Artificial Intelligence Medical Compendium

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

Showing 44,451 to 44,460 of 224,055 articles

Machine Learning-Enhanced Microfluidic Impedance Platform for Rare Cell Analysis.

Analytical chemistry
Rare cells, despite constituting only a small fraction of the population, play a critical role in health and disease. For instance, a minor subset of cancer cells can drive tumor initiation and progression. However, detecting and analyzing rare cells... read more 

Climate change will increase forest disturbances in Europe throughout the 21st century.

Science (New York, N.Y.)
Wildfires, insect outbreaks, and storms cause large pulses of tree mortality. Climate change amplifies these forest disturbances, yet their future magnitude and extent remain uncertain. Here, we simulated future forest disturbance regimes at 100-mete... read more 

Psychosis Risk and Generative Artificial Intelligence Use Frequency, Motivations, and Delusion-Like Experiences: Cross-Sectional Survey Study.

Journal of medical Internet research
BACKGROUND: Growth of generative artificial intelligence (GenAI) has exploded in recent years. Many have noted its substantial potential to increase access to scalable digital mental health interventions or provide companions for individuals who are ... read more 

Automated Annotation of Pain Chronicity in Patients With Back Pain by Using Electronic Health Records: Retrospective Study.

JMIR formative research
BACKGROUND: Chronic back pain is a severe health condition with underlying biopsychosocial factors that make diagnosis difficult, and pain chronicity has been shown to be an important variable for studying patient outcomes. Due to the absence of stan... read more 

Cross-Cultural Differences in Public Discourse on COVID-19 Vaccination in the United States and South Korea: Cross-Sectional Analysis Using Natural Language Processing.

JMIR formative research
BACKGROUND: The COVID-19 vaccine was introduced as a crucial tool to combat the pandemic. However, concerns about its effectiveness, side effects, and misinformation spread remain. Prior research largely relied on survey-based approaches with limited... read more 

Artificial Intelligence for T classification of TNM breast cancer in MRI imaging: Enabling Precision in Treatment Decisions.

Biomedical physics & engineering express
The integration of artificial intelligence (AI) into breast cancer management presents transformative potential for both diagnosis and treatment planning. This study introduces a resilient AI framework designed to accomplish, from breast MRI images, ... read more 

NeuroCardioSense (NCS): A Time-Aware Fuzzy Decision Framework for Multi-Lead ECG Classification and Arrhythmia Detection.

Biomedical physics & engineering express
Accurate classification of electrocardiogram (ECG) signals is essential for automated arrhythmia detection and clinical decision support. Existing deep learning methods still struggle to jointly characterize morphological patterns, multi-lead interac... read more 

Neural Network-Based Detection of Adulterants in Opioid Samples Using IR Absorption Spectroscopy.

Drug testing and analysis
Community-based drug checking services are challenged in their ability to reliably detect low concentration adulterants that are increasingly present in the illicit drug supply. Spectral signatures from commonly used field instruments such as infrare... read more 

Artificial Intelligence in Drug Discovery and Development: Raising Quality per Decision.

Pharmacopsychiatry
Drug research and development continuously encounters prolonged timelines, escalating costs, and high attrition rates. In this narrative review, we integrated recent advances in artificial intelligence across target identification, drug repurposing, ... read more 

Association of diabetes severity with cognitive function in US adults: a cross-sectional analysis of the AI-READI multicentre cohort.

BMJ open
OBJECTIVES: To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using standardised Montreal Cognitive Assessment (MoCA) testing. D... read more