AIMC Topic: Artificial Intelligence

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Risk Assessment of Green Intelligent Building Based on Artificial Intelligence.

Computational intelligence and neuroscience
Green smart building is the development direction of future architecture. It is of great significance to carry out risk assessment. Fire risk is the key content of building risk, so this paper takes fire risk as the research object, with the help of ...

Endoscopy Training in the Age of Artificial Intelligence: Deep Learning or Artificial Competence?

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association

Comparison of AudaxCeph®'s fully automated cephalometric tracing technology to a semi-automated approach by human examiners.

International orthodontics
OBJECTIVE: To compare the reliability of cephalometric landmark identification by an automated tracing software based on convolutional neural networks to human tracers.

The three horizons model applied to medical science.

Postgraduate medicine
The three horizons model is a framework that helps manage an organization's innovation strategy. This model considers three aspects (horizons) that should be present in the institution and guide the development of new systems. Applied to medical scie...

Lifelong Teacher-Student Network Learning.

IEEE transactions on pattern analysis and machine intelligence
A unique cognitive capability of humans consists in their ability to acquire new knowledge and skills from a sequence of experiences. Meanwhile, artificial intelligence systems are good at learning only the last given task without being able to remem...

Support Vector Machine Classifier via L Soft-Margin Loss.

IEEE transactions on pattern analysis and machine intelligence
Support vector machines (SVM) have drawn wide attention for the last two decades due to its extensive applications, so a vast body of work has developed optimization algorithms to solve SVM with various soft-margin losses. To distinguish all, in this...

Importance Weight Estimation and Generalization in Domain Adaptation Under Label Shift.

IEEE transactions on pattern analysis and machine intelligence
We study generalization under labeled shift for categorical and general normed label spaces. We propose a series of methods to estimate the importance weights from labeled source to unlabeled target domain and provide confidence bounds for these esti...

Imaging of Structural Abnormalities of the Sacrum: The Old Faithful and Newly Emerging Techniques.

Seminars in musculoskeletal radiology
The sacrum and sacroiliac joints pose a long-standing challenge for adequate imaging because of their complex anatomical form, oblique orientation, and posterior location in the pelvis, making them subject to superimposition. The sacrum and sacroilia...

Minimized Computations of Deep Learning Technique for Early Diagnosis of Diabetic Retinopathy Using IoT-Based Medical Devices.

Computational intelligence and neuroscience
Diabetes mellitus is the main cause of diabetic retinopathy, the most common cause of blindness worldwide. In order to slow down or prevent vision loss and degeneration, early detection and treatment are essential. For the purpose of detecting and cl...

Analysis of the Exploration of Security and Privacy for Healthcare Management Using Artificial Intelligence: Saudi Hospitals.

Computational intelligence and neuroscience
A large component of the Health Information Systems now comprises numerous independent apps created in the past that need to be merged to provide a more uniform service. In addition to affecting the Intelligent Health Board Functionality and dependab...