Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
By August 13, 2026, a systematic review and meta-analysis of 18 studies found AI models predicted laparoscopic cholecystectomy difficulty with pooled AUCs of 0.848 in training and 0.818 in validation, with ensemble models reaching 0.889 and 0.861. The review searched four databases to March 2, 2026 and used PROBAST and GRADE to assess bias and certainty.
On 2026-08-13, a review in Personalized Medicine examined integration of causal artificial intelligence and data-driven decision intelligence within healthcare informatics to advance personalized medicine. Using a narrative review of literature from PubMed, Scopus, Web of Science, IEEE Xplore and ScienceDirect, the authors synthesized evidence on causal inference methods and clinical applications.
In a multicentre cross-sectional study of 318 ICU nurses in China, researchers developed a machine learning risk-profiling model for moral distress, which was present in 28.6% of participants. A gradient boosting machine achieved the best balanced performance and, after SHAP-guided reduction, retained full accuracy with six predictors: monthly night shifts, financial responsibility role, psychological resilience, sleep quality, nurse-to-patient ratio, and weekly working hours.
Researchers retrospectively analyzed 306 infants aged 1 to 90 days hospitalized between 2014 and 2022 in Khorasan Razavi, Iran, using CSF culture via lumbar puncture as the gold standard, to train nine machine learning classifiers on routine non-invasive paraclinical markers with nested cross-validation and SHAP interpretation.
A January 2026 peer-reviewed article in Journal of Banking Regulation examines AI-driven financial fraud, noting AI is integral to bank operations while also being used by fraudsters to inflict significant damage on institutions and clients.
Published January 2026 in AI & SOCIETY, this peer-reviewed paper examined AI artistic collaborations, art competition controversies, interviews with professionals, and gallery experiments to test how generative models handle creativity, authorship, labour and representation.
Published January 24, 2026, this systematic review examines AI advances since 2022, particularly generative AI, LLMs, and diffusion models, and their application across the creative production pipeline from creation to compression and quality assessment.
A peer-reviewed study in mHealth analyzed 159 Google Play reviews of Wysa, a commercial AI-driven mental health conversational agent, posted between January 2020 and March 2024. Using thematic analysis, the authors identified seven themes capturing both positive perceptions and frustrations with the chatbot.
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