Artificial Intelligence Medical Compendium

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

Showing 57,091 to 57,100 of 227,153 articles

Organ preservation in rectal cancer: an endoscopist's perspective on current evidence and future directions.

Japanese journal of clinical oncology
Rectal cancer management has increasingly shifted toward organ-preserving strategies that aim to maintain oncologic control while preserving bowel, urinary, and sexual functions. Although radical surgery remains highly effective, its substantial long... read more 

Functionally Graded Surfaces and Materials: From Fabrication to Biomedical Applications.

Chemical reviews
Functionally graded surfaces and materials, featuring spatial variations in terms of composition, structure, and other properties across distance, have emerged as powerful platforms for mimicking native tissue architectures and enabling a wide range ... read more 

Motion as a Language: Transformer-Based Classification of Antimicrobial Peptide Conformational Dynamics.

Journal of chemical theory and computation
Antimicrobial peptides (AMPs) represent a promising alternative to traditional antibiotics against which many bacteria are rapidly gaining resistance. Today, databases containing tens of thousands of AMPs, along with their properties and biological a... read more 

Fabricating a SMVF@GO@Ag Composite Aerogel SERS Sensor for the Enrichment and Label-Free Detection of Urinary VOCs.

Analytical chemistry
The detection of volatile organic compounds (VOCs) in urine is a noninvasive diagnostic technique with tremendous promise, holding great potential for early screening, auxiliary diagnosis, and progression monitoring of urinary system diseases. We dev... read more 

Evaluation of six large language models for study identification in an obstetric systematic review.

Minerva obstetrics and gynecology
BACKGROUND: Identifying eligible studies is a foundational component of systematic reviews, requiring careful interpretation of complex inclusion and exclusion criteria. Given the rapid integration of large language models (LLMs) into evidence synthe... read more 

Integrative transcriptomics, machine learning, and molecular docking reveal that nicotine exacerbates ischemic stroke: TLR4-dependent activation of NLRP3/caspase-1/GSDMD-mediated microglial pyroptosis.

International journal of surgery (London, England)
OBJECTIVE: This study aimed to clarify the molecular mechanisms through which nicotine (Nic) aggravates ischemic stroke (IS), with an emphasis on inflammation and pyroptosis in Microglia. METHODS: An integrative strategy was employed, combining netwo... read more 

An explainable AI workflow integrating automated volumetric body composition analysis for predicting pathological grading of gastroenteropancreatic neuroendocrine neoplasms: a multicenter cohort study.

International journal of surgery (London, England)
BACKGROUND: Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are heterogeneous tumors with rising incidence, necessitating precise preoperative grading for treatment planning. Existing imaging techniques and endoscopic biopsies often fall s... read more 

Network toxicology and experimental validation reveal TDCPP as an emerging environmental risk factor for chronic kidney disease.

International journal of surgery (London, England)
BACKGROUND: Tris(1,3-dichloro-2-propyl) phosphate (TDCPP) is a widely used organophosphorus flame retardant that has raised growing concern because it is persistent, can bioaccumulate, and is toxic. However, its possible role in chronic kidney diseas... read more