Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again

Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again

Dr. Eric Topol is the editor in chief of Medscape.  He is a Cardiologist and a Geneticist with an interest in how technology affects health. Artificial Intelligence  (AI) is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. AI has become the buzz word in medicine, computer science, and engineering. Machine learning, in artificial intelligence the discipline concerned with the implementation of computer software that can learn autonomously. In his latest book, ‘Deep Medicine’ Dr. Topol describes how medicine is broken today and how artificial intelligence can help make healthcare human again. Listen to this 5-minute video clip by Dr.

Digital Health

Digital Health

What is Digital Health? “Digital health, or the use of digital technologies for health, has become a salient field of practice for employing routine and innovative forms of information and communications technology (ICT) to address health needs. The term digital health is rooted in eHealth, which is defined as “the use of information and communications technology in support of health and health-related fields”. Mobile health (mHealth) is a subset of eHealth and is defined as “the use of mobile wireless technologies for health”. More recently, the term digital health was introduced as “a broad umbrella term encompassing eHealth (which includes

Phishing – stealing legitimate user credentials

Phishing – stealing legitimate user credentials

Phishing is a form of fraud in which an attacker masquerades as a reputable entity or person in email or other communication channels. The attacker uses phishing emails to distribute malicious links or attachments that can perform a variety of functions, including the extraction of login credentials or account information from victims. One common explanation for the term is that phishing is a homophone of fishing, and is so named because phishing scams use lures to catch unsuspecting victims, or fish. [LINK] Phishing attacks typically rely on social networking techniques applied to email or other electronic communication methods, including direct messages

New Cholesterol Guidelines Personalize Risk and Add Treatments – JAMA 2019 Feb 6

New Cholesterol Guidelines Personalize Risk and Add Treatments – JAMA 2019 Feb 6

In the new guidelines, statin treatment targets are back for both primary and secondary prevention. Patients whose 10-year risk of ASCVD is 20% or more should try to reduce LDL-C levels by at least 50%, the same goal as for people with clinical ASCVD. Those with more intermediate risk should aim for at least a 30% decrease. The new update was met with considerably less controversy than the last incarnation, which deemphasized LDL-C treatment targets and introduced the AHA/ACC ASCVD risk calculator. The updated guidelines and a companion AHA/ACC special report on risk assessment tools acknowledge that the calculator estimates risk for an average

Using AI to catch irregular heartbeats and to detect cervical cancer – NIH, USA

Using AI to catch irregular heartbeats and to detect cervical cancer – NIH, USA

An arrhythmia is a problem with the rate or rhythm of the heartbeat. During an arrhythmia, the heart can beat too fast, too slowly, or with an irregular rhythm. When a heart beats too fast, the condition is called tachycardia. When a heart beats too slowly, the condition is called bradycardia. The most common test used to diagnose an arrhythmia is an electrocardiogram (EKG or ECG). [Ref] “Thanks to advances in wearable health technologies, it’s now possible for people to monitor their heart rhythms at home for days, weeks, or even months via wireless electrocardiogram (EKG) patches. In fact, my Apple Watch