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Is it time to enter the Tillyverse? Seven things you need to know about AI ‘actor’ Tilly Norwood

Could Tilly Norwood be Hollywood’s next big name? She’s been billed as the next Scarlett Johansson, was profiled by the New York Times Magazine, and has just landed her first feature role. She is also AI-generated. Stay with me here! It seems that the widespread dismay that greeted Tilly (Norwood?) on her first appeance a year ago has done nothing to quell her (its?) ambitions to make it in the movies. She may be nothing but a pleasingly visualised bunch of code, but it seems we are bound to keep on hearing abou…

The Guardian · Lifestyle

Is it time to enter the Tillyverse? Seven things you need to know about AI ‘actor’ Tilly Norwood

Model-prefilled problem

Wyoming tightens wastewater rules after Meta datacenter contractor flushed contaminated water

Officials in Wyoming said a contractor for Mark Zuckerberg’s tech company, Meta, flushed bacteria-contaminated water into public sewers during construction of a controversial new AI datacenter. The incident prompted water authorities in Cheyenne to implement strict safety regulations on how wastewater from such projects is disposed of, according to the Wyoming Tribune Eagle, which first reported the incident. Meta has ordered its general contractor, Fortis, to cooperate with the Cheyenne board of public utilitie…

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Chelsea flower show garden designers clash over use of AI

With glasses of champagne sipped among the peonies, Chelsea flower show is generally a friendly and genteel occasion. But this year, the secateurs have been drawn as gardeners clash over the use of AI in designing the exhibits. Matt Keightley, an award-winning designer who has created gardens for figures including Prince Harry, is using artificial intelligence to design his garden for the prestigious show, held at the Royal Hospital gardens in Chelsea, London, next week. He is launching a new app, Spacelift, whi…

Lifestyle

Both readings

Sex differences in CT-FFR of myocardial bridging with or without atherosclerosis: an AI-based quantitative study

Background: Myocardial bridging (MB) is a prevalent coronary anomaly with potential links to major adverse cardiac events. While computed tomography-derived fractional flow reserve (FFRCT) offers a non-invasive functional assessment, current evidence predominantly treats MB as a homogeneous entity, overlooking potential sex differences in hemodynamic impact. Existing studies often fail to distinguish between isolated MB and MB with concomitant atherosclerosis, and rarely employ sex-stratified analyses. This stud…

Health

Both readings

Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review

Background: As physicians spend up to twice as much time on electronic health record tasks as on direct patient care, digital scribes have emerged as a promising solution to restore patient-clinician communication and reduce documentation burden-making it essential to study their real-world impact on clinical workflows, efficiency, and satisfaction. Objective: This study aimed to synthesize evidence on clinician efficiency, user satisfaction, quality, and practical barriers associated with the use of digital scr…

Health

Both readings

Artificial Intelligence for Cervical HPV Infection and Lesion Screening: A Cross-Sectional Analysis of Its Application Potential and Patient Satisfaction

OBJECTIVE: This cross-sectional study aimed to explore the application potential of artificial intelligence (AI) in screening and diagnosing cervical human papillomavirus (HPV) infection and lesions, and to assess patient satisfaction with the current diagnostic and therapeutic process as well as their unmet needs. METHODS: An online cross-sectional survey was conducted via the Questionnaire Star platform, and 308 valid responses were collected. Descriptive statistics were used to summarize participants' demogra…

Health

Model-prefilled gain

Implementation of an AI-driven hierarchical medical system for chronic disease management: ethical framework, resource optimization, and effectiveness evaluation

Objective The aim of this study was to assess the integration pathways and ethical frameworks associated with the use of artificial intelligence (AI) within hierarchical medical systems for chronic disease management, and quantitatively assess its impact on healthcare resource allocation efficiency and treatment outcomes. Methods A four-dimensional closed-loop model comprising data collection, decision intervention, resource scheduling, and outcome feedback was used to structure the system. This analysis incorpo…

Health

Skyer: a novel benchmark for evaluating the effectiveness of large language models in emergency department triage

OBJECTIVES: Emergency department (ED) overcrowding causes diagnostic challenges, prolonged wait times, and impairs appropriate triage, often due to human error and fatigue. Large language models can assist ED staff in triage, improving patient care by mitigating these problems. METHODS: We designed an evaluation method (Skyer benchmark) to assess fifteen large language models, including DeepSeek-R1 (70B, 7B), ChatGPT versions (4, 4.5-preview), Gemini iterations (1.5-pro, 2.0-Pro-experimental, 2.5_03-25, 2.5_05-0…

Health

Skyer: a novel benchmark for evaluating the effectiveness of large language models in emergency department triage

Performance evaluation of five major large language models in tuberculosis Q&A systems: A multidimensional assessment of readability, quality, and reliability

Background: Pulmonary tuberculosis (TB) is a chronic infectious disease that burdens patients and public health systems. Limited reach of traditional education and uneven online information may undermine patients' understanding, adherence, and trust. Large language models (LLMs) show promise for TB health education, but systematic evaluation is lacking. Objective: To evaluate five large language models in pulmonary tuberculosis Q&A (Question and Answer) scenarios and examine the effects of different large langua…

Health

Performance evaluation of five major large language models in tuberculosis Q&A systems: A multidimensional assessment of readability, quality, and reliability

Mapping artificial intelligence integration in objective structured clinical examinations: A scoping review

INTRODUCTION: Objective Structured Clinical Examinations (OSCEs) are widely used to assess clinical competence, but face challenges related to examiner workload, scoring variability, delayed feedback, and resource demands. Although AI may address these constraints and support precision medical education, the evidence remains fragmented. This scoping review maps AI applications in OSCEs. METHODS: We followed PRISMA-ScR. We searched MEDLINE, Scopus, Embase, Web of Science, ERIC, LILACS, and IEEE Xplore from incept…

Health

Mapping artificial intelligence integration in objective structured clinical examinations: A scoping review

Combining pathology artificial intelligence and genomic biomarkers to refine long-term postprostatectomy outcome prediction

BACKGROUND: A multimodal AI (MMAI) model has been validated in prostate biopsy specimens to guide treatment intensification in men receiving radiation. The MMAI has been explored to an extent for prostatectomy patients and has not yet been examined in relation to established genomic scores. METHODS: We applied the MMAI biopsy model to a tissue microarray (TMA) of 424 prostatectomy cases with long-term follow-up. MMAI scores were derived from digitized pathology images and clinical variables. Associations with bi…

Health

Combining pathology artificial intelligence and genomic biomarkers to refine long-term postprostatectomy outcome prediction

Revealed: landmark Scottish AI project has no prospect of meeting renewables promise

A landmark AI development billed as delivering jobs and prosperity has misrepresented its plans to channel a nuclear reactor’s worth of power to a site in rural Scotland, a Guardian investigation has found. When it was announced in January, the government promised that an £8.2bn AI datacentre complex in Lanarkshire – built by the US firm CoreWeave and the Scottish company DataVita – would be powered entirely from on-site renewables and built by 2030. The AI datacentre complex represented a large part of Britain’…

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Revealed: landmark Scottish AI project has no prospect of meeting renewables promise

Improving turnaround times with artificial intelligence in microbiology

This dual-center study evaluated the impact of artificial intelligence (AI) on urine culture turnaround times in Canadian diagnostic laboratories using microbiology laboratory automation. Data were collected before and after the implementation of PhenoMATRIX (PM), an AI-based software that provides continuous culture sorting and result interpretation support. In both a low-volume tertiary care hospital and a high-volume community laboratory, PM enabled earlier availability of interpretable results; however, redu…

Health

Improving turnaround times with artificial intelligence in microbiology

Artificial Intelligence for Evidence Synthesis of Emerging Biologics to Improve Skeletal Health in Osteogenesis Imperfecta: Systematic Review and Meta-Analysis

Background: Osteogenesis imperfecta (OI) is a rare genetic disorder characterized by bone fragility and recurrent fractures. Emerging biologics demonstrate promise by targeting bone-remodeling pathways, yet evidence for their efficacy and safety remains fragmented and heterogeneous, and no prior systematic review in OI has incorporated artificial intelligence (AI) to synthesize it. Objective: This study aims to systematically evaluate the efficacy and safety of novel biologics in patients with OI using an AI-ass…

Health

Signs of psychosis seen in Australian users’ interactions with AI chatbots, expert warns

A leading AI expert has warned some Australians are showing signs of psychosis or mania in their interactions with chatbots, arguing Silicon Valley is being “careless” with the technology amid a pursuit of profit. During an address at the National Press Club on Wednesday, Toby Walsh, scientia professor of artificial intelligence at the University of New South Wales, said he believed the AI race will be both “boom and doom”, with some benefits. But his speech – a copy of which was provided to Guardian Australia –…

Other

Signs of psychosis seen in Australian users’ interactions with AI chatbots, expert warns