Endometrial biopsies are important in the diagnostic workup of women who present with abnormal uterine bleeding or hereditary risk of endometrial cancer. In general, approximately 10% of all endometrial biopsies demonstrate endometrial (pre)malignancy that requires specific treatment. As the diagnostic evaluation of mostly benign cases results in a substantial workload for pathologists, artificial intelligence (AI)-assisted preselection of biopsies could optimize the workflow. This study aimed to assess the feasibility of AI-assisted diagnosis for endometrial biopsies (endometrial Pipelle biopsy computer-aided diagnosis), trained on daily-practice whole-slide images instead of highly selected images. Endometrial biopsies were classified into 6 clinically relevant categories defined as follows: nonrepresentative, normal, nonneoplastic, hyperplasia without atypia, hyperplasia with atypia, and malignant. The agreement among 15 pathologists, within these classifications, was evaluated in 91 endometrial biopsies. Next, an algorithm (trained on a total of 2819 endometrial biopsies) rated the same 91 cases, and we compared its performance using the pathologist's classification as the reference standard. The interrater reliability among pathologists was moderate with a mean Cohen's kappa of 0.51, whereas for a binary classification into benign vs (pre)malignant, the agreement was substantial with a mean Cohen's kappa of 0.66. The AI algorithm performed slightly worse for the 6 categories with a moderate Cohen's kappa of 0.43 but was comparable for the binary classification with a substantial Cohen's kappa of 0.65. AI-assisted diagnosis of endometrial biopsies was demonstrated to be feasible in discriminating between benign and (pre)malignant endometrial tissues, even when trained on unselected cases. Endometrial premalignancies remain challenging for both pathologists and AI algorithms. Future steps to improve reliability of the diagnosis are needed to achieve a more refined AI-assisted diagnostic solution for endometrial biopsies that covers both premalignant and malignant diagnoses.

• MeSH
• Biopsy MeSH
• Hyperplasia MeSH
• Humans MeSH
• Computers * MeSH
• Reproducibility of Results MeSH
• Feasibility Studies MeSH
• Artificial Intelligence * MeSH
• Check Tag
• Humans MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

• Keywords
• zdánlivý pohyb,
• MeSH
• Humans MeSH
• Eye MeSH
• Self Care * methods   MeSH
• Computers MeSH
• Motor Activity MeSH
• Eye Movements MeSH
• Relaxation Therapy methods   MeSH
• Vision, Ocular * MeSH
• Visual Perception MeSH
• Check Tag
• Humans MeSH
• Publication type
• Popular Work MeSH

• Keywords
• palming,
• MeSH
• Humans MeSH
• Massage methods   MeSH
• Eye MeSH
• Self Care * methods   MeSH
• Computers MeSH
• Relaxation Therapy methods   MeSH
• Vision, Ocular * MeSH
• Check Tag
• Humans MeSH
• Publication type
• Popular Work MeSH

• Keywords
• sunning,
• MeSH
• Humans MeSH
• Computers MeSH
• Vision Disorders * prevention & control   MeSH
• Sunlight MeSH
• Darkness MeSH
• Check Tag
• Humans MeSH

• MeSH
• Humans MeSH
• Blinking * MeSH
• Eye MeSH
• Self Care MeSH
• Computers MeSH
• Health Promotion methods   MeSH
• Vision, Ocular MeSH
• Check Tag
• Humans MeSH

• Keywords
• periferní vidění,
• MeSH
• Humans MeSH
• Computers MeSH
• Vision Disorders prevention & control   rehabilitation   MeSH
• Vision, Ocular MeSH
• Check Tag
• Humans MeSH

Publikace se zaměřuje na souvislosti mezi mozkem a myslí, duševními stavy, duševními poruchami a lidským chováním. Určeno odborné i širké veřejnosti.; Rozšířené vydání publikace, jež se věnuje zásadním otázkám fungování lidského mozku, mysli a podstatě duševních poruch.

• MeSH
• Behavior MeSH
• Mental Disorders MeSH
• Mental Processes MeSH
• Mind-Body Relations, Metaphysical MeSH
• Brain * MeSH
• Brain Diseases MeSH
• Neurobiology MeSH
• Neuropsychology MeSH
• Psychophysiology MeSH
• Publication type
• Popular Work MeSH

• Conspectus
• Patologie. Klinická medicína
• NML Fields
• neurovědy
• neurologie
• psychologie, klinická psychologie
• NML Publication type
• kolektivní monografie

BACKGROUND: Over the past 25 years, the development of multiuser applications has seen considerable advancements and challenges. The technological development in this field has emerged from simple chat rooms through videoconferencing tools to the creation of complex, interactive, and often multisensory virtual worlds. These multiuser technologies have gradually found their way into mental health care, where they are used in both dyadic counseling and group interventions. However, some limitations in hardware capabilities, user experience designs, and scalability may have hindered the effectiveness of these applications. OBJECTIVE: This systematic review aims at summarizing the progress made and the potential future directions in this field while evaluating various factors and perspectives relevant to remote multiuser interventions. METHODS: The systematic review was performed based on a Web of Science and PubMed database search covering articles in English, published from January 1999 to March 2024, related to multiuser mental health interventions. Several inclusion and exclusion criteria were determined before and during the records screening process, which was performed in several steps. RESULTS: We identified 49 records exploring multiuser applications in mental health care, ranging from text-based interventions to interventions set in fully immersive environments. The number of publications exploring this topic has been growing since 2015, with a large increase during the COVID-19 pandemic. Most digital interventions were delivered in the form of videoconferencing, with only a few implementing immersive environments. The studies used professional or peer-supported group interventions or a combination of both approaches. The research studies targeted diverse groups and topics, from nursing mothers to psychiatric disorders or various minority groups. Most group sessions occurred weekly, or in the case of the peer-support groups, often with a flexible schedule. CONCLUSIONS: We identified many benefits to multiuser digital interventions for mental health care. These approaches provide distributed, always available, and affordable peer support that can be used to deliver necessary help to people living outside of areas where in-person interventions are easily available. While immersive virtual environments have become a common tool in many areas of psychiatric care, such as exposure therapy, our results suggest that this technology in multiuser settings is still in its early stages. Most identified studies investigated mainstream technologies, such as videoconferencing or text-based support, substituting the immersive experience for convenience and ease of use. While many studies discuss useful features of virtual environments in group interventions, such as anonymity or stronger engagement with the group, we discuss persisting issues with these technologies, which currently prevent their full adoption.

• MeSH
• Mental Disorders therapy   MeSH
• Mental Health MeSH
• Humans MeSH
• Mental Health Services * MeSH
• Telemedicine MeSH
• Videoconferencing MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Review MeSH
• Systematic Review MeSH

The advent of cryo-electron microscopy (cryo-EM) and cryo-electron tomography (cryo-ET), coupled with computational modeling, has enabled the creation of integrative 3D models of viruses, bacteria, and cellular organelles. These models, composed of thousands of macromolecules and billions of atoms, have historically posed significant challenges for manipulation and visualization without specialized molecular graphics tools and hardware. With the recent advancements in GPU rendering power and web browser capabilities, it is now feasible to render interactively large molecular scenes directly on the web. In this work, we introduce Mesoscale Explorer, a web application built using the Mol* framework, dedicated to the visualization of large-scale molecular models ranging from viruses to cell organelles. Mesoscale Explorer provides unprecedented access and insight into the molecular fabric of life, enhancing perception, streamlining exploration, and simplifying visualization of diverse data types, showcasing the intricate details of these models with unparalleled clarity.

• MeSH
• Cryoelectron Microscopy * methods   MeSH
• Models, Molecular * MeSH
• Software * MeSH
• Viruses chemistry   ultrastructure   MeSH
• Publication type
• Journal Article MeSH

Současný pracovní svět právě prožívá velký vývojový skok - prezenční kulturu, která zde převládala po celá desetiletí, nevyhnutelně doplňuje práce na dálku. Firmy by proto měly co nejdříve profesionalizovat hybridní modely práce, aby byly i nadále konkurenceschopné a mohly prosperovat i v budoucnu.; ZÁKLADNÍ PŘÍRUČKA PRO HYBRIDNÍ PRÁCI ***** Současný pracovní svět právě prožívá velký vývojový skok – prezenční kulturu, která zde převládala po celá desetiletí, nevyhnutelně doplňuje práce na dálku. Firmy by proto měly co nejdříve profesionalizovat hybridní modely práce, aby byly i nadále konkurenceschopné a mohly prosperovat i v budoucnu. ***** Teresa Hertwig, odbornice na práci na dálku, předkládá v této knize konkrétní a praktické návody na úspěšnou realizaci hybridních modelů práce a zároveň jasně pojmenovává překážky a úskalí. Prostřednictvím zajímavých rozhovorů se zástupci nejrůznějších společností, od zavedených koncernů až po mladé start-upy, přináší náhledy do každodenní praxe odvážných a progresívních managementů a firem. Nepostradatelný průvodce pro všechny firmy, které chtějí být připravené a mít náskok.