Artificial Intelligence Medical Compendium

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

Showing 37,451 to 37,460 of 223,469 articles

Integrating Digital Health Into Stroke Policies.

Stroke
Stroke remains a leading cause of death and disability worldwide. In response, many governments have developed stroke policies emphasizing prevention, early detection, timely treatment, and rehabilitation. However, the implementation of those strateg... read more 

Early Versus Delayed Anticoagulation in Acute Ischaemic Stroke with Atrial Fibrillation According to Infarct Volume and Location: a Prespecified Subgroup Analysis of the OPTIMAS Randomised Controlled Trial.

International journal of stroke : official journal of the International Stroke Society
BackgroundRandomised trials have demonstrated that early anticoagulation after acute atrial fibrillation-associated ischaemic stroke is safe and non-inferior to delayed initiation. Whether anticoagulation should be delayed in people with larger infar... read more 

A combined first-principles and machine learning study of phase stability and thermoelectric properties in ZrSiPt.

Physical chemistry chemical physics : PCCP
ZrSiPt is a versatile ternary compound that stabilizes in two distinct crystal structures: a cubic half-Heusler phase and an orthorhombic TiNiSi-type phase. This study presents an integrated first-principles and machine learning (ML) investigation of... read more 

Developing and validating ultrasound-based machine-learning models incorporating radiomics features to predict malignancy in adnexal masses.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
OBJECTIVE: The primary aim of this study was to develop and internally validate ultrasound-based radiomics models to discriminate between all types of benign and malignant adnexal masses. The secondary aim was to compare the performance of the radiom... read more 

Single-Injection Multi-Omics Analysis by Direct Infusion Mass Spectrometry.

Angewandte Chemie (International ed. in English)
Combined proteomics, metabolomics, and lipidomics analyses require long liquid chromatography-mass spectrometry (LC-MS) run times, limiting throughput and increasing costs for large-scale studies. Here, we present single-injection multi-omics analysi... read more 

Artificial Intelligence in Periodontology: A Systematic Review.

Journal of periodontal research
AIM: To provide a comprehensive review of artificial intelligence (AI) applications in periodontology, focusing (1) on deep learning for image-based diagnosis of periodontitis and (2) on non-image-based AI applications across periodontal care. METHOD... read more 

Rational Design of Broad-Spectrum Non-Nucleoside Reverse Transcriptase Inhibitors via Pharmacophore-Oriented Generative Artificial Intelligence.

Journal of medicinal chemistry
Guided by the pharmacophore-oriented molecular generation platform PhoreGen, we employed rilpivirine (RPV) as a lead compound to generate 300 structurally diverse analogs that preserve key pharmacophoric features. Subsequent drug-likeness evaluation,... read more 

Treatment-Specific Prediction Models in Multiple Myeloma: A Critical Review of Current Evidence and Future Directions.

European journal of haematology
BACKGROUND AND OBJECTIVES: Multiple myeloma (MM) is characterized by substantial clinical heterogeneity, leading to wide variability in treatment response and toxicity. Although numerous prognostic tools exist, relatively few models estimate outcomes... read more 

Digital holographic microscopy: use of artificial intelligence to enable rapid blood culture Gram stain digitization and interpretation.

Journal of clinical microbiology
Gram staining is one of the most commonly performed tests in the clinical microbiology laboratory. Results are used to both guide empiric antimicrobial therapy as well as downstream laboratory procedures, including culture workup. Despite its ubiquit... read more