± HEALTH Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and gener…+ HEALTH Background Discharge letters are essential for continuity of care, yet patients often misunderstand their con…± HEALTH Hematoxylin and Eosin (H&E) glass slide preparation is fundamental to histopathology. Pathologists' expertise…+ CLIMATE Traditional soil heavy metal risk assessments suffer from fragmented indices and poor logical integration. Co…± HEALTH Background Neonatal pneumothorax can progress rapidly, yet detection on supine chest radiographs remains chal…+ HEALTH T cell exhaustion has widespread implications for the progression and treatment of chronic diseases including…+ HEALTH Background Standard pulmonary arterial hypertension (PAH) risk models may not fully apply to PAH associated w…+ HEALTH Objectives To map and synthesize the scientific evidence regarding the use of Augmented Reality (AR) and Mixe…
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1046 published stories · page 25 of 70

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Mortality prediction of road traffic crash with artificial intelligence: a systematic review

Background Road traffic crashes cause substantial global mortality and disability. Conventional injury severity scores may not fully capture the complex interactions among demographic, clinical, crash and environmental factors. Artificial intelligence and machine learning may improve mortality prediction by modelling non-linear patterns in traffic crash data. Methods This systematic review followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidance. PubMed/MEDLINE, Web of S…

Injury Prevention · Health

Mortality prediction of road traffic crash with artificial intelligence: a systematic review
Urinary volatilomics using liquid-liquid extraction and gas chromatography-mass spectrometry (GC-MS) combined with machine learning algorithms as a tool for diagnosis and surveillance of urothelial bladder cancer
Evidence-backed gain

Urinary volatilomics using liquid-liquid extraction and gas chromatography-mass spectrometry (GC-MS) combined with machine learning algorithms as a tool for diagnosis and surveillance of urothelial bladder cancer

Background Bladder cancer is the 11th most common cancer in the United Kingdom, with approximately 10,500 new cases annually. Diagnosis and surveillance typically involve cystoscopy, an expensive, time-consuming, and uncomfortable procedure which has encouraged efforts to identify biomarkers, particularly in urine, given its direct contact with malignant tissue. Methods Urine collected from 100 participants (50 bladder cancer patients, 50 controls) was subjected to solvent extraction followed by gas chromatograp…

Health
Quality assessment of artificial intelligence responses in erectile dysfunction: a comparative study based on EAU recommendations
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Quality assessment of artificial intelligence responses in erectile dysfunction: a comparative study based on EAU recommendations

Artificial intelligence (AI)-based language models are increasingly explored as tools for interpreting and applying clinical guideline recommendations. In urology, the European Association of Urology (EAU) recently introduced a guideline-specific chatbot; however, its comparative performance relative to contemporary general-purpose large language models (LLMs) remains unclear. In this structured comparative study, five AI systems-the EAU Guidelines Bot, ChatGPT-5, Gemini 2.5 Pro, Copilot - Smart GPT-5, and Perpl…

Health
A clinically validated framework for auditing AI chatbot behavior in mental health interactions
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A clinically validated framework for auditing AI chatbot behavior in mental health interactions

Millions of users turn to consumer artificial intelligence chatbots to discuss emotional, behavioral and mental-health concerns, creating an urgent need for rigorous and scalable safety evaluations. Here we introduce simulated (SIM) vulnerability-amplifying interaction loops (VAILs) (SIM-VAIL), a clinically validated framework for auditing chatbot behavior in mental-health contexts. SIM-VAIL simulates users with specific psychiatric vulnerabilities and conversational intents, engages them in multi-turn conversat…

Crime
AI-based augmentation of oncology clinical trials
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AI-based augmentation of oncology clinical trials

Oncology clinical trials are often characterized by slow accrual, high failure rates and limited generalizability, reflecting both biological complexity and operational inefficiencies. Advances in artificial intelligence (AI) - enabled by large-scale electronic health record datasets and machine learning methods - offer new opportunities to address these challenges across the clinical trial lifecycle. In this Review, we discuss applications of AI across pre-trial design, trial conduct, and post-trial inference a…

Health
Assessing scale and predictive diversity in models for single-cell transcriptomics based on Geneformer
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Assessing scale and predictive diversity in models for single-cell transcriptomics based on Geneformer

Author summary Single-cell analysis helps researchers understand how genes work together inside individual cells, and recent artificial intelligence models have shown strong potential for uncovering these patterns. However, many existing approaches do not fully account for how this data is structured, and often assume that using more training data will always improve performance. In this study, we introduce GFCAB, a model designed to better match the way single-cell data are organized. By reducing repeated predi…

Science

GTA 6 publisher removes fake AI videos and fuels anticipation for third trailer

Take-Two Interactive, the company responsible for the highly anticipated game Grand Theft Auto 6 (GTA 6), intensified the removal of fake videos generated by artificial intelligence (AI) on online platforms, starting July 24, 2026. This action, based on the Distributed Copyright Act (DMCA), occurs in a period of great expectation for the release of a […]

Media & Arts
GTA 6 publisher removes fake AI videos and fuels anticipation for third trailer

Deep learning-based physical exercise assessment of older adults using single-camera videos

Author summary Staying physically active is essential for older adults to maintain their independence, but many residents in care homes do not receive the individualized exercise supervision they need. We explored how artificial intelligence can help fill this gap. In our study, we developed a computer system that can watch a person exercise through a single video camera and automatically evaluate how well the exercises are performed. Specifically, the system identifies which exercise is being done and estimates…

Health
Deep learning-based physical exercise assessment of older adults using single-camera videos

AI analysis finds £71,000 painting dismissed as copy is a Caravaggio

He is one of the most revered artists in western art, yet just a few dozen works by Caravaggio have survived. Now the 17th-century master’s hand has been confirmed in a painting that Sotheby’s and the Metropolitan Museum in New York had dismissed as a mere copy. Scientific analysis of The Lute Player, which was bought for Badminton House in Gloucestershire in the 18th century, has concluded that it is by Caravaggio, with a probability of 85.7%. Tests involving artificial intelligence showed a “strong match” with…

Media & Arts
AI analysis finds £71,000 painting dismissed as copy is a Caravaggio

Patient Harm From Orthodontic Care (Part II): Incident Analysis of Contributory Factors and Perceived Avoidability of Harm

Background Patient safety, defined as the absence of avoidable harm, in orthodontics is still in its early stages of development. Knowledge on the subject is limited. Aim (1) To conduct an incident analysis, (2) to measure avoidability, (3) to investigate the relationship between contributory factors and perceived avoidability of harm from orthodontic care, and (4) to suggest methods to mitigate potential patient harm incidents. Materials and methods Data were retrospectively collected from consecutively filed o…

Health
Patient Harm From Orthodontic Care (Part II): Incident Analysis of Contributory Factors and Perceived Avoidability of Harm

Ethical considerations for multimodal artificial intelligence in healthcare

Multimodal artificial intelligence (MMAI) is transforming biomedicine by integrating heterogeneous data, e.g., images, speech, behavior, physiological signals, and text, into unified representational spaces. This enables powerful cross-modal inference and data synthesis, with potential gains in diagnostic accuracy, early detection, and patient support. However, these capabilities introduce ethical challenges that exceed existing AI governance frameworks. MMAI can infer sensitive information without patient aware…

Health
Ethical considerations for multimodal artificial intelligence in healthcare

First-stage assessment of AI-based anatomical measurement accuracy for the Cameriere European dental age estimation method

Aim This study represents the first methodological stage of a broader AI-assisted Cameriere European dental age estimation workflow. The aim of this first stage was to evaluate the performance of YOLOv8-based deep learning models in automatically detecting the anatomical landmarks and apical structures required for the Cameriere European method. Rather than directly estimating dental age, the proposed system was designed to automate the measurement-related inputs needed for subsequent Cameriere European-based ag…

Health
First-stage assessment of AI-based anatomical measurement accuracy for the Cameriere European dental age estimation method