Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
In a prospective study registered as ChiCTR2100042992, investigators collected plasma for metagenomic next-generation sequencing from 230 newly diagnosed hematological patients before and after chemotherapy and used machine learning to map a complex microecological landscape linked to neutropenia and subsequent infection.
A cross-sectional study tested four AI chatbots on 97 anonymized CBCT cases of jaw lesions, comparing performance on reconstructed 2D panoramic views and, for Manus, raw 3D DICOM data. Reports were scored for accuracy, relevance and feasibility, revealing statistically significant differences between systems.
A 2026 peer-reviewed study validated the Persian Conners' Adult ADHD Rating Scale Short Version in 298 male taxi drivers in Iran, mean age 36.8, to establish occupational screening thresholds. Using a 198/100 train-test split, the authors compared ROC, item response theory, logistic regression and Random Forest approaches for cutoff selection.
Researchers developed and internally validated an anatomy-driven AI system to automate postoperative Pink Esthetic Score evaluation from intraoral photographs, using Mask R-CNN for tooth crowns and YOLOv11 for gingiva to derive measurements rather than end-to-end prediction. Tested against independent expert scoring of 82 photographs, the system reached 91.5% accuracy for mesial papilla and 82.9% to 86.6% for other attributes, with 57.3% exact total-score agreement.
Published February 20, 2026, this peer-reviewed survey in Cognitive Computation reviews XAI-driven data mining for self-defending IoT systems. It describes how IoT expansion in smart cities, healthcare, and industrial automation creates need for real-time, scalable security, and how XAI methods aim to detect anomalies and support automated decisions with transparent reasoning.
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.
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