Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
Purpose Ambulatory clinics manage high-cost medications with little visibility into quantity or movement, leaving unrealized opportunities for inventory optimization. Automated dispensing cabinets, common in inpatient settings, address this issue but require significant capital investment, forcing clinics into complex workflows to balance demand for high-cost medications with minimizing waste.
The concentration of iron ions is a crucial indicator for assessing water quality. In this study, nitrogen-doped carbon dots (NCDs) were synthesized using a microwave-assisted method with citric acid and urea as precursors, thereby establishing a fluorescence sensing platform for the detection of alkaline pH and Fe 3+ .
Machine learning interatomic potentials have become an effective method for exploring complex potential energy surfaces; however, their application to atomic clusters is frequently hindered by the high cost of sampling diverse isomer spaces and the difficulty in ensuring model generalizability across complex energy landscapes. While uncertainty quantification (UQ) offers a pathway to mitigate data scarcity, its efficacy in capturing continuous potential energy surface features and guiding active learning within the complex landscape of clusters remains systematically unverified.
Using Medicare Current Beneficiary Survey data linked to claims from 2019 to 2022, researchers studied 3,140 cancer patients aged 65 and older representing 22.2 million beneficiaries to estimate the causal effect of stand-alone Prescription Drug Plans versus integrated Medicare Advantage Prescription Drug plans. They compared conventional regression, two-stage residual inclusion instrumental variables, and an AI-enabled Doubly Robust Machine Learning IV approach using county-level PDP penetration and white-collar worker percentage as instruments.
Researchers retrospectively analyzed 306 patients who had microscopic root canal treatment with rubber dam isolation between May and November 2025, defining willingness to reuse at 1-week follow-up as the outcome, with 246 willing and 60 unwilling. They trained six models on 26 variables and found the LightGBM model retained 12 predictors and achieved the highest exploratory AUCs of 0.939 and 0.983.
A systematic review and meta-analysis of 13 studies covering 247 sites and 158,435 patient samples evaluated federated learning models, mostly using FedAvg, against local and centralized models on diagnostic performance metrics.
By October 2025, a peer-reviewed study examined AI use in electoral management in Indonesia, Thailand, Philippines and Myanmar between 2019 and 2024, finding that biometric voter identification, cyber-based registration, and real-time result monitoring streamlined administration and improved list accuracy, particularly amplifying coordination in Thailand.
The paper examines how AI and extended reality enable creation of avatars and human digital twins from personal and biometric data that persist after death as Human Digital Remains. Using cross-disciplinary analysis and doctrinal review, it finds that current EU instruments do not extend protections to the deceased and identifies urgent legal and ethical gaps.
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