Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers
Global soil pollution by toxic metals threatens agriculture and human health
Toxic metal pollution is ubiquitous in soils, yet its worldwide distribution is unknown. We analyzed a global database of soil pollution by arsenic, cadmium, cobalt, chromium, copper, nickel, and lead at 796,084 sampling points from 1493 regional ...
Generative AI at Work
Abstract We study the staggered introduction of a generative AI–based conversational assistant using data from 5,172 customer-support agents. Access to AI assistance increases worker productivity, as measured by issues resolved per ...
Machine learning in point-of-care testing: innovations, challenges, and opportunities
Correction to: 2025 ACC/AHA/ACEP/NAEMSP/SCAI Guideline for the Management of Patients With Acute Coronary Syndromes: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines
2025 ACC/AHA/ACEP/NAEMSP/SCAI Guideline for the Management of Patients With Acute Coronary Syndromes: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines
Aim: The “2025 ACC/AHA/ACEP/NAEMSP/SCAI Guideline for the Management of Patients With Acute Coronary Syndromes” incorporates new evidence since the “2013 ACCF/AHA Guideline for the Management of ST-Elevation Myocardial Infarcti...
The GLOBOCAN 2022 cancer estimates: Data sources, methods, and a snapshot of the cancer burden worldwide
AbstractThe data sources and methods used to develop global cancer incidence and mortality statistics—the GLOBOCAN estimates—for the year 2022 are documented in this article, alongside a brief overview of the global cancer burden. The estimates, m...
iMLGAM: Integrated Machine Learning and Genetic Algorithm‐driven Multiomics analysis for pan‐cancer immunotherapy response prediction
AbstractTo address the substantial variability in immune checkpoint blockade (ICB) therapy effectiveness, we developed an innovative R package called integrated Machine Learning and Genetic Algorithm‐driven Multiomics analysis (iMLGAM), which esta...
AI‐driven adaptive learning for sustainable educational transformation
AbstractThis paper scrutinizes how adaptive learning technologies and artificial intelligence (AI) are transforming today's education by making it personalized, accessible, and efficient as well as leading people to accepting, addressing, and miti...
Bioaccumulation of microplastics in decedent human brains
A review of sentiment analysis: tasks, applications, and deep learning techniques
Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation
Enabling Intelligent Connectivity: A Survey of Secure ISAC in 6G Networks
A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
The emergence of large language models (LLMs) has marked a significant breakthrough in natural language processing (NLP), fueling a paradigm shift in information acquisition. Nevertheless, LLMs are prone to hallucination, generating plausible yet ...
Digital learning in the 21st century: trends, challenges, and innovations in technology integration
The integration of digital technologies into education represents a significant evolution in the pedagogical landscape, with the potential to enhance accessibility, engagement, and personalization in learning. This review synthesizes current trend...
The Evolving Landscape of Advanced Oxidation Processes in Wastewater Treatment: Challenges and Recent Innovations
The increasing presence of persistent pollutants in industrial wastewater underscores the shortcomings of conventional treatment methods, prompting the adoption of advanced oxidation processes (AOPs) for sustainable water remediation. This review ...
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
A high performance hybrid LSTM CNN secure architecture for IoT environments using deep learning
Abstract The growing use of IoT has brought enormous safety issues that constantly demand stronger hide from increasing risks of intrusions. This paper proposes an Advanced LSTM-CNN Secure Framework to optimize real-time intrusion detect...
Snowball Sampling: A Review and Guidelines for Survey Research
Snowball sampling is widely recognized as an effective technique for accessing hardto-reach populations and enhancing participation through social connections. However, its application in quantitative survey research within business and management...
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