PRISMA
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Related Articles from SNS
Prisma-World: Camera-Controllable Multi-Agent Video World Model
arXiv:2606.09507v1 Announce Type: new Abstract: Video world models have made rapid progress in generating controllable visual experiences, but most of them still simulate the world from a single observer. Extending such models to multiple agents raises a central challenge: if each agent's future state is generated independently, overlapping views may instantiate different versions of the same scene, leading to inconsistent objects, layouts, and appearances across agents. Conventional camera...
Decoding the Surgical Scene: A Scoping Review of Scene Graphs in Surgery
arXiv:2509.20941v2 Announce Type: replace Abstract: As surgical AI transitions from pixel-level detection to complex reasoning, Scene Graphs (SGs) offer the structured, relational representations necessary to decode dynamic surgical environments. This PRISMA-ScR-guided scoping review systematically maps the evolving landscape of SG research in surgery, analyzing 52 primary studies to chart applications and methodological shifts. Our analysis reveals rapid growth, yet uncovers a critical...
Corridor Design and Separation Definition in Advanced Air Mobility: Systematic Literature Review
Announce Type: new Abstract: Advanced Air Mobility (AAM) uses electric vertical take-off and landing (eVTOL) vehicles to address urban congestion and emissions. However, corridor design, operation management, and separation standards remain underexamined for safe high-density operations. This paper applies the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to systematically review relevant literature from IEEE Xplore and Web of Science, focusing on...
Large AI Models in Dental Healthcare: From General-Purpose Systems to Domain-Specific Foundation Models
Announce Type: replace Abstract: Background: Oral diseases affect nearly 3.5 billion people worldwide, yet the comparative clinical potential of large-scale AI models in dentistry remains poorly understood. Three distinct model categories have emerged: language-generative models, discriminative vision foundation models, and dental-specific foundation models, with no unified review examining their relationships and collective limitations. Methods: Following PRISMA-ScR guidelines, we...
Feature Encoding in Quantum Machine Learning: A Survey and Practical Guidelines
Announce Type: cross Abstract: The encoding of classical data into quantum states constitutes the primary performance bottleneck in Quantum Machine Learning (qml) on Noisy Intermediate-Scale Quantum (nisq) devices. No existing framework jointly characterises resource cost, expressivity, and noise robustness, nor provides actionable selection guidelines for practitioners. This survey addresses that gap through a systematic review of 66 primary works (2017-2026) assembled via a PRISMA-adapted...
Closing the Loop in Affect-Driven Game Adaptation: A Systematic Review
arXiv:2505.01351v2 Announce Type: replace Abstract: Recognizing player state is only one component of affective game adaptation; inferred experience must also be translated into adaptive interventions that modify gameplay or game content. Although player experience modeling and content adaptation are established research areas, fewer studies examine how sensing, modeling, and adaptation are integrated into complete, empirically evaluated gameplay systems. This PRISMA-guided systematic review...
We're upping our Palo Alto price target after strong earnings vanquish AI disruption fears
Palo Alto Networks reported a strong beat-and-raise quarter Tuesday night, putting to rest any lingering doubt that it will be disrupted by artificial intelligence. The stock was volatile in after-hours trading, but considering its blistering rally into earnings, it's not surprising to see this kind of reaction. Revenue for the company's fiscal 2026 third quarter increased 31% year over year to $3 billion, exceeding the Wall Street consensus estimate of $2.94 billion, according to LSEG.
AI agents can now manipulate your organization. Are you ready?
Your customer service agent just wrote to a database it should have been reading from, and nobody told it to do so. Somewhere upstream, a poisoned support ticket had convinced the agent that the user was an admin, and being helpful, it obliged. This is the working day for anyone running autonomous AI in production.
Task-Aligned Self-Supervised Learning for Medical Image Analysis: A Systematic Review and Practical Design Guidelines
Announce Type: replace Abstract: Self-supervised learning (SSL) has emerged as a promising paradigm for addressing the annotation bottleneck in medical imaging by learning representations from unlabeled data. However, its effectiveness depends heavily on the design of the pretext task and its alignment with the downstream clinical-objectives. We present a systematic, task-oriented review of SSL in medical imaging, examining how different pretext-task formulations influence performance across...
Multidimensional Resilience for Electrical Power Systems: Systematic Review, Integrated Index, and Validation under Real-World Cyber-Physical Attack Scenarios
arXiv:2606.08062v1 Announce Type: new Abstract: The accelerating decarbonization of energy systems has transformed electrical power systems into complex infrastructures exposed to threats whose interactions generate systemic vulnerabilities that conventional resilience approaches fail to capture. Although resilience assessment has expanded across multiple dimensions, existing studies largely examine them in isolation or adjacent pairs, leaving cross-dimensional couplings insufficiently...