Artificial Intelligence Medical Compendium

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

Showing 50,001 to 50,010 of 224,814 articles

Evaluation of AI language models in answering pregnancy-related questions assessed by obstetrics specialists.

Scientific reports
This study aimed to compare the performance of three large language models-ChatGPT-3.5, Gemini, and ChatGPT-4.0-in generating responses to ten frequently asked pregnancy-related questions, as evaluated by obstetrics and gynecology specialists. Sevent... read more 

Use of Machine Learning and 71-Plex Immune Mediator Analysis to Identify Nasal Mucus Biomarkers Associated With Olfactory Loss in Patients with CRSwNP.

American journal of rhinology & allergy
BackgroundThe mechanisms driving chronic rhinosinusitis with nasal polyps (CRSwNP)-related olfactory loss remain largely unknown. Here we sought to identify novel modulators of olfactory function via the examination of nasal mucus biomarkers using an... read more 

Genetic structure analysis of a Northwest Chinese population using a self-developed DIP system and machine learning for forensic ancestry inference.

BMC genomics
This study investigates forensic ancestry inference in admixed populations using a self-developed 60-DIP panel, analyzing Kyrgyz samples from Northwest China (CNK) and 26 reference populations from the 1000 Genomes Project. Genetic analyses (PCA, ADM... read more 

Development and validation of predictive models for prognostic assessment in patients with acute non-ST-segment elevation myocardial infarction: a multicentre real-world study from China.

BMC medical informatics and decision making
BACKGROUND: Few models specifically predict the prognoses of non-ST-segment elevation myocardial infarction (NSTEMI) patients. Additionally, these models have inadequate predictive performance for combined ischemic events other than all-cause death. ... read more 

Exploratory identification of COL1A1 as a potential gene linking endocrine-disrupting chemicals and lung adenocarcinoma: a bioinformatics and machine learning analysis.

BMC pharmacology & toxicology
BACKGROUND: Endocrine-disrupting chemicals (EDCs) are common environmental pollutants that affect human health. These chemicals have been linked to the development and progression of many types of cancer. However, the mechanism by which EDCs affect t... read more