Background Peripheral artery disease (PAD) outcomes often rely on the expertise of individual vascular units, introducing potential subjectivity into staging. This retrospective, multicenter cohort study aimed to demonstrate ability artificial intelligence (AI) provide staging based inter-institutional by predicting limb in post-interventional pedal angiograms PAD patients, specifically comparison inframalleolar modifier Global Limb Anatomic Staging System (IM GLASS). Methods We used...

With this editorial, we inaugurate the next issue of our journal, which introduces and explores term Science 3.0, defined as human research driven by decentralized AI agents.

This study aimed to develop a web-based machine learning (ML) model predict the lifetime likelihood of developing varicose veins using global disease prevalence data. We utilized data from systematic review, registered under PROSPERO (CRD42021279513), which included 81 studies on vein across various geographic regions. The used build ML as outcome (%), along with following predictors: mean age, gender distribution body mass index (BMI) cohort, and gravity field region (mGal), representing...

Aim: This basic research study aimed to assess the ability of Web AI Vision classify anatomical movement patterns in real-time B-mode ultrasound scans for controlling a virtual bionic limb. Methods: A MobileNetV2 model, implemented via TensorFlow.js library, was used transfer learning and feature extraction from 400 images distal forearm one individual participant, corresponding four different hand positions: 100 fist position, thumb palmar abduction, with an extended forefinger, open palm....

The aim of this study was to investigate the potential novel automated machine learning (AutoML) in vascular medicine by developing a discriminative artificial intelligence (AI) model for classification anatomical patterns peripheral artery disease (PAD).

With this editorial, we inaugurate the next issue of our journal, which is dedicated to showcasing AI, ML, and E-Health projects within real healthcare environments.

Aim: The aim of this study was to assess the opinion natural science specialists on latest recommendations official regulators regarding prevention causes social disparities in artificial intelligence (AI) and machine learning (ML) models. Materials Methods: An anonymous online survey conducted using Telegram platform, where participants were asked a single question: "Is inclusion predictors such as “nationality” “immigrant status” AI ML medical models ethical consistent with contemporary...

Aim: This study aimed to develop a TensorFlow Lite algorithm for angiography classification and deploy it on basic mobile smartphone device, thereby verifying the proof of concept creating comprehensive end-to-end computer vision application vascular medicine. Materials Methods: After ethical approval by local ethics committee, we collected institutional open source peripheral angiograms lower limbs. The were labeled researcher with more than 10 years experience in surgery. labeling included...

Aim This study examines the association between right heart diastolic function and clinical presentation of chronic venous disease primary varicose veins lower extremities. Material methods We performed retrospective analysis clinical, peripheral Duplex tricuspid Doppler (early inflow E-wave, late A-wave, ratios E to A waves, early annular e′-wave, a′-wave systolic s′- wave) data 85 patients, 133 legs with veins. Results found following significant (p-value < 0.05) associations veins:...

Aim: The aim of this study was to assess the acceptance among natural science specialists current official regulatory recommendations avoid utilizing artificial intelligence (AI) and machine learning (ML) models that could exacerbate social disparities. Materials Methods: An anonymous online survey conducted using Telegram platform, where participants were asked a single question: "Do you consider inclusion religious status in AI ML justified from perspective medical ethics science?"...

This is the first editorial of journal, discussing balance between humans and AI in healthcare emphasizing need for a human-centric approach ML applications.

Aim: The primary aim of this study was to investigate and compare the opinions professional groups responsible for development medical AI ML models regarding use those their own treatment. Materials Methods: This survey conducted through a blend private interviewing anonymous online polling, utilizing platforms such as Telegram, LinkedIn, Viber. target audience comprised specific international groups, primarily Russian, German, English-speaking, healthcare IT practitioners. These...

Aim: The majority of machine learning (ML) models in healthcare are built on retrospective data, much which is collected without explicit patient consent for use artificial intelligence (AI) and ML applications. primary aim this study was to evaluate whether clinicians scientific researchers themselves provide their own data the training models. Materials Methods: This survey conducted through an anonymous online survey, utilizing platforms such as Telegram, LinkedIn, Viber. target audience...

Aim This study examines the characteristics of cardiac Doppler in patients with primary varicose veins lower extremities. Material and methods We performed retrospective descriptive statistical analysis data 85 compared obtained parameters normal values. Results Patients comparison controls have significantly early diastolic mitral tricuspid inflow velocities (E wave), higher late annular (A a′ waves), systolic (s′ they (e′ wave). Conclusion Cardiac differs from actual Possible mechanism...

Aim This study examines respiratory biometry of inferior vena cava in patients with varicose veins lower extremities. Material and Methods We performed retrospective analysis clinical ultrasound data 67 primary veins. Results The largest expiratory (mean 16.2 mm, p-value 0.09) inspiratory 8.2 0.02) diameters were C3 Clinical Etiological Anatomical Pathophysiological class; the smallest 13.1 0.5) C6 4.6 intercept) C2 class. class was associated highest collapsibility index 68.2%, intercept);...

This study examines the interactions between central venous and cardiac sonomorphologies to explain mechanism of impaired heart relaxation in patients with varicose veins lower extremities.Part 1: We performed retrospective analysis influences inferior vena cava (IVC) diameters on tricuspid mitral inflow annular velocities 64 primary veins. Part 2: compared IVC collapsibility index (IVC CI) normal values.We found a significant positive influence an increase maximal expiratory minimal...

Only 200 out of 300,000 AI/ML-related original publications on PubMed focus human-centered settings. Why is human wellbeing often overlooked in medical AI research?

Aim: The anticancer properties of locally applied infrared radiation are widely discussed in the literature. Earth's global emissivity, or emitted by our planet, is inhomogeneous and varies based on geophysical characteristics region where one resides. This study aimed to test hypothesis: does local emissivity influence prevalence malignant diseases a region. Materials Methods: We performed planimetric comparison two World maps: 1. NASA Spacecraft Map Global Emissivity; 2. GLOBOCAN 2020...

The integration of Artificial Intelligence (AI) into healthcare represents a paradigm shift towards more personalized, efficient, and effective patient care. @AI_4_Healthcare initiative on X (formerly Twitter), founded solely authored by Walter Robinson, emerges as pioneering project aimed at democratizing knowledge about AI’s role in healthcare. Through unique blend personal experience, professional insights, dedicated social media strategy, this aims to foster an informed engaged...

Only 200 out of 300,000 AI/ML-related original publications on PubMed focus human-centered settings. Why is human wellbeing often overlooked in medical AI research?

This report examines the disproportionate media focus on AI and ML investments compared to humanitarian environmental issues. It questions ethical implications of this trend trustworthiness mass in balancing technological advancements with human-centric concerns.

Aim: This study aims to assess the capabilities of artificial intelligence (AI) in answering online Continuing Medical Education (CME) courses find resistant AI-misuse strategies. Materials and Methods: The evaluated 30 CME from popular American (ACCME), European (EACCME), German Association accredited platforms, including Medscape, eaccme.uems.eu, Springer Nature, der-niedergelassene-arzt, Aerzteblatt. ChatGPT Version 4.0 with integrated plugins for interactive AI chats documents, web...

This report explores the rapid advancements in AI and ML applications healthcare over recent years, focusing on journals like NEJM as key examples. It critically examines composition of their editorial boards, highlighting a gap clinical experience that raises questions about human-centric nature sustainability current research standards.

Xavatar is a media, educational, and therapeutic platform specializing in immersive virtual reality (VR) augmented (AR) content, as well seamless interconnectivity across various devices such mobiles, tablets, computers. It aimed at improving the lives of patients with chronic mobility communication disorders, including dementia, Alzheimer's, autism, immobility, isolation, long-term hospitalization. The project represents fusion digital technologies Metaverse, artificial intelligence (AI),...