite challenging. All phases of the pharmacokinetics of drugs (absorption, distribution, metabolism and elimination) are potentially affected by the effect of aging but also by obesity or malnutrition. These changes are often potentiated in the case of a combination of obesity and older age. The problem is also that not all drugs are affected in the same way, therefore it is necessary to know the influence of age and obesity on the kinetics of the particular substance being assessed. 50% of seniors suffer from pain at home and up to 80% during hospitalization. In addition to general knowledge about the effect of age but also obesity and malnutrition on the kinetics of drugs, this overview presents the pharmacokinetic changes of analgesics caused by both obesity and malnutrition.</p>","PeriodicalId":9645,"journal":{"name":"Casopis lekaru ceskych","volume":"163 1","pages":"32-37"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142709300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Polypragmazie a jak jí předcházet.","authors":"Jan Miroslav Hartinger, Daniel Laurus Bobek","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Polypharmacy is currently a serious problem that causes decrease in adherence and increased number of hospitalizations and mortality. WHO addresses polypharmacy in the Medication Without Harm campaign. Other initiatives that deal with polypharmacy are the International Group for Reducing Inappropriate Medication Use & Polypharmacy (IGRIMUP) and Choosing Wisely campaign. The correct approach to address polypharmacy consists of its prevention, i.e. not prescribing inappropriate or unnecessary medication and providing clear timeframe for medication that should not be continued life-long. Further on we should actively seek patients suffering from polypharmacy and intervene it by deprescription. Correctly provided deprescription can be done by means of various tools beginning from simple lists of inappropriate drugs (Beers criteria, STOPP/START) to more comprehensive approaches that evaluate the importance of each particular drug in patient's medication list and help to identify the least important ones that are candidates for deprescription (Medication Appropriateness Index, Good Palliative Geriatric Practice Algorithm and others). When evaluating the appropriateness of pharmacotherapy, we always check if the treatment aim is achieved, if the indication persists, appropriateness of dosing and if the patient understands the pharmacotherapeutical regimen. By this approach we try to eliminate the pharmacotherapy with very low or no benefit for particular patient. Clinical pharmacologist or pharmacist can significantly help with this time-consuming process.</p>","PeriodicalId":9645,"journal":{"name":"Casopis lekaru ceskych","volume":"163 1","pages":"3-8"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142709315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Large language models are changing landscape of academic publications. A positive transformation?","authors":"Martin Májovský, Martin Černý, David Netuka","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The advent of large language models (LLMs) based on neural networks marks a significant shift in academic writing, particularly in medical sciences. These models, including OpenAI's GPT-4, Google's Bard, and Anthropic's Claude, enable more efficient text processing through transformer architecture and attention mechanisms. LLMs can generate coherent texts that are indistinguishable from human-written content. In medicine, they can contribute to the automation of literature reviews, data extraction, and hypothesis formulation. However, ethical concerns arise regarding the quality and integrity of scientific publications and the risk of generating misleading content. This article provides an overview of how LLMs are changing medical writing, the ethical dilemmas they bring, and the possibilities for detecting AI-generated text. It concludes with a focus on the potential future of LLMs in academic publishing and their impact on the medical community.</p>","PeriodicalId":9645,"journal":{"name":"Casopis lekaru ceskych","volume":"162 7-8","pages":"294-297"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141562758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ancient sanctuary of Asclepius, god of medicine, on the island of Paros (Greece).","authors":"Tomáš Alušík, Pavla Alušíková Dostalíková","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Asclepius was the main healing deity of the Classical Antiquity. After his gradual establishment, his cult expanded throughout the Greek world, especially in the 5th and 4th centuries BC. Asclepius was worshipped in sacred precincts labelled asklepieia (singular asklepieion), which served both as religious sites and as medical facilities where the sick came for healing. One of the smaller asklepieia is located on the island of Paros in the Cyclades, on two terraces about 3 km southwest of the centre of Parikia. The site was partially excavated in 1898-1899 by the German archaeologist Otto Rubensohn (1867-1964) and incompletely published in 1902. Over the last few years, the authors have been working on a project to (re)identify all surviving finds based on original descriptions and original excavation documentation, and to better understand the healing practices at the site. From the 6th century BC at the latest, the cult of Apollo, a deity with certain healing powers, is attested here, who was succeeded by his mythological son Asclepius sometime between the end of the 5th and the beginning of the 4th centuries BC. During the 4th and probably also in the 3rd century BC, a large complex is built on both terraces, with a temple, retaining and enclosure walls, a specific circular structure, a building for pilgrims and the performance of healing sleep, an altar and 2 sacred healing springs. The site's greatest bloom occurred in the 4th to 2nd century BC and especially in the Roman period, in the 1st to 3rd centuries.</p>","PeriodicalId":9645,"journal":{"name":"Casopis lekaru ceskych","volume":"163 6","pages":"250-258"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142945174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Searching for ways to survive cardiac arrest and extracorporeal oxygen therapy - ECPR.","authors":"Jiří Knor","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Modern cardiopulmonary resuscitation and its introduction into wide practice has more than sixty years of history. Despite all efforts to improve the original procedures and improve the results of care for patients with cardiac arrest, the basic recommendations and rules of modern emergency resuscitation remain practically the same as at the time of its inception. In recent years, in order to increase the number of patients surviving cardiac arrest, urgent resuscitation has been used in combination with the method of extracorporeal cardiopulmonary oxygenation (ECPR). This procedure shows the potential and possibilities of contemporary medicine, but at the same time it brings a lot of question marks and cannot be recommended routinely.</p>","PeriodicalId":9645,"journal":{"name":"Casopis lekaru ceskych","volume":"163 6","pages":"227-229"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142945190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Lékové interakce - rizika u pacientů s polypragmazií.","authors":"Karolína Russ, Tereza Vaňková","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Polypharmacy, a phenomenon of today's medicine, brings a great risk of drug interactions. Some of them can lead to serious side effects or treatment failure, knowledge in this field is dramatically developing. Pharmacokinetic drug interactions can occur not only when drugs are metabolized by the cytochrome P450 isoenzyme system, but also at the level of transporters, a number of which have already been described. In order to assess their clinical significance, it is necessary to orient oneself in the pharmacodynamics and pharmacokinetics of drugs, but also to consider other factors that will influence the impact of drug interactions. The physician should be familiar with commonly prescribed drugs with a high interaction potential, be aware of strong inducers and inhibitors of CYP450, as well as the possible influence of genetic polymorphism of some of its isoforms. However, one should not rely on the interpretation of drug interactions only using available interaction databases. No software is yet capable of evaluating interactions comprehensively and in the context of a specific patient, their health status and comorbidities. Also, the information available from clinical studies and observations needs to be properly understood and translated into real practice. Nowadays, it is a great advantage a doctor can consult with a clinical pharmacist or pharmacologist on the issue of drug interactions in a specific patient. This article summarizes the issue of drug interactions, focusing on the less intuitive ones, with examples from practice.</p>","PeriodicalId":9645,"journal":{"name":"Casopis lekaru ceskych","volume":"163 1","pages":"9-17"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142709304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Martin Černý, Daniel Kvak, Daniel Schwarz, Hynek Mírka, Jakub Dandár
{"title":"Artificial intelligence's contribution to early pulmonary lesion detection in chest X-rays: insights from two retrospective studies on a Czech population.","authors":"Martin Černý, Daniel Kvak, Daniel Schwarz, Hynek Mírka, Jakub Dandár","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>In recent years healthcare is undergoing significant changes due to technological innovations, with Artificial Intelligence (AI) being a key trend. Particularly in radiodiagnostics, according to studies, AI has the potential to enhance accuracy and efficiency. We focus on AI's role in diagnosing pulmonary lesions, which could indicate lung cancer, based on chest X-rays. Despite lower sensitivity in comparison to other methods like chest CT, due to its routine use, X-rays often provide the first detection of lung lesions. We present our deep learning-based solution aimed at improving lung lesion detection, especially during early-stage of illness. We then share results from our previous studies validating this model in two different clinical settings: a general hospital with low prevalence findings and a specialized oncology center. Based on a quantitative comparison with the conclusions of radiologists of different levels of experience, our model achieves high sensitivity, but lower specificity than comparing radiologists. In the context of clinical requirements and AI-assisted diagnostics, the experience and clinical reasoning of the doctor play a crucial role, therefore we currently lean more towards models with higher sensitivity over specificity. Even unlikely suspicions are presented to the doctor. Based on these results, it can be expected that in the future artificial intelligence will play a key role in the field of radiology as a supporting tool for evaluating specialists. To achieve this, it is necessary to solve not only technical but also medical and regulatory aspects. It is crucial to have access to quality and reliable information not only about the benefits but also about the limitations of machine learning and AI in medicine.</p>","PeriodicalId":9645,"journal":{"name":"Casopis lekaru ceskych","volume":"162 7-8","pages":"283-289"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141562755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Risk factors for postoperative pneumonia in patients after lung resection for non-small cell lung cancer - results of a cohort study.","authors":"Markéta Kepičová, Lubomír Tulinský, Adéla Kondé, Čestmír Neoral, Lubomír Martínek","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Postoperative pneumonia is the most common complication in patients after lung resection for non-small cell lung cancer (NSCLC). The tolerable incidence of this complication ranges from 5 to 8 %. The aim of this study was to evaluate the influence of initial risk factors on the incidence of postoperative pneumonia in patients undergoing lung resection for NSCLC. A retrospective cohort study was conducted at the University Hospital Ostrava between January 1, 2016, and December 31, 2022. All adult patients who underwent pulmonary lobectomy for primary NSCLC during the study period were included in the study. A total of 350 patients were included in the study. The incidence of postoperative pneumonia was 10.9%. Analysis of baseline risk factors did not show a statistically significant association with the incidence of this complication. The only statistically significant finding was a longer hospital stay in patients with postoperative pneumonia. The risk of postoperative pneumonia in patients undergoing lung resection for non-small cell lung cancer cannot be clearly explained by the initial risk factors examined alone. The complex nature of this risk also requires a comprehensive approach to prevention, including both patient-centred measures and improved postoperative care.</p>","PeriodicalId":9645,"journal":{"name":"Casopis lekaru ceskych","volume":"163 3","pages":"94-97"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141562768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}