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1357 published stories · page 46 of 91

AI-based augmentation of oncology clinical trials
HealthBoth readings

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…

Nature Reviews Clinical Oncology
Deep learning-based physical exercise assessment of older adults using single-camera videos
Evidence-backed gain

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…

AI analysis finds £71,000 painting dismissed as copy is a Caravaggio
Evidence-backed gain

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…

Health

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…

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

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…

Ethical considerations for multimodal artificial intelligence in healthcare
Health

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…

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

Integrating multi-layer perceptron and random forest in an ensemble framework for improved genomic prediction accuracy and SHAP-derived interpretability of residual feed intake in cattle

Background Feed efficiency (FE) is recognized as a vital component of sustainable dairy production, with residual feed intake (RFI) serving as a key metabolic indicator of FE independent of production levels. However, the genetic improvement of this complex trait is limited by the inability of conventional genomic Best Linear Unbiased Prediction (gBLUP) model to capture complex, non-linear genetic architectures and epistatic interactions. To address these limitations, this study aims to compare the predictive pe…

Integrating multi-layer perceptron and random forest in an ensemble framework for improved genomic prediction accuracy and SHAP-derived interpretability of residual feed intake in cattle
Education

Added Courses at Chandigarh University Uttar Pradesh, AI, Business Analytics & More to Boost Student Skills

Chandigarh [India], August 8: Chandigarh University Uttar Pradesh has integrated 12 value-added courses into its academic curriculum. These credit-based courses aim to equip students with additional skills alongside their degree, addressing demands in both the current job market and higher education. Artificial Intelligence, Business Analytics, Design Thinking and IoT will now become part of regular curriculum for students.

Added Courses at Chandigarh University Uttar Pradesh, AI, Business Analytics & More to Boost Student Skills
Media & Arts

AI takes centre stage at Photo Brussels 2025

Who’s afraid of artificial intelligence? Probably all of us are a little – but the artists at the centre of this year’s Photo Brussels festival have embraced the technology to bring us an intriguing and, at times, optimistic exploration of one of the most concerning developments of our time. The ambitious curation by the photography academic Michel Poivert gathers together 17 projects at Brussels’ Hangar gallery. Together their creations reveal the visual and intellectual potential, along with the current limits…

AI takes centre stage at Photo Brussels 2025