AIMC Topic: Artificial Intelligence

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An XAI method for convolutional neural networks in self-driving cars.

PloS one
eXplainable Artificial Intelligence (XAI) is a new trend of machine learning. Machine learning models are used to predict or decide something, and they derive output based on a large volume of data set. Here, the problem is that it is hard to know wh...

Artificial Intelligence and Machine Learning in Surgery.

The American surgeon
In the present era, the technology of artificial intelligence has started to rapidly gain popularity as a revolutionary innovation in healthcare. The following article serves as the introduction to our symposium on artificial intelligence in surgery.

Computability theory as a achievement.

Clinical chemistry and laboratory medicine
Artificial intelligence plays an important role in contemporary medicine. In this short note, we emphasize that philosophy played a role in the development of artificial intelligence. We argue that research in computability theory, the theoretical fo...

Interpretable Artificial Intelligence through Locality Guided Neural Networks.

Neural networks : the official journal of the International Neural Network Society
In current deep learning architectures, each of the deeper layers in networks tends to contain hundreds of unorganized neurons which makes it hard for humans to understand how they interact with each other. By organizing the neurons using correlation...

3D-RISM-AI: A Machine Learning Approach to Predict Protein-Ligand Binding Affinity Using 3D-RISM.

The journal of physical chemistry. B
Hydration free energy (HFE) is a key factor in improving protein-ligand binding free energy (BFE) prediction accuracy. The HFE itself can be calculated using the three-dimensional reference interaction model (3D-RISM); however, the BFE predictions so...

From Classic to Modern Prognostic Biomarkers in Patients with Acute Myocardial Infarction.

International journal of molecular sciences
Despite all the important advances in its diagnosis and treatment, acute myocardial infarction (AMI) is still one of the most prominent causes of morbidity and mortality worldwide. Early identification of patients at high risk of poor outcomes throug...

Comparison between cephalometric measurements using digital manual and web-based artificial intelligence cephalometric tracing software.

Dental press journal of orthodontics
OBJECTIVE: The aim of this study was to compare the measurements performed with digital manual (DM) cephalometric analysis and automatic cephalometric analysis obtained from an online artificial intelligence (AI) platform, according to different sagi...

SANE (Easy Gait Analysis System): Towards an AI-Assisted Automatic Gait-Analysis.

International journal of environmental research and public health
The gait cycle of humans may be influenced by a range of variables, including neurological, orthopedic, and pathological conditions. Thus, gait analysis has a broad variety of applications, including the diagnosis of neurological disorders, the study...

Risk Factors Analysis of Surgical Infection Using Artificial Intelligence: A Single Center Study.

International journal of environmental research and public health
Surgical site infections (SSIs) have a major role in the evolution of medical care. Despite centuries of medical progress, the management of surgical infection remains a pressing concern. Nowadays, the SSIs continue to be an important factor able to...