Artificial Intelligence Medical Compendium

The increasing interest in the precise detection of mixed gases in the industrial field has led to an unprecedented level of demand for gas sensing equipment. However, a single sensor with the classic single-output signal and cross-sensitivity can no... read more 

Good judgment remains fundamental to clinical decision-making, and yet it is increasingly augmented by data and artificial intelligence (AI). Although AI holds promise for real-time clinical-decision support, its impact on patient care has been modes... read more 

BACKGROUND: Large language models are increasingly being used in scientific writing, but their use in orthopaedic literature remains unclear. METHODS: We analyzed 196 articles published in March 2025 in 10 leading orthopaedic journals. GPTZero quanti... read more 

In the past decade, artificial intelligence and deep learning have played increasingly prominent roles in materials design and discovery. Among these, generative AI models, known for their ability to create unique and complex structures, have emerged... read more 

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This dataset contains raw and analyzed numerical simulation data, tables, and figures focused on the synergistic effects of nanosecond repetitively pulsed discharge (NRPD) plasma and water addition in hydrogen combustion. The data were generated usin... read more 

The development of machine learning models for medical imaging is often constrained by the scarcity of large, paired datasets, particularly in breast cancer diagnostics where mammography and MRI modalities offer complementary diagnostic information. ... read more 

OBJECTIVE: The rapid development of artificial intelligence (AI) presents an opportunity to streamline the peer-review process and provide key information to guide academic journals, editorial staff, and reviewers, as well as authors. This study aime... read more 

BACKGROUND: Clinical documentation is essential for safe, high-quality care but has become increasingly complex, contributing to clinician burnout. Large language models offer potential to ease documentation by generating summaries, structuring data,... read more 

Recent advancements in multimodal machine learning have empowered the development of accurate and robust AI systems in the medical domain, especially within centralized database systems. Simultaneously, Federated Learning (FL) has progressed, providi... read more