Artificial Intelligence Medical Compendium

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

Showing 54,751 to 54,760 of 226,183 articles

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 

Explainable AI Approaches in Federated Learning: Systematic Review.

JMIR AI
BACKGROUND: Artificial intelligence (AI) has, in the recent past, experienced a rebirth with the growth of generative AI systems such as ChatGPT and Bard. These systems are trained with billions of parameters and have enabled widespread accessibility... read more 

Behavioral Dynamics of AI Trust and Health Care Delays Among Adults: Integrated Cross-Sectional Survey and Agent-Based Modeling Study.

Journal of medical Internet research
BACKGROUND: While artificial intelligence (AI) holds significant promise for health care, excessive trust in these tools may unintentionally delay patients from seeking professional care, particularly among patients with chronic illnesses. However, t... read more