Deep Learning in Cardiothoracic Ratio Calculation and Cardiomegaly Detection.

: The purpose of this study is to evaluate the performance of our deep learning algorithm in calculating cardiothoracic ratio (CTR) and thus in the assessment of cardiomegaly or pericardial effusion occurrences on chest radiography (CXR). : From a database of 8000 CXRs, 13 folders with a comparable number of images were created. Then, 1020 images were chosen randomly, in proportion to the number of images in each folder.

Chest X-ray Foreign Objects Detection Using Artificial Intelligence.

Diagnostic imaging has become an integral part of the healthcare system. In recent years, scientists around the world have been working on artificial intelligence-based tools that help in achieving better and faster diagnoses. Their accuracy is crucial for successful treatment, especially for imaging diagnostics.

What Is Machine Learning, Artificial Neural Networks and Deep Learning?-Examples of Practical Applications in Medicine.

Machine learning (ML), artificial neural networks (ANNs), and deep learning (DL) are all topics that fall under the heading of artificial intelligence (AI) and have gained popularity in recent years. ML involves the application of algorithms to automate decision-making processes using models that have not been manually programmed but have been trained on data. ANNs that are a part of ML aim to simulate the structure and function of the human brain.

Electronic Information Standards to Support Obesity Prevention and Bridge Services Across Systems, 2010-2015.

Electronic information technology standards facilitate high-quality, uniform collection of data for improved delivery and measurement of health care services. Electronic information standards also aid information exchange between secure systems that link health care and public health for better coordination of patient care and better-informed population health improvement activities. We developed international data standards for healthy weight that provide common definitions for electronic information technology.

Partnership for a Healthier America: Creating Change Through Private Sector Partnerships.

Purpose Of Review: This review provides background on the formation of the Partnership for a Healthier America (PHA), that was created in conjunction with the Let's Move! initiative, and an overview of its work to date.

Recent Findings: To encourage industry to offer and promote healthier options, PHA partners with the private sector. Principles that guide PHA partnerships include ensuring that partnerships represent meaningful change, partners sign a legally binding contract and progress is monitored and publicly reported.