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Total 47 results found since Jan 2013.
Development of a Mobile Application Platform for Self-Management of Obesity Using Artificial Intelligence Techniques
Int J Telemed Appl. 2021 Aug 27;2021:6624057. doi: 10.1155/2021/6624057. eCollection 2021.ABSTRACTObesity is a major global health challenge and a risk factor for the leading causes of death, including heart disease, stroke, diabetes, and several types of cancer. Attempts to manage and regulate obesity have led to the implementation of various dietary regulatory initiatives to provide information on the calorie contents of meals. Although knowledge of the calorie content is useful for meal planning, it is not sufficient as other factors, including health status (diabetes, hypertension, etc.) and level of physical activity,...
Source: International Journal of Telemedicine and Applications - September 6, 2021 Category: Information Technology Authors: Sylvester M Sefa-Yeboah Kwabena Osei Annor Valencia J Koomson Firibu K Saalia Matilda Steiner-Asiedu Godfrey A Mills Source Type: research
Predicting the survivals and favorable neurologic outcomes after targeted temperature management by artificial neural networks
CONCLUSIONS: The ANN-based models achieved good performance to predict the survival and favorable neurologic outcomes after TTM. The models proposed have clinical value to assist in decision-making.PMID:34330620 | DOI:10.1016/j.jfma.2021.07.004
Source: J Formos Med Assoc - July 31, 2021 Category: General Medicine Authors: Wei-Ting Chiu Chen-Chih Chung Chien-Hua Huang Yu-San Chien Chih-Hsin Hsu Cheng-Hsueh Wu Chen-Hsu Wang Hung-Wen Chiu Lung Chan Source Type: research
Limited Effect of 60-Days Strict Head Down Tilt Bed Rest on Vascular Aging
Conclusion60 days HDTBR, while producing cardiovascular deconditioning and cephalad fluid shifts akin to weightlessness, did not worsen vascular stiffness. Artificial gravity training did not modulate the response.
Source: Frontiers in Physiology - May 28, 2021 Category: Physiology Source Type: research
Gravity Threshold and Dose Response Relationships: Health Benefits Using a Short Arm Human Centrifuge
ConclusionThe comprehensive cardiovascular evaluation of the response to a range of graded AG loads, as compared to standing, in male and female subjects provides the dose-response framework that enables us to explore and validate the usefulness of the centrifuge as a medical device. It further allows its use in precisely selecting personalized gravity therapy (GT) as needed for treatment or rehabilitation of individuals confined to bed.
Source: Frontiers in Physiology - May 11, 2021 Category: Physiology Source Type: research
Consider the Promises and Challenges of Medical Image Analyses Using Machine Learning
Medical imaging saves millions of lives each year, helping doctors detect and diagnose a wide range of diseases, from cancer and appendicitis to stroke and heart disease. Because non-invasive early disease detection saves so many lives, scientific investment continues to increase. Artifical intelligence (AI) has the potential to revolutionize the medical imaging industry by sifting through mountains of scans quickly and offering providers and patients with life-changing insights into a variety of diseases, injuries, and conditions that may be hard to detect without the supplemental technology.
Images are the largest source...
Source: MDDI - June 2, 2020 Category: Medical Devices Authors: Partha S. Anbil and Michael T. Ricci Tags: Imaging Source Type: news
AI and Health Care Are Made for Each Other
Artificial intelligence has the potential to radically change health care. Imagine a not too distant future when the focus shifts away from disease to how we stay healthy.
At birth, everyone would get a thorough, multifaceted baseline profile, including screening for genetic and rare diseases. Then, over their lifetimes, cost-effective, minimally invasive clinical-grade devices could accurately monitor a range of biometrics such as heart rate, blood pressure, temperature and glucose levels, in addition to environmental factors such as exposure to pathogens and toxins, and behavioral factors like sleep and activity patterns...
Source: TIME: Health - October 24, 2019 Category: Consumer Health News Authors: Geralyn Miller Tags: Uncategorized Healthcare Source Type: news
Let Plants be Thy Medicine – You Are What You Eat
Credit: Busani Bafana/IPSBy Esther Ngumbi and Ifeanyi NsoforILLINOIS, United States / ABUJA, Oct 16 2019 (IPS) United Nations World Food Day is celebrated around the world on October 16 under the theme: “Our Actions ARE Our Future. Healthy Diets for a Zero Hunger World”. This theme is timely, especially, because across Africa and around the world, there has been a gradual rise in malnutrition and diet-related non communicable diseases, as highlighted in The Lancet study and a United Nations Report published earlier this year.
While 45 percent of deaths in children are from nutrition-related causes, mainly malnu...
Source: IPS Inter Press Service - Health - October 16, 2019 Category: International Medicine & Public Health Authors: Esther Ngumbi and Ifeanyi Nsofor Tags: Food & Agriculture Global Headlines Health World Food Day Source Type: news
An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction
Publication date: Available online 1 August 2019Source: The LancetAuthor(s): Zachi I Attia, Peter A Noseworthy, Francisco Lopez-Jimenez, Samuel J Asirvatham, Abhishek J Deshmukh, Bernard J Gersh, Rickey E Carter, Xiaoxi Yao, Alejandro A Rabinstein, Brad J Erickson, Suraj Kapa, Paul A FriedmanSummaryBackgroundAtrial fibrillation is frequently asymptomatic and thus underdetected but is associated with stroke, heart failure, and death. Existing screening methods require prolonged monitoring and are limited by cost and low yield. We aimed to develop a rapid, inexpensive, point-of-care means of identifying patients with atrial ...
Source: The Lancet - August 2, 2019 Category: General Medicine Source Type: research
Computer-Aided Diagnosis and Clinical Trials of Cardiovascular Diseases Based on Artificial Intelligence Technologies for Risk-Early Warning Model
AbstractThe use of artificial intelligence in medicine is currently an issue of great interest, especially with regard to the diagnostic or predictive analysis of medical data. In order to achieve the regional medical and public health data analysis through artificial intelligence technologies, spark data analysis is adopted as the research platform for hypertension patients, and artificial intelligence technologies are used to preprocess the data with inconsistency, redundancy, incompleteness, noise and error; Aiming at the unbalanced data sets, the Z-score standard is adopted to convert data into usable form suitable for...
Source: Journal of Medical Systems - June 12, 2019 Category: Information Technology Source Type: research
