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Meta AI

Llama models and assistant features distributed across Meta’s global platforms.

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

Prior artificial intelligence (AI) studies have been limited to binary classification frameworks without Gartland subtype differentiation, and no diagnostic test accuracy meta-analysis specific to supracondylar fractures exists. This study

Zuckerberg pushes ‘superintelligent’ AI for all as Meta drops open-source model

Future is for Everyone,” Zuckerberg addressed a range of topics related to AI that included datacenters, govern… Meta's release of free-to-download open-weight models framed as personalized

The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence

The risks posed by artificial intelligence (AI) concern academics, auditors, policymakers, AI companies, and the

A meta-analysis of the effects of AI agent implementation on customer-level outcomes

clarify these heterogeneous findings, we conduct a meta -analysis of 468 effect sizes reported in 95 articles with 82,751 participants examining AI agent implementation across both substitution contexts (AI

News Corp is essentially an AI ‘input company’, chief executive says, after US$150m deal with Meta

London and Dow Jones was “hard to beat” as an “input” for AI. The Meta deal, which was revealed by the Mur… News Corp licensed its US and UK news

Artificial Intelligence and Machine Learning-based prediction of tuberculosis treatment failure: A systematic review and meta-analysis

systematically searched PubMed/MEDLINE and Embase (January 2000-October 2025) for studies developing or validating AI… Meta-analysis of 19 studies with 100,790 participants found AI/ML models achieved pooled discrimination

The Role of Artificial Intelligence Combined With Digital Cholangioscopy for Indeterminant and Malignant Biliary Strictures: A Systematic Review and Meta-analysis

this study was to perform a systematic review and meta-analysis to evaluate the diagnostic performance of AI-based diagnostic performance of AI-associated chol… AI-based machine learning applied

Diagnostic accuracy of AI-assisted versus independent physician interpretation for bone fractures: a systematic review and meta-analysis

Objective We systematically evaluated the diagnostic performance of artificial intelligence (AI)-assisted interpretation versus independent

Wyoming tightens wastewater rules after Meta datacenter contractor flushed contaminated water

Fortis, to cooperate with the Cheyenne board of public utilitie… A contractor building Meta's AI datacenter in Cheyenne discharged water contaminated with Cupriavidus gilardii into public sewers, leading

Ultra-widefield color fundus images and artificial intelligence for diagnosis of diabetic retinopathy: A systematic review and meta-analysis

fundus images achieved a summary sensitivity of 85.0% and AUC of 0.870 in meta-analysis. AI-driven diabetic retinopathy screening using ultra-widefield fundus images showed limited specificity

Artificial intelligence in the radiologic diagnosis of major urological cancers: a meta-analysis

pooled specificity and AUC than clinicians in a 110-study meta-analysis. In prostate cancer and MRI subgroups, AI models showed lower sensitivity than clinicians, indicating inconsistent advantage across tasks

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

followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidance. PubMed/MEDLINE, Web of S… Systematic review found AI and machine learning may improve mortality prediction after road

Human in the loop artificial intelligence in healthcare: applications, outcomes, and implementation challenges

BACKGROUND: The integration of artificial intelligence in healthcare has transformed clinical practice and research methodologies

Artificial intelligence for predicting surgical difficulty in laparoscopic cholecystectomy: a systematic review and meta-analysis

Accurately predicting operative difficulty in laparoscopic cholecystectomy (LC) is foundational to personalized surgical planning and

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

Promises and limitations of deep learning for predicting knee osteoarthritis progression from medical imaging: A systematic review

To systematically evaluate the performance, methodological quality, and translational barriers of deep learning (DL) models