Artificial Intelligence Medical Compendium

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

Showing 40,861 to 40,870 of 223,737 articles

Adiposome Lipidomic Shifts Following Bariatric Surgery in Association With Weight Loss and Cardiometabolic Benefit.

The Journal of clinical endocrinology and metabolism
CONTEXT: Adiposomes carry bioactive lipids that shape systemic metabolism and vascular function. OBJECTIVE: Building on our previous findings that obese adiposomes are ceramide/free fatty acid-enriched and linked to dysfunction, we tested whether bar... read more 

Development of a Machine Learning-based Model for Methimazole Dosage Adjustment in Youth With Hyperthyroidism.

The Journal of clinical endocrinology and metabolism
CONTEXT: Accurate methimazole (MMI) dose adjustment in pediatric hyperthyroidism is crucial, but individualized titration relies on clinician experience due to a lack of validated predictive tools. OBJECTIVE: This study aimed to develop and validate ... read more 

Noninvasive Detection of Occult yet Significant Liver Pathology in Alanine Aminotransferase-Normal Chronic Hepatitis B: A Multicenter Study.

The Journal of infectious diseases
BACKGROUND: Individuals with chronic hepatitis B (CHB) may harbor occult yet significant liver pathology despite normal alanine aminotransferase (ALT) levels, representing a major diagnostic challenge. We aimed to identify and validate noninvasive bi... read more 

'Bad manners'-refocusing on 'bedside manner' as a core professional behaviour for doctors.

Postgraduate medical journal
Healthcare systems globally face unprecedented pressures, with increasing patient volumes and resource constraints affecting care delivery. While systemic factors contribute to patient dissatisfaction, individual healthcare professional behaviours si... read more 

Enhancing the functionality of soft continuum robots for minimally invasive and endoluminal interventions: a review.

Progress in biomedical engineering (Bristol, England)
The introduction and development of soft continuum robots (SCRs) for minimally invasive surgery and endoluminal intervention offers a promising option for navigating delicate, convoluted human anatomy across various procedures. However, successful tr... read more 

High confidence Raman spectroscopy of tumor biomarker proteins through experimental and theoretical cross-validation.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Cancer represents a significant challenge to people's health and safety. Tumor biomarker detection plays a vital role in the precise diagnosis of cancer and finds widespread applications in cancer screening and pathological diagnosis. Existing method... read more 

Leveraging contextual confidence for smarter retrieval in large language models.

Neural networks : the official journal of the International Neural Network Society
Large Language Models (LLMs) often struggle with factual consistency in knowledge-intensive tasks due to limited internal knowledge. Retrieval-augmented generation (RAG) mitigates this by accessing external documents, yet static or indiscriminate ret... read more 

Rapid and non-destructive detection of hollow defects in pecans by near-infrared spectroscopy combined with multimodal data fusion and deep learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Hollow defects seriously affect the quality and economic benefits of pecans, necessitating the removal of defective pecans from normal batches. In this study, near-infrared spectroscopy (NIRS) combined with multimodal data fusion and deep learning wa... read more 

Neutron-gamma discrimination based on STFT-DFF model and FPGA implementation.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
In the field of neutron-gamma discrimination, traditional discrimination algorithms exhibit poor performance in the low-energy region, while machine learning-based discrimination algorithm face challenges such as difficulty in hardware deployment and... read more 

Exploring aroma descriptions of different cherry juice and the mechanism of aroma formation in Lapins using volatilomics and machine learning.

Food chemistry
Volatileomics and machine learning characterized cherry juice volatile organic compounds (VOCs) to compare flavor differences and identify processing-suitable varieties, with in-depth analysis of aroma formation in Lapins. Aldehydes and esters were p... read more