Towards a World Wide Web powered by generative AI

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 28, 2025

Abstract Generative Artificial Intelligence (AI) is a cutting-edge technology capable of producing text, images, and various media content leveraging generative models user prompts. Between 2022 2023, AI surged in popularity with plethora applications spanning from AI-powered movies to chatbots. This paper investigates the potential within realm World Wide Web, specifically focusing on image generation. Web developers already harness help craft text while browsers might use it future locally generate images for tasks such as repairing broken webpages, conserving bandwidth, enhancing privacy. To explore this research area, developed WebDiffusion , tool that allows simulate powered by stable diffusion, popular text-to-image model, both client server perspective. Such first its kind, paving way towards futuristic world wide web where can be created using AI. further supports crowdsourcing opinions, which used evaluate quality accuracy 409 AI-generated sourced 60 webpages. Our findings suggest pertinent high-quality even without requiring designers manually input prompts, just contextual information available However, direct in-browser generation remains challenge, only highly powerful GPUs, A40 A100, (partially) compete classic downloads. Nevertheless, approach could valuable subset example, when fixing webpages or handling private content.

Language: Английский

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Role of Generative Artificial Intelligence in Personalized Medicine: A Systematic Review

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: April 15, 2025

Language: Английский

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Group Key Agreement Protocol Based on Multidimensional Virtual Permutation for Smart Healthcare

Published: Jan. 17, 2025

Language: Английский

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Artificial intelligence tool development: what clinicians need to know?

BMC Medicine, Journal Year: 2025, Volume and Issue: 23(1)

Published: April 24, 2025

Digital medicine and smart healthcare will not be realised without the cognizant participation of clinicians. Artificial intelligence (AI) today primarily involves computers or machines designed to simulate aspects human using mathematically neural networks, although early AI systems relied on a variety non-neural network techniques. With increased complexity layers, deep machine learning (ML) can self-learn augment many tasks that require decision-making basis multiple sources data. Clinicians are important stakeholders in use ML tools. The review questions as follows: What is typical process tool development full cycle? concepts technical each step? This synthesises targeted literature reports summarises online structured materials present succinct explanation whole tools series cyclical processes: (1) identifying clinical problems suitable for solutions, (2) forming project teams collaborating with experts, (3) organising curating relevant data, (4) establishing robust physical virtual infrastructure, computer systems' architecture support subsequent stages, (5) exploring networks open access platforms before making new decision, (6) validating AI/ML models, (7) registration, (8) deployment continuous performance monitoring (9) improving ecosystem ensures its adaptability evolving needs. A sound understanding this would help clinicians appreciate engage codesigning, evaluating facilitate broader closer regulation settings.

Language: Английский

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Revolution of Healthcare Industry

Published: Jan. 1, 2025

Language: Английский

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Enhanced Point-of-Care SARS-CoV-2 Detection: Integrating RT-LAMP with Microscanning

Biosensors, Journal Year: 2024, Volume and Issue: 14(7), P. 348 - 348

Published: July 17, 2024

The COVID-19 pandemic has highlighted the urgent need for rapid and accurate diagnostic methods various infectious diseases, including SARS-CoV-2. Traditional RT-PCR methods, while highly sensitive specific, require complex equipment skilled personnel. In response, we developed an integrated RT-LAMP-MS assay, which combines reverse transcription loop-mediated isothermal amplification (RT-LAMP) with microscanning (MS) technology detecting assay uses magnesium pyrophosphate formed during LAMP as a visual marker, allowing direct observation via microscopy without additional chemical indicators or probes. For SARS-CoV-2/IC sample-LAMP reagent mixture was added to microchip SARS-CoV-2 primers internal controls, then incubated at 62 °C 30 min in heat block, followed by analysis using microscanner. clinical tests, showed 99% sensitivity 100% specificity, is identical RT-LAMP results comparable commercial Allplex

Language: Английский

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The Role of Artificial Intelligence and Machine Learning in Accelerating the Discovery and Development of Nanomedicine

Pharmaceutical Research, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 2, 2024

Language: Английский

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Artificial intelligence empowering rare diseases: a bibliometric perspective over the last two decades

Orphanet Journal of Rare Diseases, Journal Year: 2024, Volume and Issue: 19(1)

Published: Sept. 13, 2024

To conduct a comprehensive bibliometric analysis of the application artificial intelligence (AI) in Rare diseases (RDs), with focus on analyzing publication output, identifying leading contributors by country, assessing extent international collaboration, tracking emergence research hotspots, and detecting trends through keyword bursts.

Language: Английский

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The impact of artificial intelligence on creative industries: Freelancers’ anxieties and concerns

Voprosy Ekonomiki, Journal Year: 2024, Volume and Issue: 10, P. 110 - 127

Published: Oct. 4, 2024

The article examines the impact of rapid development artificial intelligence (AI) technologies on creative industries and concerns workers in this field regarding potential deterioration their working conditions displacement from labor market. aim study is to identify degree concern among freelancers engaged intellectual professions competition with AI assess perception AI’s current capabilities making content. empirical basis was provided by online survey data 778 Russian receiving jobs through Freelance.ru digital platform, conducted spring 2024. It found that many respondents are already actively using work. majority note high creating texts, images, translation, other areas, more than a third believe coming years will be able do typical work as well or even better they it themselves. Those who were least likely experience about future individuals had been trained AI, used perform job tasks, satisfied work, level income, i.e., generally stable position Despite some workers, opens up new opportunities for industries; however, regular monitoring situation required develop measures adapt

Language: Английский

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Synthetic pulse wave dataset for analysis of vascular ageing in elderly patients

Mathematical Modelling of Natural Phenomena, Journal Year: 2024, Volume and Issue: 19, P. 20 - 20

Published: Jan. 1, 2024

This paper presents a methodology to generate synthetic pulse wave database. Each virtual subject is generated with the help of one-dimensional hemodynamics model systemic circulation lumped left heart. describes and compares two parameter optimization methods: unscented Kalman filter Bayesian optimization. As case study, an experiment conducted predict cardio-ankle vascular index (CAVI) values for real individuals machine learning algorithm trained on population. The average error 6.5% achieved

Language: Английский

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