Artificial Intelligence Medical Compendium

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

Showing 1,981 to 1,990 of 165,462 articles

Exploring doctors' perspectives on precision medicine and AI in colorectal cancer: opportunities and challenges for the doctor-patient relationship.

BMC medical informatics and decision making
BACKGROUND: Precision medicine and artificial intelligence (AI) are increasingly integrated into colorectal cancer (CRC) care, offering personalised treatment strategies and data-driven decision support. While these technologies promise improved outc... read more 

Unraveling Oil-Microbubble Interactions via a Ternary Phase-Field Model and Machine Learning for Enhanced Surface Cleaning.

Langmuir : the ACS journal of surfaces and colloids
This study examines the collision dynamics of a rising microbubble (MB) with an oil droplet adhered to a vertical wall for oily surface cleaning. A high-resolution numerical model based on a ternary phase-field model is developed to analyze MB-oil dr... read more 

Association between atherogenic index of plasma and hypertension combined with diabetes mellitus in United States adults: an analysis of the NHANES surveys from 2011 to 2016.

Journal of health, population, and nutrition
INTRODUCTION: Observational studies have indicated that individuals with hypertension (HTN) and diabetes mellitus (DM) tend to exhibit elevated plasma atherogenic index of plasma (AIP), defined as log (triglyceride [TG]/high-density lipoprotein chole... read more 

MentalAId: an improved DenseNet model to assist scalable psychosis assessment.

BMC psychiatry
BACKGROUND: The escalating mental health crisis during and post-COVID-19 underscores the urgent need for scalable, timely, cost-effective assessment solutions for general psychotic disorders. Regretfully, traditional symptom-based, one-to-one assessm... read more 

A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference.

Scientific reports
Medical image analysis using deep learning algorithms has become a basis of modern healthcare, enabling early detection, diagnosis, treatment planning, and disease monitoring. However, sharing sensitive raw medical data with third parties for analysi... read more 

Quantum dot-infused nanocomposites: revolutionizing diagnostic sensitivity.

Nanoscale
Quantum dot-doped nanocomposites (QDNCs) represent an innovative breakthrough in diagnostic medicine, enabling ultra-sensitive and accurate detection at disease onset. Utilizing the size-tunable optical properties, high quantum yield, and photostabil... read more 

A Novel Deep Reinforcement Learning Approach for Dynamic Proportional-Integral Control in Scanning Probe Microscopy.

Small (Weinheim an der Bergstrasse, Germany)
Scanning Probe Microscopy (SPM) measurements often encounter challenges due to the nonlinear and time-varying behavior of materials, as well as abrupt changes in structure, properties, or topography. These issues can lead to system instability and im... read more 

HLAIIPred: cross-attention mechanism for modeling the interaction of HLA class II molecules with peptides.

Communications biology
We introduce HLAIIPred, a deep learning model to predict peptides presented by class II human leukocyte antigens (HLAII) on the surface of antigen presenting cells. HLAIIPred is trained using a Transformer-based neural network and a dataset comprisin... read more 

AI in therapeutic and assistive exoskeletons and exosuits: Influences on performance and autonomy.

Science robotics
Therapeutic and assistive exoskeletons and exosuits show promise in both clinical and real-world settings. Improving their autonomy can enhance usability, effectiveness, and cost efficiency. This Review presents a generic control framework for autono... read more