Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 49,071 to 49,080 of 224,513 articles

Medical large language models and systems in the clinical application of spinal diseases: Current status, challenges, and future prospects.

Journal of orthopaedic translation
Large Language Models (LLMs), represented by the Generative Pretrained Transformer (GPT), are profoundly transforming the healthcare sector. Spine medicine, a discipline heavily reliant on complex imaging data, detailed clinical records, and evidence... read more 

Characterization of flavor profiles in chive leaves and stems at different moisture transfer points during combined drying: An integrated approach with e-nose, GC-IMS, GC-MS, and machine learning.

Food chemistry
This study investigated the effect of moisture transfer points on volatile organic compounds (VOCs) in chive leaves and stems during the vacuum freeze drying combined with hot air drying process. The VOCs of chive leaves and stems were comprehensivel... read more 

Ensuring reliable feature importance in food chemistry AI.

Food chemistry
Food chemistry's rapid AI adoption (2060 AI articles; 415 in 2025) spans machine learning, logistic regression, random forests, and XGBoost. Yet a skills gap in supervised learning fuels misinterpretation: Models optimize prediction, not true associa... read more 

Development of a chemometric-assisted SERS method for simultaneous analysis of HDL and LDL cholesterol in blood serum with silver nanoparticles as substrate.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Cardiovascular diseases (CVD) are becoming a serious threat to human health. These are considered the leading causes of mortality. Abnormal lipid concentrations in the body, such as High-density lipoproteins (HDL) and Low-density lipoproteins (LDL), ... read more 

The role of artificial intelligence in pre-operative prediction of completeness of cytoreduction for peritoneal surface malignancies: a scoping review.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
BACKGROUND: Complete cytoreduction is the most important prognostic factor for patients with peritoneal surface malignancies (PSM) and its prediction remains a clinical challenge. Artificial intelligence (AI) offers a novel opportunity to integrate c... read more 

Prompt-to-policy: Leveraging large language models to guide deep reinforcement learning in public health emergencies.

Computer methods and programs in biomedicine
Rapid and effective decision-making is critical in public health emergencies, where resource allocation must balance multiple objectives under uncertain conditions. Traditional optimization methods often struggle with computational complexity and rea... read more 

Multiscale decomposition and fuzzy-rule attention: A transferable cross-basin framework for long-term water quality forecasting.

Water research
Accurate long-term forecasting of river water quality is pivotal for ecosystem management; however, process-based models are often limited due to fragmented historical records lacking long-term continuity and complex, non-stationary interactions amon... read more 

Insight into the oxidation mechanism of low-salt Sichuan-style sausages treated with inclusion complexes of tea-polyphenol/β-cyclodextrin/NaCl and electron beam irradiation using machine learning algorithms.

Food chemistry
Low-salt sausages are gaining popularity due to health risks from high salt intake. In this study, the effects of electron beam irradiation (EBI) at various doses (0, 3, 6 kGy) combined with inclusion complexes (ICs) of tea-polyphenol/β-cyclodextrin/... read more 

In silico discovery and biological evaluation of a novel selective HDAC8 inhibitor featuring 1H-pyrazolo[3,4-b]pyridine scaffold.

Bioorganic chemistry
Histone deacetylase 8 (HDAC8), a pivotal epigenetic regulator orchestrating chromatin remodeling and transcriptional control, has emerged as a compelling anticancer target owing to its frequent dysregulation in malignancies. The development of isofor... read more 

Enhancing progressive ensemble learning via normalized extra-Gradient initialization.

Neural networks : the official journal of the International Neural Network Society
Deep learning models continue to demand significant computational resources as their scale grows. Progressive training, which incrementally enlarges models during training, offers an effective remedy. Among its most popular applications is progressiv... read more