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Evidence-backed gain

Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine

Artificial intelligence (AI) encompasses a broad spectrum of techniques that have been utilized by pharmaceutical companies for decades, including machine learning, deep learning, and other advanced computational methods. These innovations have unlocked unprecedented opportunities for the acceleration of drug discovery and delivery, the optimization of treatment regimens, and the improvement of patient outcomes. AI is swiftly transforming the pharmaceutical industry, revolutionizing everything from drug developm…

Pharmaceutics · Health

Model-prefilled problem

Why is gaming becoming so expensive? The answer is found in AI

When the PlayStation 5 launched almost five and a half years ago, it was listed at £449 in the UK. If you were to buy one at the recommended retail price today, it would be £569.99, or £789.99 for the updated Pro model. Sony has just raised the price of its console by another £90, the latest in a series of hikes. This is unprecedented: consoles have always decreased in price over time (until they become retro collectibles – the other day, I saw someone asking £200 for a SNES on Vinted). So, what’s going on? Unfo…

Media & Arts

Both readings

Musicians must embrace ‘unstoppable force’ of AI, Eurythmics’ Dave Stewart urges

The Eurythmics co-founder Dave Stewart has said artificial intelligence is an “unstoppable force”, and musicians and other artists should bow to the inevitable and license their music to generative AI platforms. These platforms use artificial intelligence to analyse existing songs and tracks, using that knowledge to generate completely new ones as prompted by a user. For example, someone could ask the AI platform to generate a song about a boozy night out in the style of a Britpop band, and it would draw on song…

Media & Arts

Both readings

The Reverse Centaur’s Guide to Life After AI by Cory Doctorow review – the real price of artificial intelligence

As former Google CEO Eric Schmidt could tell you, AI is a hard sell these days. Last month, he tried talking up the AI revolution during a commencement address at the University of Arizona and was loudly booed by students about to enter an AI-ravaged job market. His discombobulation was telling. Schmidt is not the only AI booster to crash out with students recently as the popular backlash grows. Every week brings a new story about some writer, publisher or academic who has torched their reputation by using an un…

Other

Both readings

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…

Lifestyle

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…

Other

Both readings

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

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

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

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

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

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

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

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