Artificial Intelligence Medical Compendium

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

Showing 17,931 to 17,940 of 214,033 articles

Microfluidic co-culture system for synaptically segregated neural networks to explore astrocyte-driven neural pathology.

Microsystems & nanoengineering
Investigating astrocyte-neuron communication in the absence of neuron-to-neuron signalling is challenging using traditional culture systems due to the complexity of synaptic networks. To address this, we designed a three-compartment microfluidic co-c... read more 

Metaheuristic optimization of deep CNNs for multi-class diagnosis of cervical cancer and lymphoma.

Scientific reports
Accurate and early diagnosis of cancer is critical for determining effective treatment strategies and improving patient survival rates. However, automated multi-class cancer detection remains an enormous clinical and computational challenge due to th... read more 

Machine learning using PROFUND components for 30-day readmission prediction in multimorbid patients: a prospective multicentre study.

Scientific reports
Early hospital readmission in multimorbid patients remains a major clinical challenge. Although risk stratification tools are widely used, predictive performance is often limited. The PROFUND index captures frailty, functional dependence, and social ... read more 

Veterinary fracture diagnosis: a deep learning model for dogs long bone fractures.

Scientific reports
Bone fractures in dogs are common orthopaedic conditions that require accurate diagnosis and rapid intervention. Traditional radiographic interpretation is often time consuming and is subject to variability, emphasizing the need for automated diagnos... read more 

Deep learning and IoT-based framework for sesame plant identification and weed detection.

Scientific reports
Automated weed identification in agriculture is a prominent and promising technological intervention as it improves the overall crop productivity and yield. But finding weeds in dense sesame fields is still hard because of occlusion and changes in li... read more 

Application of deep learning based motion posture recognition in sports training.

Scientific reports
The increasing demand for precise and real-time analysis of athletic movements has driven the adoption of advanced deep-learning techniques in sports training. Traditional methods often rely on manual observation or shallow machine learning models, w... read more 

Digital twin- enabled intelligent HMI for real-time industrial automation systems.

Scientific reports
The research is devoted to solving the urgent problem of industrial production intellectualization based on the creation of an intelligent HMI display using a unified artificial immune system (UAIS) with neuro-endocrine interaction technologies for t... read more 

Forging Sustainable Carbon-Nitrogen Bonds from CO2 and NOx: Mechanistic Insights and Catalyst Design for Electrochemical CN Coupling.

ChemSusChem
Electrochemical CN coupling between carbon sources (CO2, CO) and nitrogen feedstocks (NOx) offers a sustainable route to synthesize value-added organonitrogen compounds under ambient conditions. This strategy circumvents the high-temperature and mul... read more 

Development and validation of a rule-based tool for quality management reporting in a genetics laboratory.

Practical laboratory medicine
INTRODUCTION: Quality management systems are essential in clinical laboratories to ensure optimal operational output. However, report generation still frequently relies on manual processes which are time-consuming and prone to errors. METHODS: A rule... read more 

Generative intelligence explores the chemical space of ten million catalysts.

Chemical science
Discovery of catalytic materials requires systematic exploration of vast chemical spaces. However, the scope of exploration that can be achieved using conventional theoretical and experimental methods is very limited. Herein, we present a scalable fr... read more