Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
A nationwide cross-sectional survey of 610 oncology professionals in China (188 physicians, 422 nurses) examined attitudes toward medical AI using the UTAUT model. Only 17.7% had both heard of and used medical AI while 67.7% had heard but never used it, indicating an awareness-usage gap.
This comprehensive review traces ultrasound from operator-dependent manual imaging to robotic ultrasound systems developed over the past two decades, including teleoperated telesonography over 5G and increasingly autonomous platforms using force control and path planning.
Researchers retrospectively analyzed 2453 children diagnosed with GDD between January 2014 and December 2023 at a provincial tertiary children's rehabilitation centre, followed to at least 60 months. Using 28 predictors across perinatal, developmental, neuroimaging, electrophysiological, genetic and comorbidity domains, they trained L2- and L1-regularized logistic regression, random forest, XGBoost and LightGBM, with Platt scaling for the L2 model, and evaluated on a held-out 30% test set.
Researchers conducted a population-based retrospective analysis of 5392 patients with cervical squamous cell carcinoma in the SEER database from 2004 to 2015, using multivariable logistic regression and machine learning to evaluate sociodemographic and clinical predictors of overall survival. They found marital status, median household income, tumor grade, disease stage and tumor size were collectively related to prognosis, and built a model including age and race that achieved an AUC of 0.70.
A One-Health study analyzed 30,554 E. coli whole-genome sequences from human, animal and environmental sources across 126 countries from 2000 to 2025, using AMRFinderPlus and MLST to map resistance genes and clones, and applied gradient-boosted machine learning to predict MICs from gene profiles and chromosomal features.
Published December 19, 2024, this peer-reviewed study analyzed generative AI adoption policies and guidelines from 40 universities across six global regions through the lens of Diffusion of Innovations Theory. It examined how institutions frame compatibility, trialability, observability, communication channels, and roles and responsibilities.
In early 2024, researchers surveyed 23,218 higher education students in 109 countries and territories about ChatGPT. Students reported using it mainly for brainstorming, summarizing texts, and finding research articles, finding it helpful for simplifying complex information but less reliable for providing information and supporting classroom learning.
A peer-reviewed review published May 14 2025 examined the integration of smart sensors and IoT in precision agriculture, detailing how soil and plant stress sensors provide real-time data that is analyzed via AI and ML on IoT platforms for remote monitoring and automated control.
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