Artificial Intelligence Medical Compendium

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

Showing 3,451 to 3,460 of 168,679 articles

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification

arXiv
Accurate system identification is crucial for reducing trajectory drift in bipedal locomotion, particularly in reinforcement learning and model-based control. In this paper, we present a novel control framework that integrates system identification... read more 

Quantum Federated Learning in Healthcare: The Shift from Development to Deployment and from Models to Data.

IEEE journal of biomedical and health informatics
Healthcare organizations have a high volume of sensitive data and traditional technologies have limited storage capacity and computational resources. The prospect of sharing healthcare data for machine learning is more arduous due to firm regulations... read more 

FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data

arXiv
LLM-powered conversational assistants are often deployed in a one-size-fits-all manner, which fails to accommodate individual user preferences. Recently, LLM personalization -- tailoring models to align with specific user preferences -- has gained ... read more 

Network intrusion detection model using wrapper based feature selection and multi head attention transformers.

Scientific reports
Nowadays, many fields, such as healthcare, farming, factories, transportation, cities, and homes are connected via network devices. These systems are configured in open environments and are prone to malicious attacks. It is important to protect these... read more 

Comparison of machine learning models for mucopolysaccharidosis early diagnosis using UAE medical records.

Scientific reports
Rare diseases, such as Mucopolysaccharidosis (MPS), present significant challenges to the healthcare system. Some of the most critical challenges are the delay and the lack of accurate disease diagnosis. Early diagnosis of MPS is crucial, as it has t... read more 

Personalized Knowledge Transfer Through Generative AI: Contextualizing Learning to Individual Career Goals

arXiv
As artificial intelligence becomes increasingly integrated into digital learning environments, the personalization of learning content to reflect learners' individual career goals offers promising potential to enhance engagement and long-term motiv... read more 

Complex-Valued Chemometrics in Spectroscopy: Inverse Least Squares Regression.

Applied spectroscopy
Inverse least squares (ILS) regression is an advancement of classical least squares (CLS) regression, enabling the calculation of concentrations without requiring prior knowledge of the number of components in a mixture. Complex-valued ILS further en... read more 

AI-Guided Cardiac Computer Tomography in Type 1 Diabetes Patients with Low Coronary Artery Calcium Score.

Diabetes technology & therapeutics
Cardiovascular risk stratification based on traditional risk factors lacks precision at the individual level. While coronary artery calcium (CAC) scoring enhances risk prediction by detecting calcified atherosclerotic plaques, it may underestimate r... read more 

Socioeconomic impact of artificial intelligence-driven point-of-care testing devices for liquid biopsy in the OncoCheck system.

Cancer metastasis reviews
Cancer disparities in low- and middle-income countries (LMICs) persist because of socioeconomic inequalities and limited access to screening infrastructure, which requires equitable diagnostic solutions. As researchers, we need to develop interventio... read more 

Developing personalized algorithms for sensing mental health symptoms in daily life.

Npj mental health research
The integration of artificial intelligence (AI) and pervasive computing offers new opportunities to sense mental health symptoms and deliver just-in-time adaptive interventions via mobile devices. This pilot study tested personalized versus generaliz... read more