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Deep learning matches the performance of dermatologists at skin cancer classification

A research paper published by Stanford in Nature shows the Artificial Intelligence model trained to classify images of skin lesions as benign lesions or malignant skin cancers achieves the accuracy of board-certified dermatologists.

Benign and malignant skin lesions can be separated to a certain extent by looking at the margin, texture and color of lesions in skin by a dermatologist. Skin cancers such as melanoma is one of the most common neoplasm of skin, but in the meantime it also has a higher 5 year survival rate if detected earlier.

They pretrained a deep neural network at general object recognition, then fine-tune it on a dataset of ~130,000 skin lesion images comprised of over 2000 diseases to obtain the result.

This is  a proof that Artificial Intelligence is going to redefine medicine.

Check the lesion on your skin

This is a test version. Please consult your dermatologist before checking this out. Model prepared by Han ([email protected])

AI outperforms cardiologists in diagnosing arrhythmias from ECG

Artificial Intelligence researchers from Stanford AI lab developed a deep neural network which can diagnose irregular heart rhythms, also known as arrhythmias, from single-lead ECG signals at a high diagnostic performance similar to that of cardiologists.

An ECG (electrocardiogram) provides the information about heart rate and it's rhythm, and shows if there is enlargement of the heart due to high blood pressure (hypertension) or evidence of a previous heart attack (myocardial infarction).

The term "arrhythmia" refers to any change from the normal sequence of electrical impulses. The electrical impulses may happen too fast, too slowly, or erratically – causing the heart to beat too fast, too slowly, or erratically  . It is one of the most common cause of sudden death.

In a study published in Nature Medicine, they developed a deep neural network to classify 10 arrhythmias as well as sinus rhythm and noise from a single-lead ECG signal, and …

AI predicts who would benefit from high blood pressure treatment

High blood pressure(hypertension) is a common disease in which blood flows through blood vessels, or arteries, at higher than normal pressures. i.e. systolic blood pressure is consistently higher than 140 mmHg and diastolic blood pressure is consistently higher than 90 mmHg.  Hereditary, obesity, sedentary lifestyle, increased salt intake, etc are some of the known risk factors of high blood pressure.

Having high blood pressure puts you at risk for heart disease and stroke, which are leading causes of death worldwide. High blood pressure usually does not have any symptoms untill the complications occur. The complications of high blood pressure is usually fatal and disabling.

For most people with high blood pressure, a doctor will develop a treatment plan that may include heart-healthy lifestyle changes alone or with medicines. Heart-healthy lifestyle changes, such as heart-healthy eating, can be highly effective in treating high blood pressure. The absolute risk reduction (ARR) in ca…

AI replaces radiologist doctors on diagnosing pneumonia

A group of Artificial Intelligence researchers at Stanford AI Lab used Deep Learning to create an algorithm that can detect pneumonia from chest X-rays at a level exceeding practicing radiologists.

An x-ray (radiograph) is a noninvasive medical test that helps physicians diagnose and treat medical conditions. A chest x-ray is an x-ray of the chest showing the shadows of lungs, heart, large arteries, ribs, diaphragm, etc. 

They trained their Deep Learning (AI) algorithm, named CheXNet, using the dataset provided by National Institutes of Health, which contained 112,120 frontal-view X-ray images of 30,805 unique patients, annotated with up to 14 different diseases of the lungs. CheXNet is a convolutional neural network. A convolutional neural network is a type of Deep Learning algorithm which is used to detect and classify images such as photo tagging, face detection, etc.

Their algorithm is a Deep Learning model which inputs a chest X-ray image and outputs the probability of pneumonia a…

The best way to deal with depression and anxiety

Depression and anxiety are way more common than you think. Depression cripples you whereas anxiety incapacitates you. Depression is more than just a low mood – it's a serious condition that affects your physical and mental health.

Feeling sad is common. But if you have persistent low mood and lack of interest in otherwise pleasurable activities you might have the symptoms of the depressive disorder. Depression, anxiety disorders, and other mental disorders are getting more common these days.

Stats clearly indicate that mental disorders have become an epidemic. But unfortunately, only a small portion of the depressed people actually go to a licensed practitioner and complete the therapy. Often times a person in depression doesn't have enough energy and motivation to see a physician. The person is so drenched in their feelings, that they are overwhelmed with sadness. Most of the time, a person hides his feelings and is afraid of opening up. The consequences of living with any f…

The perfect Annapurna Base Camp trek route for slow trekkers

Annapurna Base Camp is a must trek for anyone who gets awestruck by magnificent mountains. The Annapurna Base Camp Trek is a journey with the gorgeous views and sights of the mighty Annapurna massif and its many neighboring peaks. From the very beginning of the trek from Pokhara, prominent mountain peaks like the Machhapuchhre and the Nilgiri along with the massif of the Annapurna Himal grace the distant skyline in a spectacular fashion.  The eight thousand plus meters Annapurna is worth watching in itself. The Annapurna Base Came trek route varies according to your fitness level as well as your no of days you're planning to spend. But it's wise to ascend slowly to get acclimatized. Slow ascend and acclimatization with high altitude will prevent you from Acute Mountain Sickness.
Annapurna Base Camp trek falls in the moderate category. If the weather is favorable you can take children as well. One thing to consider is always traveling in groups, as you may need help time and a…