Application of AI to the Electrocardiogram Application of AI to the Electrocardiogram
This paper presents an introduction to the mathematical basis of AI algorithms, and reviews their application in ECG cardiac screening for specific conditions including LVSD, HCM, and silent AF.European Heart Journal (Source: Medscape Today Headlines)
Source: Medscape Today Headlines - January 21, 2022 Category: Consumer Health News Tags: Cardiology Journal Article Source Type: news
A prospective observational study of electrocardiographic and echocardiographic changes in traumatic brain injury - effect of surgical decompression - Srinivasaiah B, Muthuchellappan R, Ganne Sesha UR.
BACKGROUND: Traumatic brain injury (TBI) causes significant changes in myocardial function, which is represented by ECG and echocardiographic changes. We intended to study the effect of surgical decompression on these changes. MATERIALS AND METHODS... (Source: SafetyLit)
Source: SafetyLit - January 16, 2022 Category: International Medicine & Public Health Tags: Economics of Injury and Safety, PTSD, Injury Outcomes Source Type: news
AliveCor Announces Strategic Additions to Executive Team
MOUNTAIN VIEW, Calif., Jan. 11, 2022 -- (Healthcare Sales & Marketing Network) -- AliveCor, the global leader in FDA-cleared personal electrocardiogram (ECG) technology, today announced the addition of four new leaders to the company's executive team: Vin... Devices, Monitoring, Personnel AliveCor, KardiaMobile, ECG (Source: HSMN NewsFeed)
Source: HSMN NewsFeed - January 11, 2022 Category: Pharmaceuticals Source Type: news
AI Model May Aid Screening for Acute Pulmonary Embolism
MONDAY, Jan. 3, 2022 -- A model integrating clinical data with electrocardiogram (ECG) waveforms may improve prediction of pulmonary embolism (PE), according to a study recently published in the European Heart Journal-Digital Health.
Sulaiman S.... (Source: Drugs.com - Pharma News)
Source: Drugs.com - Pharma News - January 3, 2022 Category: Pharmaceuticals Source Type: news
ECG-Based Algorithm Predicts Long-Term Survival After Cardiac Surgery
WEDNESDAY, Dec. 22, 2021 -- An electrocardiography-based artificial intelligence (AI) algorithm that predicts severe ventricular dysfunction can predict long-term mortality among patients undergoing valve and/or coronary bypass surgery, according to... (Source: Drugs.com - Pharma News)
Source: Drugs.com - Pharma News - December 22, 2021 Category: Pharmaceuticals Source Type: news
Interpreting Smartwatch and Implantable Loop Recorder Tracings Interpreting Smartwatch and Implantable Loop Recorder Tracings
These two case reports underscore the potential of misinterpretation of electrocardiographic rhythm findings transmitted by consumer-grade wearable devices.Circulation (Source: Medscape Today Headlines)
Source: Medscape Today Headlines - December 21, 2021 Category: Consumer Health News Tags: Cardiology Journal Article Source Type: news
Analysis of female drivers' ECG characteristics within the context of connected vehicles - Wang X, Guo Y, Chen C, Xia Y, Liu Y.
This study aims to analyze the differences of electrocardiograph (ECG) characteristics for female drivers in calm and anxious states during driving. DESIGN/METHODOLOGY/APPROACH The authors used various materials (e.g. visual materials, audi... (Source: SafetyLit)
Source: SafetyLit - December 6, 2021 Category: International Medicine & Public Health Tags: Engineering, Physics, Structural Soundness and Failure Source Type: news
COVID-19 Tied to a Wide Range of ECG Findings COVID-19 Tied to a Wide Range of ECG Findings
It ' s now clear that COVID-19 infection, while largely a respiratory illness, has a number of cardiac manifestations that include myocardial infarction, myocarditis and various patterns of changes observed on electrocardiograms.Reuters Health Information (Source: Medscape Critical Care Headlines)
Source: Medscape Critical Care Headlines - November 11, 2021 Category: Intensive Care Tags: Medscape Today News Source Type: news
End-of-life care program at UCLA benefited dying patients and loved ones despite COVID restrictions
A program offered by UCLA Health ’s intensive care units is providing meaningful and compassionate support for dying patients and their families, despite the challenges brought about by COVID-19. A study about the initiative, published in the journalCritical Care Explorations, is the first to show empirically that a palliative care program could be adapted — and even expanded — during the pandemic. It also could serve as a case study for improving end-of-life care during an era when visiting restrictions and infection control have introduced extraordinary new challenges for health care providers.Researchers analyzed...
Source: UCLA Newsroom: Health Sciences - October 18, 2021 Category: Universities & Medical Training Source Type: news
Deep Learning and the ECG: Review of the State-of-the-Art Deep Learning and the ECG: Review of the State-of-the-Art
This review aims to educate the clinician on the fundamental tenets of deep learning, and its current applications in electrocardiographic analysis. What are its current limitations?Europace (Source: Medscape Today Headlines)
Source: Medscape Today Headlines - October 5, 2021 Category: Consumer Health News Tags: Cardiology Journal Article Source Type: news
Study: EKG may predict life-threatening illness in hospitalized COVID-19 patients
Changes in heart function observed on electrocardiograms of patients hospitalized with COVID-19 or influenza can help predict a time frame for worsening health, a study says. (Source: Health News - UPI.com)
Source: Health News - UPI.com - September 24, 2021 Category: Consumer Health News Source Type: news
AI Using Electrocardiography: Strengths and Pitfalls AI Using Electrocardiography: Strengths and Pitfalls
A new deep learning model can identify patients with moderate or severe aortic stenosis using electrocardiography, but there are some disadvantages, according to this commentary.European Heart Journal (Source: Medscape Today Headlines)
Source: Medscape Today Headlines - September 8, 2021 Category: Consumer Health News Tags: Cardiology Journal Article Source Type: news
AI-Driven ECG for COVID-19 Rule-Out Has Mobile Potential AI-Driven ECG for COVID-19 Rule-Out Has Mobile Potential
The negative predictive value was 99% for ECGs assembled from patients around the world with a COVID-19 prevalence of 5%. It was still 90% when the simulated prevalence was raised to pandemic levels.Medscape Medical News (Source: Medscape Critical Care Headlines)
Source: Medscape Critical Care Headlines - July 9, 2021 Category: Intensive Care Tags: Cardiology News Source Type: news
Psychiatry Is Still Stuck in Freud ’s Era. Big Data Can Revolutionize How We Care for Patients
I have a problem. I am a psychiatrist in the 21st century and yet I still evaluate patients the way Freud did a century ago: I sit with a patient and, by carefully observing how and what they say, I expect them to tell me what’s wrong.
The problem isn’t that I speak with and listen to my patients. Every doctor of every speciality does that. Rather, my problem is that I never measure the data I think are most important to my treatment of psychiatric diseases.
Consider how I evaluate a patient for psychosis in the emergency room. When I speak with them, I want to know what their life is like—what’s th...
Source: TIME: Health - July 9, 2021 Category: Consumer Health News Authors: Daniel Barron Tags: Uncategorized Source Type: news
Mayo Clinic Q & amp;A podcast: Taking the fear out of cardiac testing
When it comes to the heart, it can be scary to seek care when you think you might be having a problem. Tests may be necessary to evaluate your heart, and the unfamiliar terminology associated with these tests can be confusing and intimidating. Understanding terms like electrocardiogram, echocardiogram, coronary angiogram or stress test may help alleviate the fear. "Whenever we order these tests, we don't want you to have anxiety," says Dr. Christopher DeSimone, a Mayo… (Source: News from Mayo Clinic)
Source: News from Mayo Clinic - July 2, 2021 Category: Databases & Libraries Source Type: news
