AIMC Topic: Artificial Intelligence

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Patient Perceptions on Data Sharing and Applying Artificial Intelligence to Health Care Data: Cross-sectional Survey.

Journal of medical Internet research
BACKGROUND: Considerable research is being conducted as to how artificial intelligence (AI) can be effectively applied to health care. However, for the successful implementation of AI, large amounts of health data are required for training and testin...

Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision.

PloS one
In this paper, we capture and explore the painterly depictions of materials to enable the study of depiction and perception of materials through the artists' eye. We annotated a dataset of 19k paintings with 200k+ bounding boxes from which polygon se...

Radiomics: a primer on high-throughput image phenotyping.

Abdominal radiology (New York)
Radiomics is a high-throughput approach to image phenotyping. It uses computer algorithms to extract and analyze a large number of quantitative features from radiological images. These radiomic features collectively describe unique patterns that can ...

Artificial intelligence applications in different imaging modalities for corneal topography.

Survey of ophthalmology
Interpretation of topographical maps used to detect corneal ectasias requires a high level of expertise. Several artificial intelligence (AI) technologies have attempted to interpret topographic maps. The purpose of this study is to provide a review ...

Deep learning to diagnose pouch of Douglas obliteration with ultrasound sliding sign.

Reproduction & fertility
OBJECTIVES: Pouch of Douglas (POD) obliteration is a severe consequence of inflammation in the pelvis, often seen in patients with endometriosis. The sliding sign is a dynamic transvaginal ultrasound (TVS) test that can diagnose POD obliteration. We ...

The lower threshold as a unifying principle between Code Biology and Biosemiotics.

Bio Systems
Whether we emphasize the notion of 'sign' or the notion of 'code', either way the main interest of biosemiotics and Code Biology is the same, and we argue that the idea of the lower threshold is what still unifies these two groups. Code Biology conce...

Artificial intelligence-enhanced echocardiography in the emergency department.

Emergency medicine Australasia : EMA
A focused cardiac ultrasound performed by an emergency physician is becoming part of the standard assessment of patients in a variety of clinical situations. The development of inexpensive, portable handheld devices promises to make point-of-care ult...

Deep learning in forensic shotgun pattern interpretation - A proof-of-concept study.

Legal medicine (Tokyo, Japan)
Little is known about the potential of artificial intelligence in forensic shotgun pattern interpretation. As shooting distance is among the main factors behind shotgun patterning, this proof-of-concept study aimed to explore the potential of neural ...

Towards personalized nutritional treatment for malnutrition using machine learning-based screening tools.

Clinical nutrition (Edinburgh, Scotland)
Early identification of patients at risk of malnutrition or who are malnourished is crucial in order to start a timely and adequate nutritional therapy. Yet, despite the presence of many nutrition screening tools for use in the hospital setting, ther...