Artificial Intelligence Medical Compendium

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

Showing 16,821 to 16,830 of 213,633 articles

Use of on-farm culturing for clinical mastitis treatment decisions and antimicrobial use in Argentina.

Revista Argentina de microbiologia
Clinical mastitis (CM) is one of the main causes of antimicrobial use (AMU) in dairy cattle, and strategies that support selective therapy are essential to promote responsible antimicrobial stewardship. This study evaluated the use of a commercial on... read more 

Accuracy of Large Language Models in Answering Dental Examination Questions: A Systematic Review and Meta-Analysis.

International dental journal
INTRODUCTION: Large language models (LLMs), including OpenAI's GPT family accessed via interfaces such as ChatGPT and Microsoft Copilot, as well as non-GPT systems such as Google Gemini, are increasingly applied in healthcare and dental education. Ho... read more 

Can large language models be viewed as a cognitive model of human language? Not yet, regardless of reasoning capability and size.

Acta psychologica
Can large language models (LLMs) be viewed as a cognitive model of human language? Do they possess human-like language competence? To address these questions, this study takes a multifaceted approach, comparing the performance of 10 recent LLMs (n = ... read more 

Progress in the Research and Application of Light-Absorbing Nanostructured Materials in Solar-Driven Water Evaporation.

Nanotechnology
Solar-powered interfacial evaporation technology, owing to its high efficiency and low-carbon advantages, has become a research hotspot. This paper comprehensively sums up the progress in the research of carbon-based, plasmonic, and inorganic semicon... read more 

Exhaled Breath Performance in Diagnosing Ischemic Heart Disease Utilizing a Machine Learning Model.

Journal of breath research
Ischemic heart disease (IHD) remains the leading global cause of mortality and morbidity. Current diagnostic approaches face significant limitations in accessibility, cost, invasiveness, and accuracy, creating an urgent need for innovative non-invasi... read more 

Calcite nanoparticles as advanced, pH-responsive platforms for cancer therapy: a comprehensive and critical review.

Nanotechnology
Nanomedicine offers powerful opportunities to overcome the pharmacokinetic and microenvironmental limitations of conventional chemotherapy, particularly in aggressive breast cancer subtypes. Among emerging nanocarriers, calcium carbonate (CaCO₃) nano... read more 

Dietary Supplementation with N-Acetylcysteine Ameliorates Sleep Deprivation-Induced Ruminal Apoptosis in Tibetan Sheep.

Journal of agricultural and food chemistry
Sleep deprivation (SD) is associated with gastrointestinal dysfunction. However, the mechanisms underlying SD-induced ruminal epithelial apoptosis remain elusive. This study revealed that N-acetylcysteine (NAC), a naturally occurring antioxidant in A... read more 

Barrier check study: why predictive machine learning struggles to reach the operating room.

BMJ health & care informatics
OBJECTIVES: Machine learning (ML) has the potential to enhance surgical decision-making through real-time risk prediction and personalised care yet clinical implementation remains limited. This study aimed to identify and categorise the key barriers ... read more 

Assessing community resilience during the first COVID-19 wave peak in a megacity in eastern China: a cross-sectional study using social media data.

BMJ open
OBJECTIVES: In the face of pandemics resulting from infectious disease, improving community resilience has become increasingly vital. China's sudden exit from Zero-COVID policy in December 2022 triggered a surge in COVID-19 cases, compounded by medic... read more 

What are the views of cancer care administrators and clinicians in England on the use of a machine learning clinical decision support system (ML-CDSS) to predict patients' risk of hepatic and renal deterioration during chemotherapy? A qualitative study.

BMJ open
OBJECTIVE: To explore administrators' and clinicians' views on the factors that influence their use and adoption of a machine learning clinical decision support system (ML-CDSS) to predict patients' risk of hepatic and renal deterioration during chem... read more