Artificial Intelligence Medical Compendium

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

Showing 69,691 to 69,700 of 234,067 articles

Regulatory Challenges and Opportunities: A Review of U.S. Food and Drug Administration-Approved Artificial Intelligence and Machine Learning-Enabled Cardiovascular Devices.

Therapeutic innovation & regulatory science
The integration of artificial intelligence (AI) and machine learning (ML) into medical devices has revolutionized healthcare, enhancing diagnostic accuracy and clinical decision-making. However, their rapid evolution poses challenges to traditional r... read more 

Visual input statistics and behavioral relevance jointly constrain higher visual cortex organization.

Cognitive neuroscience
Ritchie and colleagues propose that the functional organization of higher visual cortex is best understood through the lens of behavioral relevance, advocating for a shift away from theories that center around category selectivity. Building on this, ... read more 

Thank You for Choosing Public Health Education: A Reminder to Students Why We Need You.

Health education & behavior : the official publication of the Society for Public Health Education
This commentary captures the keynote addressed shared by the 2024 SOPHE President during the organization's 75th anniversary meeting in Long Beach, California. The keynote address sought to encourage students to remain committed to obtaining the best... read more 

Explainable artificial intelligence for multi-modal cancer analysis: From genomics to immunology.

Critical reviews in oncology/hematology
Cancer remains one of the most biologically intricate and heterogeneous diseases, with variability spanning genetic, epigenetic, metabolic, spatial, and immunological dimensions. This multifactorial complexity is shaped by tumor-microenvironment inte... read more 

AngioWave Artificial Intelligence-Assisted Analysis of Septal Collaterals for Retrograde Chronic Total Occlusion Percutaneous Coronary Intervention.

The American journal of cardiology
Artificial intelligence (AI) can augment coronary angiography images to enhance interpretation. We compared two blinded operators' interpretation of chronic total occlusion (CTO) angiograms obtained for retrograde percutaneous coronary intervention (... read more 

Comparing prostate diffusion weighted images reconstructed with a commercial deep-learning product to a deep learning phase corrected model at 1.5 T.

Clinical imaging
PURPOSE: To determine whether a new deep learning (DL) based phase corrected (DLPC) reconstruction model can enhance image quality of diffusion weighted images of the prostate acquired at 1.5 T compared to a commercially available DL based product. M... read more 

Discovery of Mangifera indica-based natural inhibitors against TEM-1 β-lactamase from Escherichia coli using machine learning approaches.

Computational biology and chemistry
Antimicrobial resistance driven by β-lactamase enzymes, particularly TEM-1 in Escherichia coli, compromises the efficacy of β-lactam antibiotics. This study applied a deep learning-guided pipeline to identify Mangifera indica phytochemicals as potent... read more 

Reveal a risk and potential mechanism for keratoconus progression with isotretinoin: Toxicogenomic, transcriptomics and real-world evidence insights.

Experimental eye research
PURPOSE: Limited clinical data and unstable animal models hinder understanding isotretinoin-induced keratoconus. We addressed this by integrating pharmacovigilance with computational approaches. METHODS: Isotretinoin-associated ocular surface adverse... read more 

Screening tools and strategies for early detection of oral cancer and potentially malignant disorders in rural and low-resource populations: A systematic review.

Journal of stomatology, oral and maxillofacial surgery
Oral cancer and its precursor lesions, known as oral potentially malignant disorders (OPMDs), present significant public health challenges due to high morbidity and mortality rates. These issues are particularly pronounced in rural and remote populat... read more 

Generation of antifungals to combat drug resistance using language models and diffusion models.

Journal of advanced research
INTRODUCTION: The growing scarcity of effective antifungal agents, coupled with rising drug‑resistance, creates an urgent demand for novel therapeutics. Recent advances in artificial intelligence (AI) have opened new avenues for accelerating small‑mo... read more