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1313 published stories · page 24 of 88

HealthBoth readings

AI‐Driven Personalized Nutrition: Integrating Omics, Ethics, and Digital Health

Personalized nutrition (PN) aims to prevent and manage chronic diseases by providing individualized dietary guidance based on genetic, metabolic, and lifestyle data. Artificial intelligence (AI) has become a key enabler in PN by analyzing large-scale, multiomics datasets in obesity, diabetes, cardiovascular, and gastrointestinal disorders, where digital twins and health knowledge graphs support personalized interventions. Current findings demonstrate that AI models can guide microbiome-based dietary intervention…

Molecular Nutrition & Food Research

Evidence-backed gain

GIN-CRC-Pareto: A graph-based pareto-optimized multi-task learning framework to identify miRNA-target interactions in colorectal cancer

Evidence-backed gain

Improving 10-year cardiovascular disease risk prediction using automated machine learning

Both readings

Dual-Approach AI for Pediatric Supracondylar Fractures: Multiclass Radiograph Classification with Explainable AI and Diagnostic Meta-analysis of AI-Based Computational Approaches

Both readings

Hands-on Artificial Intelligence Education for Radiology Residents: A Three-year Feasibility and Curriculum Implementation Study

Rationale and objectives Artificial intelligence (AI) has rapidly transformed radiology practice, yet structured and practical AI education remains inconsistently integrated into radiology residency training. We developed and implemented a hands-on AI curriculum designed to integrate core computational principles with clinically relevant imaging applications. This study describes the curriculum design and evaluates its feasibility, reproducibility, and preliminary educational outcomes over three consecutive year…

Evidence-backed problem

The Translational Gap in AI for Oropharyngeal Squamous Cell Carcinoma: A TRIPOD+AI Scoping Review of Methodological Barriers to Treatment Deintensification

Rationale and objectives To map artificial intelligence (AI) and radiomics applications in computed tomography (CT), magnetic resonance imaging (MRI), and fluorodeoxyglucose positron emission tomography/CT (FDG-PET/CT) for oropharyngeal squamous cell carcinoma (OPSCC) in the context of human papillomavirus (HPV) status and treatment deintensification, evaluate reporting quality using TRIPOD+AI (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis + Artificial Intelligen…

Evidence-backed gain

Ultrasound Habitat Radiomics for Preoperative Prediction of Invasive Breast Cancer With a DCIS Component: A Dual-center Retrospective Study

Purpose To develop and externally validate an ultrasound-based habitat subregional radiomics model for preoperative prediction of invasive breast cancer with concomitant ductal carcinoma in situ (IBC-DCIS). Methods A total of 1063 pathologically confirmed breast cancer patients from two centers were retrospectively enrolled and divided into a training cohort (n = 637) and an external validation cohort (n = 426). Tumor regions of interest were manually delineated on two-dimensional ultrasound images and further p…

Evidence-backed problem

Occupational Vulnerability to AI-Driven Change: The Role of Skill Composition, Task Structure, and Psychosocial Buffers

Background Automation risk is often framed as a question of which jobs can be automated. This perspective neglects how the structure of work itself shapes workers' vulnerability to AI-driven change. In occupational health research, job characteristics such as autonomy, task variety, and social interaction are known to influence worker well-being, yet are rarely incorporated into assessments of AI-related occupational risk. Methods To capture this complex vulnerability, this study distinguishes between Automation…

Health

Artificial Intelligence Accurately Assists in Billing for Orthopaedic Lower Extremity Surgery: Performance of the Mistral-NeMo Language Model

Purpose To elucidate Mistral-NeMo's proficiency as a novel artificial intelligence assistant to verify coding accuracy and improve efficiency in manual medical coding practices in orthopaedic surgery. Methods This study tested Mistral-NeMo on 1000 operative notes labeled with the Current Procedural Terminology (CPT) codes from 177 providers. In total, there were 46 unique CPT codes; the most common were 29881 (knee arthroscopy with meniscectomy for both medial and lateral menisci), 29880 (knee arthroscopy with m…

Media & Arts

Danny Boyle reveals he used AI in upcoming drama 'Ink'

Danny Boyle utilized AI technology to craft 30 seconds of imagery for his Rupert Murdoch drama Ink, which debuted at Venice and Telluride film festivals.

Media & Arts

Danny Boyle confirms generative AI use in new movie

Oscar-winning filmmaker Danny Boyle has confirmed that generative artificial intelligence was used for around 30 seconds in his new film 'Ink', which chronicles the rise of British tabloid newspaper The Sun in the 1970s.

Education

I’m a father of three who studies the impact of artificial intelligence: this is what parents need to know about AI

When I was growing up, my dad and I often talked about a story we wanted to write together. It was called “The Day Nobody Went to Disneyland”. One day, the story goes, the weather is so perfect that everyone in the world decides to stay away from Disneyland because they expect it to be far too busy. But my dad, who has the same thought as them, sees the disappointment on my face that morning – and decides to risk it. We set off. And when we arrive, the park is completely empty. Nobody else was brave enough to vi…

Policy

Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning

Introduction: This mixed methods study examines the effects of AI-mediated language instruction on English learning achievement, L2 motivation, and self-regulated learning among English as a Foreign Language (EFL) learners. It addresses the increasing interest in AI-driven educational technologies and their potential to revolutionize language instruction. Methods: Two intact classes, consisting of a total of 60 university students, participated in this study. The experimental group received AI-mediated instructi…

Health

The tire antioxidant derivative 6PPD-quinone exacerbates IBD by targeting NR1H4-mediated lipid metabolism and mitochondrial dysfunction in human colon epithelial cells

N- (1,3-Dimethylbutyl)-N'-phenyl-p-phenylenediamine quinone (6PPD-Q), a tire rubber antioxidant derivative, accumulates in air, soil, and water and has been found in urine, blood, and cerebrospinal fluid, posing significant health risks. Although 6PPD-Q exhibits intestinal toxicity, its role in inflammatory bowel disease (IBD) remains unclear. The objective of this study was to identify key molecular targets of 6PPD-Q in IBD and to validate their involvement in 6PPD-Q-induced intestinal epithelial cell injury. U…

Health

Canadian Medical Students Interested in Radiology Report Greater Perceived Importance of Procedural Roles and Greater Career Sustainability Amid Artificial Intelligence

Rationale and objectives Artificial intelligence (AI) integration and perceptions of radiology's procedural scope may influence medical students' interest in radiology. We aimed to determine whether perceptions of radiology's scope and AI integration differed according to student interest in radiology. Methods An anonymous cross-sectional survey containing binary, Likert-scale, and open-ended questions was distributed to medical students at a Canadian institution (N=73; 19.7% effective response rate). Responses…