AIMC Topic: Artificial Intelligence

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Artificial intelligence and cardiology: Current status and perspective.

Journal of cardiology
The development of artificial intelligence (AI) began in the mid-20th century but has been rapidly accelerating in the past decade. Reflecting the development of digital health over the past few years, this trend is also seen in medicine. The field o...

Site-Specific Regulated Memristors via Electron-Beam-Induced Functionalization of HfO.

Small (Weinheim an der Bergstrasse, Germany)
Emerging nonvolatile resistive switching, also known as the memristor, works with a distinct concept that relies mainly on the change in the composition of the active materials, rather than to store the charge. Particularly for oxide-based memristors...

Artificial Intelligence Is Safer for My Privacy: Interplay Between Types of Personal Information and Agents on Perceived Privacy Risk and Concerns.

Cyberpsychology, behavior and social networking
The development of novel technologies has increasingly complicated the issue of users' privacy. This study aimed to investigate the impact that the types of information as well as agents have on perceptions of privacy risks and concerns. The results ...

Artificial intelligence "sees" split electrons.

Science (New York, N.Y.)
Machine-learning creates a density functional that accounts for fractional charge and spin.

Diagnostic Approach for Accurate Diagnosis of COVID-19 Employing Deep Learning and Transfer Learning Techniques through Chest X-ray Images Clinical Data in E-Healthcare.

Sensors (Basel, Switzerland)
COVID-19 is a transferable disease that is also a leading cause of death for a large number of people worldwide. This disease, caused by SARS-CoV-2, spreads very rapidly and quickly affects the respiratory system of the human being. Therefore, it is ...

Deep learning for anatomical interpretation of video bronchoscopy images.

Scientific reports
Anesthesiologists commonly use video bronchoscopy to facilitate intubation or confirm the location of the endotracheal tube; however, depth and orientation in the bronchial tree can often be confused because anesthesiologists cannot trace the airway ...

A mental models approach for defining explainable artificial intelligence.

BMC medical informatics and decision making
BACKGROUND: Wide-ranging concerns exist regarding the use of black-box modelling methods in sensitive contexts such as healthcare. Despite performance gains and hype, uptake of artificial intelligence (AI) is hindered by these concerns. Explainable A...

Research and Implementation of Mobile Internet Management Optimization and Intelligent Information System Based on Smart Decision.

Computational intelligence and neuroscience
The way by which artificial intelligence is implemented is similar to the thinking process of the human brain. People obtain information about external conditions through five senses, namely, vision, hearing, smell, taste, and touch, and, through the...

Artificial intelligence for the assessment of bowel preparation.

Gastrointestinal endoscopy
BACKGROUND AND AIMS: A reliable assessment of bowel preparation is important to ensure high-quality colonoscopy. Current bowel preparation scoring systems are limited by interobserver variability. This study aimed to demonstrate objective assessment ...