Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
On March 4, 2026, a peer-reviewed study in Frontiers in Artificial Intelligence reported results from 280 university students on an ESG-informed framework for Sustainable AI-Metaverse Adoption. Using SEM-PLS, the authors found environmental and social factors were stronger predictors of adoption than governance factors, and that sustainable adoption was linked to higher digital pedagogical innovation and enhanced student learning outcomes.
This peer-reviewed review from October 2024 surveys how AI techniques such as machine learning and deep learning are applied across pharmaceutical development, including target identification and validation, excipient selection, synthetic route prediction, supply chain optimization, and continuous manufacturing monitoring.
On July 10 2026, a peer-reviewed cross-sectional study reported results from 308 online questionnaire responses about cervical HPV screening experiences. Most respondents were urban women aged 25-35, 76.30% reported a history of HPV infection, and 91.56% had undergone TCT. The study measured current distress points and attitudes toward AI-assisted diagnosis.
By July 2026, this scoping review had mapped the literature on AI in OSCEs, screening 421 records and including 22 studies across health professions education. It categorized uses in preparation, station construction, scoring, and delivery, and stratified findings by evidence maturity using FACETS, SAMR, and P4 frameworks.
Multimodal artificial intelligence, albeit showing great potential in computational pathology, remains limited to isolated patch-level interpretation and often fails to analyze gigapixel-scale whole-slide images (WSIs) essential for clinical utility. Here we present SlideChat, a multimodal generative artificial intelligence assistant for whole-slide computational pathology across cancer types.
Artificial intelligence (AI) has rapidly transformed cardiac CT, extending its clinical utility from coronary CT angiography (CCTA) to CT myocardial perfusion imaging (CT-MPI). This review outlines the current advances in and future perspectives on AI-aided cardiac CT across anatomical, functional, and prognostic dimensions.
This research proposes a secure, explainable, and context-aware governance framework for blockchain-based digital media contracts in multimodal artificial intelligence-enabled AIoT interactive systems. As digital licensing, NFT copyright management, royalty distribution, and cross-chain content circulation become increasingly embedded in smart media ecosystems, existing contract auditing approaches remain limited by unimodal analysis, weak explainability, black-box decision processes, and insufficient cross-platform generalization.
Background There is increasing recognition that trauma exposure and related psychiatric consequences predict cardiovascular disease risk. However, most research has specifically examined post-traumatic stress disorder-despite evidence that a range of psychiatric disorders may follow trauma.
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