Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
Between 2019 and 2024, researchers retrospectively followed 114 patients with type 2 diabetes and non-obstructive coronary artery disease who had baseline CCTA. Using AI-derived measurements of pericoronary adipose tissue and coronary plaques combined with clinical labs, they built a logistic regression nomogram to distinguish 48 patients who later had infarction, revascularization, or stenosis 265 50% from 66 who did not.
A systematic review and meta-analysis of 13 studies covering 247 sites and 158,435 patient samples evaluated federated learning models, mostly using FedAvg, against local and centralized models on diagnostic performance metrics.
Researchers combined three lung adenocarcinoma GEO transcriptome datasets with a human autophagy gene set, identified 276 shared differentially expressed autophagy genes, and used protein interaction networks plus machine learning to select five core prognostic genes ENG, CDH1, KLF4, IL6 and MMP9, validating a model based on them in independent cohort GSE68465 with AUC > 0.9 by August 2026.
By October 2025, a peer-reviewed study examined AI use in electoral management in Indonesia, Thailand, Philippines and Myanmar between 2019 and 2024, finding that biometric voter identification, cyber-based registration, and real-time result monitoring streamlined administration and improved list accuracy, particularly amplifying coordination in Thailand.
As of its publication on 2026-05-30, this peer-reviewed paper introduced the 'Synthetic Lovers' framework to categorize artificial intimacy into digital, synthetic, and virtual forms. It analyzed contemporary cases such as emotional entanglement with large language models and ceremonial weddings with AI personas, arguing these are not anomalies but symptoms of change in how intimacy is organized
A March 2026 peer-reviewed paper in The Journal of World Intellectual Property asks whether deepfakes, digital replicas and human digital twins justify personality rights in the UK. It catalogues harms from unauthorised deepfakes, including spreading misinformation, non-consensual pornographic content, and displacing creative workers, and argues the existing patchwork of passing off, IP, defamation and criminal law is inadequate.
This peer-reviewed paper examines how recent advances in Generative AI are transforming creative industries by affecting the meaningfulness of work. It applies a framework covering task integrity, skill cultivation, task significance, autonomy, and belongingness to specialist, embedded, and support creatives.
A peer-reviewed study published May 16, 2026 developed and validated a Triple-Intelligence Framework for workforce analytics that combines AI intelligence for pattern detection, human intelligence for interpretation and ethics, and organizational intelligence for governance, based on a 2017-2025 literature review.
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