Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
This peer-reviewed paper models AI's macroeconomic impact as task-level automation and complementarity, using Hulten's theorem to translate the fraction of tasks impacted and average cost savings into GDP and TFP effects. Using existing exposure estimates, it calculates no more than a 0.66% TFP increase over 10 years, then revises down to less than 0.53% after accounting for the shift from easy-to-learn to hard-to-learn tasks.
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 10 2026, a dual-center Canadian study reported before-and-after results for PhenoMATRIX, an AI-based software that provides continuous culture sorting and interpretation support for urine cultures on laboratory automation. Both a low-volume tertiary hospital and a high-volume community lab saw earlier availability of interpretable results, with measured TTRR changes of approximately 1.3 hours with PM+ automated release and approximately 5.3 hours with earlier manual review.
Researchers nested a two-part methodological study within two PROSPERO-registered reviews to test customized GPT models on complex rheumatology evidence synthesis. Fifteen SLE metabolomics studies were used to compare human and GPT data extraction, and nineteen rheumatology prognostic studies were reappraised in 2025 with GPT-Reviewer against adjudicated human QUIPS ratings using weighted kappa.
This peer-reviewed review in GeroScience appraises CT-based prediction of hematoma expansion after spontaneous intracerebral hemorrhage, a major determinant of early deterioration. It compares contrast-enhanced signs like spot, leakage and iodine signs with non-contrast signs including blend, black hole, island, satellite, hypodensity and swirl signs, plus shape and heterogeneity, and evaluates composite scores and AI approaches including radiomics, machine learning and deep learning.
On 2026-08-15 a discursive paper in Journal of Advanced Nursing explored post-humanism and AI in nursing and healthcare through critical reflection on contemporary and established literature. It concluded AI presents both potential benefit and severe threat to fundamental nursing care defined by patient/nurse relationships and patient-centredness carried out with critical reasoning.
A scoping review published August 15, 2026 examined how nursing academics perceive and use AI in nursing education, synthesizing 15 studies from eight countries with 2004 academics. It found most believe AI will revolutionise education but actual use is selective and conservative, concentrated at the augmentation level for productivity and research writing rather than assessment or transformative pedagogy.
Published August 15, 2026, this narrative review in Clinical Microbiology and Infection introduces the machine learning lifecycle from a clinical microbiology perspective, covering data preparation, model development, evaluation, and deployment, drawing on applied research and AI development guidelines for healthcare.
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