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The same e-CTA tool showed progressively lower sensitivity for more distal occlusions, dropping to 73% for distal M1 with only moderate agreement with experts, and excluded non-target occlusions from primary analysis, requiring adjunctive rather than standalone use.

Music that utilizes AI can be released without a standardized label informing listeners about AI use.

Increasing deployment of AI in the UK economy is expected to eliminate some existing jobs, with concern focused on graduate entry roles in law and finance.

At 1,000 real-time targets per day flagged by the AI-assisted Tzayad system, soldiers could not thoroughly assess collateral damage and civilian risk, coinciding with 71,269 Palestinians killed in Gaza.

Routine use of AI-generated sets, lighting and imagery in typical film productions risks further visual degradation and enables plagiarism and crew displacement framed as mass layoffs.

xAI alleges Colorado's AI law violates First Amendment protections by prohibiting disfavored AI speech and compelling developers to promote the state's views on equity and race.

Translational progress of AI applied to bioink formulation and bioprinting for bone regeneration remains constrained by small datasets, limited cross-platform validation, and weak links between computational predictions and biological outcomes.

Automation and AI have affected HRM professional roles and taken over some HRM functions, imposing new competency requirements that existing research has not fully mapped.

Expanding AI and digital infrastructure for automation increases demand for computing energy, raising concerns about data center efficiency and carbon footprint under the Green AI vs Red AI divide.

Deep learning models for medical diagnosis struggle to maintain performance when faced with adversarial or noisy inputs, and are vulnerable to adversarial attacks that deceive models and privacy attacks that extract sensitive patient information.

Crowdsourced participants lacked the style-specific vocabulary necessary for effective prompting to achieve high-quality AI art.

Realizing multi-omics personalized medicine is hindered by complexity of integrating different omics layers, high cost of data generation, and unresolved issues of data privacy, standardization, and validation across diverse populations.

AI adoption in organizations can create cultural misalignment and trigger employee resistance alongside ethical concerns.

Most AI hypertension studies remain retrospective or internally validated, with few demonstrating external validation or gains in hard outcomes like cardiovascular events or mortality, plus barriers of bias, interpretability, and infrastructure.

Most studies were retrospective and may not reflect real-world performance and access constraints, and CT segmentation remains constrained by subtle early ischemic changes and poor generalization, limiting equitable clinical deployment.