AIMC Topic: Artificial Intelligence

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Novel artificial intelligent transformer U-NET for better identification and management of prostate cancer.

Molecular and cellular biochemistry
Advancements in artificial intelligence (AI) strengthens life-altering technology that can not only reduce human workload but also enhance speed and efficiency in medicine. Medical image segmentation, for example, MRI analysis, is an arduous task for...

Mapping the Landscape of Care Providers' Quality Assurance Approaches for AI in Diagnostic Imaging.

Journal of digital imaging
The discussion on artificial intelligence (AI) solutions in diagnostic imaging has matured in recent years. The potential value of AI adoption is well established, as are the potential risks associated. Much focus has, rightfully, been on regulatory ...

Deep learning-based diagnostic model for predicting complications after gastrectomy.

Asian journal of endoscopic surgery
BACKGROUND: Gastric cancer is one of the leading causes of cancer deaths, and gastrectomy with lymph node dissection is the mainstay of treatment. Despite clinician efforts and advances in surgical methods, the incidence of complications after gastre...

Artificial intelligence and automation in endoscopy and surgery.

Nature reviews. Gastroenterology & hepatology
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and displays to electronics connecting configurable illumination and actuation systems for robotic articulation. In addition to enabling more effective diagnostic and...

Artificial intelligence in lung cancer: current applications and perspectives.

Japanese journal of radiology
Artificial intelligence (AI) has been a very active research topic over the last years and thoracic imaging has particularly benefited from the development of AI and in particular deep learning. We have now entered a phase of adopting AI into clinica...

Discovery of RNA-targeted small molecules through the merging of experimental and computational technologies.

Expert opinion on drug discovery
INTRODUCTION: The field of RNA-targeted small molecules is rapidly evolving, owing to the advances in experimental and computational technologies. With the identification of several bioactive small molecules that target RNA, including the FDA-approve...

Evaluating the difference in walk patterns among normal-weight and overweight/obese individuals in real-world surfaces using statistical analysis and deep learning methods with inertial measurement unit data.

Physical and engineering sciences in medicine
Unusual walk patterns may increase individuals' risks of falling. Anthropometric features of the human body, such as the body mass index (BMI), influences the walk patterns of individuals. In addition to the BMI, uneven walking surfaces may cause var...

Artificial Intelligence You Can Trust: What Matters Beyond Performance When Applying Artificial Intelligence to Renal Histopathology?

Journal of the American Society of Nephrology : JASN
Although still in its infancy, artificial intelligence (AI) analysis of kidney biopsy images is anticipated to become an integral aspect of renal histopathology. As these systems are developed, the focus will understandably be on developing ever more...

VReID: Vision-Outlooker-Based Vehicle Re-Identification.

Sensors (Basel, Switzerland)
With the increase of large camera networks around us, it is becoming more difficult to manually identify vehicles. Computer vision enables us to automate this task. More specifically, vehicle re-identification (ReID) aims to identify cars in a camera...

Experiments on Adversarial Examples for Deep Learning Model Using Multimodal Sensors.

Sensors (Basel, Switzerland)
Recently, artificial intelligence (AI) based on IoT sensors has been widely used, which has increased the risk of attacks targeting AI. Adversarial examples are among the most serious types of attacks in which the attacker designs inputs that can cau...