Artificial Intelligence Medical Compendium

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

Showing 671 to 680 of 159,839 articles

Personalizing brain stimulation: continual learning for sleep spindle detection.

Journal of neural engineering Jul 15, 2025
Personalized stimulation, in which algorithms used to detect neural events adapt to a user's unique neural characteristics, may be crucial to enable optimized and consistent stimulation quality for both fundamental research and clinical applications.... read more 
Electroencephalography Sleep Deep Brain Stimulation Adult Sleep Stages Male Female Humans Precision Medicine Learning Brain Algorithms

An interpretable machine learning model for predicting bone marrow invasion in patients with lymphoma via F-FDG PET/CT: a multicenter study.

BMC medical informatics and decision making Jul 15, 2025
PURPOSE: Accurate identification of bone marrow invasion (BMI) is critical for determining the prognosis of and treatment strategies for lymphoma. Although bone marrow biopsy (BMB) is the current gold standard, its invasive nature and sampling errors... read more 
Fluorodeoxyglucose F18 Positron Emission Tomography Computed Tomography Radiopharmaceuticals Bone Marrow Aged Deep Learning Female Lymphoma Male Adult Humans Machine Learning Middle Aged

Evaluating the Usability of an HIV Prevention Artificial Intelligence Chatbot in Malaysia: National Observational Study.

JMIR human factors Jul 15, 2025
BACKGROUND: Malaysia, an upper middle-income country in the Asia-Pacific region, has an HIV epidemic that has transitioned from needle sharing to sexual transmission, mainly in men who have sex with men (MSM). MSM are the most vulnerable population f... read more 
Middle Aged HIV Infections Male Homosexuality, Male HIV Testing Malaysia Humans Generative Artificial Intelligence Adult Artificial Intelligence

A Robust Controller based on Gaussian Processes for Robotic Manipulators with Unknown Uncertainty

arXiv Jul 15, 2025
In this paper, we propose a novel learning-based robust feedback linearization strategy to ensure precise trajectory tracking for an important family of Lagrangian systems. We assume a nominal knowledge of the dynamics is given but no a-priori boun... read more 
Robotics Systems and Control Systems and Control

Artificial-intelligence-guided design of ordered gas diffusion layers for high-performing fuel cells via Bayesian machine learning.

Nature communications Jul 15, 2025
Rational design of gas diffusion layers (GDL) is an example of a long-standing pursuit to increase the power density and reduce the cost of proton exchange membrane fuel cells (PEMFC). However, current state-of-the-art GDLs are designed by trial-and-... read more 

Postoperative complication severity prediction in penile prosthesis implantation: a machine learning-based predictive modeling study.

International journal of impotence research Jul 15, 2025
Prediction of postoperative complications is crucial in surgical care, particularly for penile prosthesis implantation. We retrospectively evaluated demographic, clinical, laboratory, and surgical data from patients who underwent penile prosthesis im... read more 

Temperature Extensible Deep Potential Model for Molten NaF-BeF-ZrF: Predicting Transport Properties and Local Structure.

The journal of physical chemistry. B Jul 15, 2025
Molten NaF-BeF-ZrF (FNaBeZr) has garnered significant interest as one of the potential nuclear fuel carrier salts for molten salt reactors. Here, deep potential molecular dynamic (DPMD) simulations by integrating first-principles calculation, machine... read more 

Hybrid AI and semiconductor approaches for power quality improvement.

Scientific reports Jul 15, 2025
This research presents a novel approach to improving electric power quality using semiconductor devices by integrating Machine Learning (ML), Deep Learning (DL), and advanced control strategies. The research addresses key power quality challenges - i... read more 

Machine learning-enabled estimation of cardiac output from peripheral waveforms is independent of blood pressure measurement location in an in silico population.

Scientific reports Jul 15, 2025
Monitoring of cardiac output (CO) is a mainstay of hemodynamic management in the acutely or critically ill patient. Invasive determination of CO using thermodilution, albeit regarded as the gold standard, is cumbersome and bears risks inherent to cat... read more 
Humans Neural Networks, Computer Female Male Computer Simulation Machine Learning Cardiac Output Blood Pressure Determination Middle Aged Blood Pressure

Predicting the interfacial tension of CO and NaCl aqueous solution with machine learning.

Scientific reports Jul 15, 2025
Achieving carbon neutrality requires effective strategies to reduce CO emissions, and geological sequestration of CO is considered among the most promising and economically viable options. The interfacial tension (IFT) between the CO and the surround... read more 
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