Artificial Intelligence Medical Compendium

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

Showing 16,901 to 16,910 of 213,633 articles

Metabolomic profiling of exhaled breath condensate identifies a novel biomarker panel for detecting thyroid and breast cancer.

Discover oncology
BACKGROUND: The non-invasive detection of cancer via exhaled breath condensate (EBC) represents a promising frontier in oncology. This study explores the metabolic profiles of EBC to identify biomarkers for the early detection of thyroid cancer (TC) ... read more 

Discriminating Breast Cancer Patients by Spectral Analysis of Arterial Pulse Waveforms.

Cardiovascular engineering and technology
BACKGROUND/AIM: Breast cancer (BC) remains a major health threat, highlighting the need for accessible screening. Characteristics of the cardiovascular system can be altered in BC patients. This study explored a noninvasive method combining arterial ... read more 

Prediction of HIV-1 sensitivity to broadly neutralizing antibodies using statistical distribution sampling (SDS) technology.

BMC bioinformatics
Accurately predicting HIV-1 sensitivity to broadly neutralizing antibodies (bNAbs) is a critical step in advancing the development of effective therapeutic and preventive strategies against HIV-1. Due to the virus's extraordinary genetic diversity an... read more 

Selecting synthetic data for successful simulation-based transfer learning in dynamical biological systems.

BMC bioinformatics
BACKGROUND: Accurate prediction of the temporal dynamics of biological systems is crucial for informing timely and effective interventions, e.g., in ecological or epidemiological contexts, or for treatment adjustments in therapy. While machine learni... read more 

From histology to spatial transcriptomics: establishing a lightweight single-patch baseline.

BMC bioinformatics
Predicting spatial gene expression from hematoxylin and eosin (H&E)-stained histological images is a central challenge in the field of computational pathology. Although many models leverage the spatial context from entire whole-slide images to boost ... read more 

Assessing AI-generated smoking cessation advice for patient education in primary care.

BMC primary care
BACKGROUND: Artificial intelligence (AI) has emerged as a promising tool to support smoking cessation in primary care, particularly for populations underserved by traditional interventions. However, the quality of AI-generated smoking cessation advic... read more 

Effectiveness and students' perception of tutor-guided AI navigation in undergraduate medical education in Sri Lanka: a quasi-experimental study.

BMC medical education
BACKGROUND: The integration of Artificial Intelligence (AI), particularly Large Language Models (LLMs) such as ChatGPT, into undergraduate medical education offers new opportunities for personalized learning. However, concerns remain regarding conten... read more 

Clinical sentiment analysis of ICU notes: a dataset and a comparison of lexicon and clinical language model methods.

BMC medical informatics and decision making
BACKGROUND: General-domain sentiment models have been found ineffective in distinguishing positivity and negativity in Intensive Care Unit (ICU) clinical notes and domain-specific sentiment models are recommended. Although there are multiple common a... read more 

Classification of different light colors applied during the incubation period based on small intestine morphology with XGBoost algorithm.

BMC veterinary research
BACKGROUND: Light is a significant environmental stimulus affecting embryonic development during incubation, and it is known that different wavelengths can have distinctive effects on incubation performance and post-hatching physiological characteris... read more 

HSD11B1 suppresses ferroptosis in endometrial stromal cells through the JUND/IL-10 axis to promote endometriosis progression.

Reproductive biology and endocrinology : RB&E
BACKGROUND: Endometriosis (EMs) is a common gynecological disorder characterized by ectopic endometrial tissue growth, leading to chronic inflammation and pelvic pain. Despite its high prevalence, the molecular mechanisms underlying EMs remain poorly... read more