Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
Between May 2023 and May 2025, researchers retrospectively evaluated 531 multiphase CTA examinations from consecutive patients with suspected acute ischemic stroke at a single center, comparing Brainomix e-CTA automated LVO detection to expert neuroradiologist interpretation.
By July 2026, a cross-sectional study at Al-Shifa Trust Eye Hospital in Pakistan developed four CNN models on 5602 Scheimpflug-derived corneal maps from 1411 eyes to distinguish keratoconus from normal eyes, reporting internal accuracies of 98.1% to 99.2% and AUCs up to 1.00, with external validation on 85 participants confirming 97.1% to 98.3% accuracy.
Researchers built a real-time strategic decision support system for sports that combines an ID3 decision tree using entropy change with an enhanced Monte Carlo tree search that picks the maximum UCT node. Tested in basketball contexts, the system averaged about 3.13 seconds per decision and was reported to reach 74% win rate and 84% decision rationality.
Researchers built and tested a ZigBee-based wireless system that connects wearable sensors for heart rate, temperature and oxygen to cloud AI models including random forest, SVM and logistic regression. By April 2026, tests in a care facility reported 95% accuracy, 100% recall, 120 ms delay and 3.8 mW/h power use.
By April 2026, a peer-reviewed analysis described AI's growing dual role in cyberspace, where it automates anomaly detection, data analysis and incident response to enhance protection, while also enabling cybercriminals to build advanced phishing, deepfakes and hard-to-detect malware.
Published April 13, 2026, this scoping review mapped literature on AI in healthcare in low- and middle-income countries, screening sources from 2000-2025 and including 60 studies that addressed ethical, regulatory, or implementation issues.
As of May 2026, a peer-reviewed study examined AI adoption in higher education, noting its growing use to support teaching, learning, administration, quality assurance, and institutional planning. Based on interviews with 16 key informants, a focus group with 9 additional participants, and document analysis, the authors identified themes including AI as an institutional governance project and as a system-shaping force.
By April 13 2026, researchers reported results from 21 semi-structured interviews with local journalists in Germany examining use of data and AI, challenges in interaction, and perceived opportunities for AI-supported reporting systems.
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