AIMC Topic: Artificial Intelligence

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Prediction of COVID-19 cases using the weather integrated deep learning approach for India.

Transboundary and emerging diseases
Advanced and accurate forecasting of COVID-19 cases plays a crucial role in planning and supplying resources effectively. Artificial Intelligence (AI) techniques have proved their capability in time series forecasting non-linear problems. In the pres...

2020 ACR Data Science Institute Artificial Intelligence Survey.

Journal of the American College of Radiology : JACR
PURPOSE: The ACR Data Science Institute conducted its first annual survey of ACR members to understand how radiologists are using artificial intelligence (AI) in clinical practice and to provide a baseline for monitoring trends in AI use over time.

Living systems are smarter bots: Slime mold semiosis versus AI symbol manipulation.

Bio Systems
Although machines may be good at mimicking, they are not currently able, as organisms are, to act creatively. We offer an understanding of the emergent qualities of biological sign processing in terms of generalization, association, and encryption. W...

Automated mapping and N-Staging of thoracic lymph nodes in contrast-enhanced CT scans of the chest using a fully convolutional neural network.

European journal of radiology
PURPOSE: To develop a deep-learning (DL)-based approach for thoracic lymph node (LN) mapping based on their anatomical location.

Tumor classification in automated breast ultrasound (ABUS) based on a modified extracting feature network.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
People can get consistent Automated Breast Ultrasound (ABUS) images due to the imaging mechanism of scanning. Therefore, it has unique advantages in breast tumor classification using artificial intelligence technology. This paper proposes a method fo...

Role of Machine Learning and Artificial Intelligence in Interventional Oncology.

Current oncology reports
PURPOSE OF REVIEW: The purpose of this review is to highlight the current role of machine learning and artificial intelligence and in the field of interventional oncology.

Task-sharing with artificial intelligence: a design hypothesis for an Emergency Unit in sub-Saharan Africa.

The Pan African medical journal
In sub-Saharan Africa, there is a significant unmet need for emergency care, with a shortage of trained providers. One model to increase the number of providers is to task-share: roles traditionally filled by clinicians are shared with lay workers wh...

Detection of flat colorectal neoplasia by artificial intelligence: A systematic review.

Best practice & research. Clinical gastroenterology
OBJECTIVES: This study review focuses on a deep learning method for the detection of colorectal lesions in colonoscopy and AI support for detecting colorectal neoplasia, especially in flat lesions.

Artificial Intelligence-Based Diagnosis of Diabetes Mellitus: Combining Fundus Photography with Traditional Chinese Medicine Diagnostic Methodology.

BioMed research international
In this study, we propose a technique for diagnosing both type 1 and type 2 diabetes in a quick, noninvasive way by using equipment that is easy to transport. Diabetes mellitus is a chronic disease that affects public health globally. Although diabet...