PURPOSE OF REVIEW: A critical evaluation of contemporary literature regarding the role of big data, artificial intelligence, and digital technologies in precision cardio-oncology care and survivorship, emphasizing innovative and groundbreaking endeavors. RECENT FINDINGS: Artificial intelligence (AI) algorithm models can automate the risk assessment process and augment current subjective clinical decision tools. AI, particularly machine learning (ML), can identify medically significant patterns in large data sets. Machine learning in cardio-oncology care has great potential in screening, diagnosis, monitoring, and managing cancer therapy-related cardiovascular complications. To this end, large-scale imaging data and clinical information are being leveraged in training efficient AI algorithms that may lead to effective clinical tools for caring for this vulnerable population. Telemedicine may benefit cardio-oncology patients by enhancing healthcare delivery through lowering costs, improving quality, and personalizing care. Similarly, the utilization of wearable biosensors and mobile health technology for remote monitoring holds the potential to improve cardio-oncology outcomes through early intervention and deeper clinical insight. Investigations are ongoing regarding the application of digital health tools such as telemedicine and remote monitoring devices in enhancing the functional status and recovery of cancer patients, particularly those with limited access to centralized services, by increasing physical activity levels and providing access to rehabilitation services. SUMMARY: In recent years, advances in cancer survival have increased the prevalence of patients experiencing cancer therapy-related cardiovascular complications. Traditional cardio-oncology risk categorization largely relies on basic clinical features and physician assessment, necessitating advancements in machine learning to create objective prediction models using diverse data sources. Healthcare disparities may be perpetuated through AI algorithms in digital health technologies. In turn, this may have a detrimental effect on minority populations by limiting resource allocation. Several AI-powered innovative health tools could be leveraged to bridge the digital divide and improve access to equitable care.

• Publication type
• Journal Article MeSH

The COVID-19 Pandemic contributed to accelerating the process of using information and communication technologies and digital technologies in healthcare management and delivery within healthcare systems. At that time, the Czech healthcare system faced the same problems as other European systems and struggled with a temporary limitation of direct provision of healthcare services. It was solved by switching to telemedicine. The Czech healthcare system used telemedicine to a minimal extent until then. Despite adopting the law on healthcare digitisation, it is still one of the countries with a lower level of digitisation of healthcare processes. The article presents the results of an exploratory expert investigation focused on the implementation and development of telemedicine in the Czech Republic. The conducted research aimed to identify problems related to the implementation of telemedicine in practice, place them in the broader framework of the healthcare system and structure them, propose possible solutions, and identify the future challenges of telemedicine in the Czech Republic. We based our study on the results of a three-phase QUAL-QUAN-QUAL research. Data collection in the first phase took the form of individual semi-structured interviews with patients (25) with practical experience in the field of telemedicine, followed by the second quantitative phase of the questionnaire survey with patients (650). The third qualitative phase included semi-structured interviews with experts (17) with practical experience in telemedicine. The introduction and expansion of telemedicine require several fundamental changes. These include adjustments to the legislative environment and changes to the technological infrastructure, organisation of care and work. Several barriers have been identified at the healthcare system level, healthcare providers, healthcare professionals and patients.

• MeSH
• COVID-19 * epidemiology   MeSH
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Pandemics * MeSH
• Delivery of Health Care organization & administration   MeSH
• Surveys and Questionnaires MeSH
• Interviews as Topic MeSH
• SARS-CoV-2 MeSH
• Aged MeSH
• Telemedicine * organization & administration   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Geographicals
• Czech Republic MeSH

BACKGROUND: Preservation of mobility independence is a primary goal in older adults with physical frailty and sarcopenia (PF&S). Interventions based on the combination of physical activity (PA) and nutritional counselling have been indicated as strategies for the management of this condition, although their effectiveness is not confirmed in all investigations. A possible explanation for this uncertain scenario relies in the impact of the adherence to PA interventions. Hence, the present study investigated the impact of the adherence to PA sessions on the incidence of mobility disability in older adults with PF&S. METHODS: This is a secondary analysis of an evaluator blinded, randomised controlled trial, developed in 16 clinical sites across 11 European countries, from January 2016 to 31 October 2019. Participants were community-dwelling older adults (70+ years) with PF&S enrolled in the SPRINTT trial (NCT02582138). PF&S was operationalised as having a total score from 3 to 9 on the short physical performance battery (SPPB), low appendicular lean mass and ability to complete the 400-m walk test in < 15 min. Data from participants allocated to a multicomponent intervention (PA with technological support plus nutritional counselling) and a healthy ageing lifestyle education programme (control group) were analysed. Adherence to PA was assessed based on the number of weekly sessions attended. According to recommendations of the American College of Sports Medicine, adherence was categorised as below recommendations (< 2 sessions/week, BR), meeting recommendations (2-3 sessions/week, MR), and above recommendations (> 3 sessions/week, AR). The primary outcome was incident mobility disability, operationalised as incident inability to complete the 400-m walk test in < 15 min during up to 36 months of follow-up. RESULTS: Data of 1444 participants (mean age 79.3 years, 72.6% women) were analysed. In those with SPPB scores of 3-7, MR and AR groups had lower risk of mobility disability compared with controls [MR HR (95% CI): 0.57 (0.41-0.78), p = 0.001; AR HR (95% CI): 0.33 (0.23-0.46), p < 0.001] and BR groups [MR: HR (95% CI): 0.48 (0.34-0.69), p < 0.001; AR: HR (95% CI): 0.27 (0.18-0.38), p < 0.001] in a dose-dependent manner. In those with SPPB scores of 8 or 9, the BR group had a higher risk of mobility disability than controls. MR and AR groups had a lower risk of mobility disability than the BR group. CONCLUSIONS: In older adults with PF&S, adherence to PA recommendations is associated with lower incidence of mobility disability. This benefit depends on the degree of adherence as well as baseline physical performance. TRIAL REGISTRATION: ClinicalTrials.gov NCT02582138.

• MeSH
• Exercise * physiology   MeSH
• Humans MeSH
• Mobility Limitation * MeSH
• Persons with Disabilities MeSH
• Sarcopenia * physiopathology   therapy   MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH
• Randomized Controlled Trial MeSH

Tento článek zpracovává téma nových trendů a technologií v urologii, a to konkrétně v oblasti telemedicíny a umělé inteligence. Nejprve stručně pojednává o přínosech telemedicíny a jak mění pohled na vztah mezi lékařem a pacientem. Podrobněji se pak text věnuje především umělé inteligenci, jež se v současnosti dostává do popředí zájmu laické i odborné veřejnosti. Její potenciál v urologii je testován v mnoha studiích, především se zaměřením na uroonkologii, v menší míře pak také v oblasti benigních urologických onemocnění. Článek se snaží identifikovat nejvýznamnější pokroky v této rychle se rozvíjející oblasti, a zároveň předkládá současné limity jejího zapojení do klinické praxe.

This article explores the emerging trends and technologies in urology, focusing on telemedicine and artificial intelligence. It provides a brief overview of the benefits of telemedicine and its impact on the patient-physician interactions. The article subsequently explores in detail the use of artificial intelligence, which is currently gaining considerable interest from both general public and medical professionals. Its potential in urology has been tested in a number of clinical studies, particularly in the field of uro-oncology and, to a lesser extent, in benign urological diseases. The aim of this article is to identify the key advances in this rapidly evolving field, while also highlighting the current limitations of its implementation into clinical practice.

• MeSH
• Deep Learning MeSH
• Humans MeSH
• Robotic Surgical Procedures MeSH
• Machine Learning MeSH
• Telemedicine MeSH
• Artificial Intelligence MeSH
• Urologic Neoplasms diagnosis   therapy   MeSH
• Urology * trends   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Review MeSH

Obezita je chronické, relabující a progredující onemocnění s rostoucí prevalencí, které významně ovlivňuje zdraví a kvalitu života i u dětí. Je spojena se zvýšeným rizikem metabolických a kardiovaskulárních onemocnění, jako je inzulinová rezistence, diabetes mellitus 2. typu, hypertenze, dyslipidémie a metabolicky asociovaná steatóza jater. Obezita dále může vést k rozvoji syndromu spánkové apnoe, ortopedickým a psychickým komplikacím. Základem terapie je edukace zdravého životního stylu celé rodiny, která však často naráží na překážky, jako jsou časová náročnost, omezená dostupnost specialistů a nízká dlouhodobá adherence rodin. Telemedicína nabízí inovativní přístup ke zlepšení léčby obezity dětí prostřednictvím digitálních nástrojů, online konzultací, chytrých aplikací a nositelných technologií. Umožňuje efektivnější monitorování stravovacích a pohybových návyků, podporu psychického zdraví i snížení časové a finanční zátěže pro rodiny. Výsledky studií ukazují, že kombinace prezenční a distanční podpory a aktivní zapojení rodinných příslušníků vede k vyšší úspěšnosti v redukci tělesné hmotnosti a udržení zdravého životního stylu. Článek se zaměřuje na využití telemedicíny v léčbě obezity u dětí, přehled metod, které byly v této oblasti aplikovány, a jejich účinnost v kontextu současných vědeckých poznatků.

Obesity is a chronic, relapsing, and progressive disease with increasing prevalence, that significantly impacts health and quality of life, even in children. It is associated with an increased risk of metabolic and cardiovascular diseases such as insulin resistance, type 2 diabetes mellitus, hypertension, dyslipidemia, and metabolic dysfunction-associated steatotic liver disease. Additionally, obesity can lead to the development of sleep apnea syndrome, orthopedic issues, and psychological complications. The cornerstone of the care is educating the whole family about a healthy lifestyle; however, this may often be challenging due to obstacles such as time constraints, limited access to specialists, and low long-term adherence of families. Telemedicine offers an innovative approach to improving obesity treatment in children through digital tools, online consultations, smart applications, and wearable technologies. It enables more effective monitoring of dietary and physical activity habits, supports mental health, and reduces time and financial burdens for families. Studies indicate that combining in-person and remote support, along with active involvement of family members, leads to higher success rates in weight reduction and a healthy lifestyle maintenance. This article focuses on the use of telemedicine in the treatment of obesity in children, providing an overview of the methods applied in this field and their effectiveness in the context of current scientific knowledge.

• MeSH
• Child MeSH
• Humans MeSH
• Pediatric Obesity * therapy   MeSH
• Motor Activity MeSH
• Psychosocial Intervention methods   MeSH
• Preventive Health Services methods   MeSH
• Feeding Behavior psychology   MeSH
• Telemedicine * MeSH
• Life Style MeSH
• Check Tag
• Child MeSH
• Humans MeSH
• Publication type
• Research Support, Non-U.S. Gov't MeSH
• Review MeSH

BACKGROUND: Type 2 diabetes and prediabetes represent significant global health challenges, with physical activity (PA) being essential for disease management and prevention. Despite the well-documented benefits, many individuals with (pre)diabetes remain insufficiently active. General practitioners (GP) provide an accessible platform for delivering interventions; however, integrating PA interventions into routine care is hindered by resource constraints. OBJECTIVES: The ENERGISED trial aims to address these barriers through an innovative GP-initiated mHealth intervention combining wearable technology and just-in-time adaptive interventions. METHODS: The ENERGISED trial is a pragmatic, 12-month, multicentre, randomised controlled trial, assessing a GP-initiated mHealth intervention to increase PA and reduce sedentary behaviour in patients with type 2 diabetes and prediabetes. The primary outcome is daily step count, assessed via wrist-worn accelerometry. The primary analysis follows the intention-to-treat principle, using mixed models for repeated measures. Missing data will be handled under the missing-at-random assumption, with sensitivity analyses exploring robustness through reference-based multiple imputation. The trial incorporates the estimand framework to provide transparent and structured treatment effect estimation. DISCUSSION: This statistical analysis plan outlines a robust approach to addressing participant non-adherence, protocol violations, and missing data. By adopting the estimand framework and pre-specified sensitivity analyses, the plan ensures methodological rigour while enhancing the interpretability and applicability of results. CONCLUSIONS: The ENERGISED trial leverages innovative mHealth strategies within primary care to promote PA in individuals with (pre)diabetes. The pre-specified statistical framework provides a comprehensive guide for analysing trial data and contributes to advancing best practices in behavioural intervention trials for public health. TRIAL REGISTRATION: ClinicalTrials.gov NCT05351359 . Registered on April 28, 2022.

• MeSH
• Accelerometry MeSH
• Exercise * MeSH
• Diabetes Mellitus, Type 2 * therapy   psychology   diagnosis   MeSH
• Fitness Trackers MeSH
• Humans MeSH
• Multicenter Studies as Topic MeSH
• Wearable Electronic Devices MeSH
• Pragmatic Clinical Trials as Topic MeSH
• General Practice * methods   MeSH
• Prediabetic State * therapy   psychology   diagnosis   MeSH
• Sedentary Behavior * MeSH
• Telemedicine * statistics & numerical data   MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Clinical Trial Protocol MeSH

Cardiovascular disease (CVD) is a leading cause of death worldwide. A key area of interest in CVD prevention is novel digital health technologies, primarily mobile health (mHealth) applications and wearable devices, that are rapidly transforming the methods of preventing and managing CVD. Studies have shown the success of smartphone applications, such as the RITMIA app (Heart SentinelTM, Parma, Italy), in successfully detecting atrial fibrillation (Afib) compared to a classic 12-lead electrocardiogram (ECG). mHealth devices should integrate these factors, based on artificial intelligence (AI) and driven by chatbots, to encourage patients to use technology through interactive, real-world, motivational, and timely feedback. Data from mHealth clinical research indicate improved medication adherence, weight control, and self-care among patients. This review highlights mHealth and wearable devices in CVD prevention, providing foresight into cardiovascular health conditions through continuous monitoring, early detection, and improved patient engagement. Additionally, it examines challenges, including ethical, regulatory, and accessibility issues, that need to be addressed before their widespread adoption. In the future, the priority must be integration with healthcare systems and equitable access. A thorough search was conducted using reputable databases such as Scopus, PubMed, and Google Scholar. Articles from 2015 to 2025, along with an article from 2002 published in reputable peer-reviewed journals, were analyzed and contextually used. We also refined our search terms and used high-quality English articles to achieve this.

• Publication type
• Journal Article MeSH
• Review MeSH

Telemedicína již dávno nepředstavuje revoluční přístup k poskytování zdravotní péče, naopak se v posledních letech stále více integruje do různých medicínských oborů, včetně pediatrie. Rychlý technologický pokrok a rostoucí potřeba efektivní a dostupné zdravotní péče vedou k rozšíření telemedicínských řešení, jež umožňují lékařům a pacientům komunikovat a spolupracovat na dálku. V oblasti pediatrie přináší telemedicína nejen nové možnosti diagnostiky a sledování dětí, ale také usnadňuje přístup ke specializované péči, což je obzvláště významné v odlehlých regionech nebo v případě centralizovaných specializovaných pracovišť. Tento článek se zaměřuje na přehled aktuálních možností využití telemedicíny v pediatrii, její přínosy, omezení a výzvy spojené s implementací do každodenní klinické praxe.

Telemedicine is no longer considered a revolutionary approach to delivering healthcare; rather, it has increasingly integrated into various medical fields, including pediatrics, in recent years. Rapid technological advancements and the growing demand for efficient and accessible healthcare have driven the expansion of telemedicine solutions, enabling physicians and patients to communicate and collaborate remotely. In pediatrics, telemedicine not only introduces new possibilities for diagnosis and monitoring but also facilitates access to specialized care, which is particularly important in remote regions or for centralized specialized facilities. This article provides an overview of the current applications of telemedicine in pediatrics, highlighting its benefits, limitations, and the challenges associated with its implementation in everyday clinical practice.

• MeSH
• Chronic Disease MeSH
• Child Psychiatry methods   organization & administration   MeSH
• Child MeSH
• Health Services Accessibility organization & administration   MeSH
• Humans MeSH
• Pediatrics * instrumentation   MeSH
• Telemedicine * MeSH
• Pediatric Dentistry organization & administration   MeSH
• Check Tag
• Child MeSH
• Humans MeSH
• Publication type
• Review MeSH
• Geographicals
• Czech Republic MeSH

BACKGROUND: Mobile health (mHealth) is increasingly being used in contemporary health care provision owing to its portability, accessibility, ability to facilitate communication, improved interprofessional collaboration, and benefits for health outcomes. However, there is limited discourse on patient safety in real-world mHealth implementation, especially as care settings extend beyond traditional center-based technology usage to home-based care. OBJECTIVE: This study aimed to explore health care professionals' perspectives on the safety aspects of mHealth integration in real-world service provision, focusing on Hong Kong Special Administrative Region (SAR) and Wuhan city in mainland China. In Hong Kong SAR, real-world mHealth care provision is largely managed by the Hospital Authority, which has released various mobile apps for home-based care, such as Stoma Care, Hip Fracture, and HA Go. In contrast, mHealth care provision in Wuhan is institutionally directed, with individual hospitals or departments using consultation apps, WeChat mini-programs, and the WeChat Official Accounts Platform (a subapp within the WeChat ecosystem). METHODS: A multicenter qualitative study design was used. A total of 27 participants, including 22 nurses and 5 physicians, from 2 different health care systems were interviewed individually. Thematic analysis was used to analyze the data. RESULTS: The mean age of the participants was 32.19 (SD 3.74) years, and the mean working experience was 8.04 (SD 4.05) years. Most participants were female (20/27, 74%). Nearly half of the participants had a bachelor's degree (13/27, 48%), some had a master's degree (9/27, 33%), and few had a diploma degree (3/27, 11%) or a doctoral degree (2/27, 7%). Four themes emerged from the data analysis. Considering the current uncertainties surrounding mHealth implementation, participants emphasized "liability" concerns when discussing patient safety. They emphasized the need for "change management," which includes appropriate referral processes, adequate resources and funding, informed mHealth usage, and efficient working processes. They cautioned about the risks in providing mHealth information without ensuring understanding, appreciated the current regulations available, and identified additional regulations that should be considered to ensure information security. CONCLUSIONS: As health care systems increasingly adopt mHealth solutions globally to enhance both patient care and operational efficiency, it becomes crucial to understand the implications for patient safety in these new care models. Health care professionals recognized the importance of patient safety in making mHealth usage reliable and sustainable. The promotion of mHealth should be accompanied by the standardization of mHealth services with institutional, health care system, and policy-level support. This includes fostering mHealth acceptance among health care professionals to encourage appropriate referrals, accommodate changes, ensure patient comprehension, and proactively identify and address threats to information security.

• MeSH
• Patient Safety * MeSH
• Adult MeSH
• Qualitative Research MeSH
• Humans MeSH
• Mobile Applications MeSH
• Telemedicine * MeSH
• Check Tag
• Adult MeSH
• Humans MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH
• Geographicals
• China MeSH
• Hong Kong MeSH

Využití digitální patologie a umělé inteligence v anatomické patologii představuje revoluční krok směrem k modernizaci diagnostických procesů. Digitalizace, postavená zejména na využívání tzv. whole slide imaging, umožňuje vytvářet celoplošné digitální obrazy histologických preparátů, což přináší potenciální benefity v oblasti přesnosti a dostupnosti diagnostiky. Na rozdíl od tradiční mikroskopie poskytuje digitální patologie též možnost telemedicíny a vzdálené konzultace, čímž otevírá nové možnosti spolupráce a sdílení odborných znalostí na národní i mezinárodní úrovni. Implementace digitálního pracovního postupu nicméně vyžaduje rozsáhlé investice do skenerů, softwarových platforem, vysokokapacitních úložišť a IT infrastruktury. Navzdory nemalým nákladům na implementaci však přináší řadu výhod, včetně časových úspor, možnosti centralizace diagnostiky a snížení nákladů na transport vzorků. Tento příspěvek se zaměřuje na praktické aspekty implementace digitální patologie v patologických laboratořích s důrazem na přínosy, rizika a technologické požadavky spojené s digitalizací a diskutuje i zásadní role validace a verifikace celého nového pracovního procesu. Článek představuje digitální patologii jako dynamicky se rozvíjející obor s vysokým potenciálem pro personalizovanou medicínu, zlepšení diagnostické přesnosti a podporu vzdálené spolupráce, čímž reaguje na rostoucí nároky moderní medicíny.

The application of digital pathology and artificial intelligence in anatomical pathology represents a revolutionary step towards the modernization of diagnostic processes. Digitalization, primarily based on creation and subsequent use of whole slide imaging, enables generating of full digital images of histological slides, offering potential benefits in diagnostic accuracy and accessibility. Unlike traditional microscopy, digital pathology also facilitates telemedicine and remote consultation, opening new possibilities for collaboration and sharing of expertise at both national and international levels. However, implementing a digital workflow requires substantial investments in scanners, software platforms, high-capacity storage, and IT infrastructure. Despite considerable costs of implementation, it brings numerous advantages, including time savings, opportunities for centralized diagnostics, and a reduction in sample transport costs. This paper focuses on the practical aspects of implementing digital pathology in pathology laboratories, emphasizing the benefits, risks, and technological requirements associated with digitalized workflows. It also discusses crucial roles of validation and verification, which are essential for ensuring a diagnostic accuracy of digital images compared to conventional microscopy. The article presents digital pathology as a dynamically evolving field with high potential for personalized medicine, improved diagnostic accuracy, and support for remote collaboration, addressing the growing demands of modern medicine.

• MeSH
• Humans MeSH
• Pathology * trends   MeSH
• Machine Learning * trends   MeSH
• Telemedicine trends   MeSH
• Check Tag
• Humans MeSH