Artificial Intelligence Medical Compendium

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

Showing 23,831 to 23,840 of 217,366 articles

Harnessing the Hybrid Intelligence of Crowd and Artificial Intelligence in Group Decision Making for Uncertain Disaster Response.

Risk analysis : an official publication of the Society for Risk Analysis
Crowdsourcing is now widely used in disaster management. However, restricted access to social media of vulnerable people in poor areas will pose a risk of selective bias. This study presents a framework to harness the hybrid intelligence of crowd and... read more 

Machine Learning Meets Pharmacokinetics: A Comparative Analysis of Predictive Models for Plasma Concentration-Time Profiles.

CPT: pharmacometrics & systems pharmacology
Predicting pharmacokinetic (PK) profiles from molecular structures represents a significant advancement in pharmaceutical research with substantial implications for expediting drug discovery processes. We evaluated five approaches to systematically c... read more 

T3SS effector and regulator discovery by predicting interacting partners of T3SS chaperones in Pseudomonas aeruginosa.

Protein science : a publication of the Protein Society
Pseudomonas aeruginosa is a prominent opportunistic pathogen whose virulence is closely linked to its Type III Secretion System (T3SS), a specialized apparatus that injects effector proteins into host cells. T3SS chaperones are essential for stabiliz... read more 

Artificial Intelligence in Drug Discovery and Development: Transforming Pharmaceutical Innovation.

Drug development research
Drug discovery remains a lengthy, costly, and high-risk endeavor, often requiring over a decade from target identification to clinical translation. Artificial intelligence (AI) is reshaping this paradigm by enabling more efficient and accurate decisi... read more 

Artificial Intelligence Clustering Approach for Force Mapping Analysis of Polyacrylic Acid (PAA)/Polyethylene Oxide (PEO) Polymer Brushes for Biosensor Applications.

Journal of molecular recognition : JMR
Biocompatibility of a biosensor can be achieved by grafting polymer brushes onto a solid surface. These brushes must be able to attract specific analytes or repel unwanted entities. This is obtained with weak polyelectrolyte polymer brushes that shri... read more 

Investigation of the Accuracy and Contributing Factors of AI-Based Diagnosis of Urothelial Carcinoma in Canine Abdominal Radiography.

Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association
Urothelial carcinoma (UC) is a highly malignant urinary cancer of the transitional epithelium in dogs. Recent advances in artificial intelligence (AI) and machine learning have shown substantial potential in veterinary medicine. The purpose of this s... read more 

A Hybrid-Mamba network with dual level attention fusion for multimodal COPD diagnosis.

Medical physics
BACKGROUND: Chronic obstructive pulmonary disease (COPD) remains difficult to diagnose reliably due to limitations of conventional spirometry and CT interpretation. Although deep learning has shown promise, CNNs are constrained by local receptive fie... read more 

A proof-of-concept study of multitask learning for cranial synthetic CT generation across heterogeneous MRI field strengths.

Medical physics
BACKGROUND: Accurate synthesis of computed tomography (CT) images from magnetic resonance imaging (MRI) is clinically valuable for cranial applications such as attenuation correction, radiotherapy planning, and image-guided interventions. However, th... read more 

Prehospital Risk Stratification Using Unsupervised Machine Learning in STEMI.

European journal of clinical investigation
BACKGROUND: ST-elevation myocardial infarction (STEMI) exhibits substantial clinical heterogeneity complicating prehospital risk stratification. Traditional risk assessment tools often fail to capture the complexity of this condition. Machine learnin... read more