Artificial Intelligence Medical Compendium

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

Showing 55,171 to 55,180 of 226,647 articles

Amplified warming in tropical and subtropical cities under 2 °C climate change.

Proceedings of the National Academy of Sciences of the United States of America
Cities are often warmer than rural surroundings due to a phenomenon known as the urban heat island, which can be influenced by various factors, such as regional climate and land surface types. Under climate change, cities face not only the challenge ... read more 

The Emerging Role of Artificial Intelligence in Drug Discovery and Development: Implications for Cardiovascular Pharmacology.

Journal of cardiovascular pharmacology
Cardiovascular diseases remain the leading cause of global morbidity and mortality, highlighting the urgent need for more efficient, precise, and cost-effective drug development strategies. Traditional drug discovery pipelines face persistent challen... read more 

Computational and Experimental Realization of Metal-Ion-Doped Orthorhombic Sn3O4 for Visible-Light-Active Photocatalysis.

Journal of the American Chemical Society
The orthorhombic tri-tin tetraoxide (Sn3O4) is a newly discovered polymorph and has attracted great attention due to its visible-light absorption capability. To improve performance and broaden the material space based on orthorhombic Sn3O4, impurity ... read more 

Lipid nanoparticle-delivered ornithine transcarbamylase mRNA alleviates liver fibrosis in preclinical models.

Hepatology (Baltimore, Md.)
BACKGROUND AND AIMS: Liver fibrosis poses a major health threat globally, with an acute shortage of effective treatments to stop or reverse its progression. Hepatocyte injury serves as the primary cause of liver fibrosis, and restoring the expression... read more 

GT-KANet: Robust Acetone Prediction for the Yttria-Stabilized Zirconia-Based Mixed Potential Type Sensor.

ACS sensors
The yttria-stabilized zirconia (YSZ)-based mixed potential gas sensor represents a promising platform for portable acetone detection systems, owing to their high sensitivity and selectivity. However, the practical deployment of these systems is hinde... read more 

Predicting Infant Sleep Patterns From Postpartum Maternal Mental Health Measures: Machine Learning Approach.

JMIR pediatrics and parenting
BACKGROUND: Postpartum maternal mental health (MMH) symptoms, including depression, anxiety, and childbirth-related post-traumatic stress disorder, are known to influence infant sleep trajectories. While previous research has examined their individua... read more 

Message Humanness as a Predictor of AI's Perception as Human: Secondary Data Analysis of the HeartBot Study.

JMIR AI
BACKGROUND: Artificial intelligence (AI) chatbots have become prominent tools in health care to enhance health knowledge and promote healthy behaviors across diverse populations. However, factors influencing the perception of AI chatbots and human-AI... read more 

Using AI Algorithms and Machine Learning in the Analysis of a Bio-Purification Method (Therapeutic Emesis, Known as "Vamana Karma"): Protocol for a Mixed Methods Study.

JMIR research protocols
BACKGROUND: Therapeutic emesis (TE), known as vamana karma, is a classical method of detoxification performed to eliminate vitiated kapha (bio-humor governing fluid regulation and structural cohesion of the body in normalcy) ailments from the body. T... read more 

Evaluation of an Artificial Intelligence Conversational Chatbot to Enhance HIV Preexposure Prophylaxis Uptake: Development and Usability Internal Testing.

Journal of medical Internet research
BACKGROUND: The HIV epidemic in the United States disproportionately impacts gay, bisexual, and other men who have sex with men (MSM). Despite the effectiveness of HIV preexposure prophylaxis (PrEP) in preventing HIV acquisition, uptake among MSM rem... read more 

Integrated Prediction System for Individualized Ovarian Stimulation and Ovarian Hyperstimulation Syndrome Prevention: Algorithm Development and Validation.

Journal of medical Internet research
BACKGROUND: Accurately predicting ovarian response and determining the optimal starting dose of follicle-stimulating hormone (FSH) remain critical yet challenging for effective ovarian stimulation. Currently, there is a lack of a comprehensive model ... read more