Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. You likely brush your teeth every night -- but you may not realize how important it is to wash your face before going to bed every night, too. To learn more about why face-washing should be on your bedtime to-do list, Fox News Digital asked two dermatologists for the clean truth. When you look in the mirror, you likely don't see the buildup of substances on your face from that day.

Whether you realize it or not, artificial intelligence is a driving force in the beauty industry at the moment. Utilizing machine learning, brands are able to not only recommend products to customers but also track how those products are working. However, nowhere is the tech more viable than at the dermatologist's office, where it could prove to be a powerful diagnostic tool in the hands of experts (and okay, maybe on a Snapchat filter that turns you into an 85-year-old version of yourself, too). Before we dive into the possibilities that artificial intelligence could have for derms, it's first important to understand what it is. For some time, algorithms--the most basic form of A.I.--have made it possible for brands to offer "customized" products for your skin's needs.

Skin conditions affect an estimated 1.9 billion people worldwide. A shortage of dermatologists causes long wait times and leads patients to seek dermatologic care from general practitioners. However, the diagnostic accuracy of general practitioners has been reported to be only 0.24-0.70 In this paper, we developed a deep learning system (DLS) to provide a differential diagnosis of skin conditions for clinical cases (skin photographs and associated medical histories). The DLS distinguishes between 26 skin conditions that represent roughly 80 volume of skin conditions seen in primary care.

Skin conditions are among the most common kind of ailment globally, just behind colds, fatigue, and headaches. In fact, it's estimated that 25% of all treatments provided to patients around the world are for skin conditions and that up to 37% of patients seen in the clinic have at least one skin complaint. The enormous case workload and a global shortage of dermatologists have forced sufferers to seek out general practitioners, who tend to be less accurate than specialists when it comes to identifying conditions. This trend motivated researchers at Google to investigate an AI system capable of spotting the most common dermatological disorders seen in primary care. In a paper ("A Deep Learning System for Differential Diagnosis of Skin Diseases") and accompanying blog post, they report that it achieves accuracy across 26 skin conditions when presented with images and metadata about a patient case, and they claim that it's on par with U.S. board-certified dermatologists.

Medical imaging based screening techniques have long been used for the early detection of cancer and the scientific community considers that they play a major role in the reduction in mortality for certain cancer types. Advantages of medical imaging include minimal or no invasiveness, access to internal body organs without tissue destruction and functionality over wide ranges of time and size scales of biological and pathological processes. Medical imaging actually plays an important role in many other cancer management phases, such as biopsy guidance, staging, prognosis and therapy planning. Some of the widely used techniques are: ultrasound, projection radiography (X-ray), fluoroscopy, magnetic resonance imaging (MRI), nuclear medicine functional imaging techniques (positron emission tomography, single-photon emission computed tomography, scintigraphy), X-ray computed tomography (CT). Emerging imaging techniques, still to be validated for use in clinical practice, try to differentiate between healthy and unhealthy organ tissue by examining properties such as elasticity (elastography), pressure (tactile imaging) or optical absorption (photoacoustic imaging).

It's scary enough making a doctor's appointment to see if a strange mole could be cancerous. Imagine, then, that you were in that situation while also living far away from the nearest doctor, unable to take time off work and unsure you had the money to cover the cost of the visit. In a scenario like this, an option to receive a diagnosis through your smartphone could be lifesaving. A dermatologist uses a dermatoscope, a type of handheld microscope, to look at skin. Computer scientists at Stanford have created an artificially intelligent diagnosis algorithm for skin cancer that matched the performance of board-certified dermatologists.

It's scary enough making a doctor's appointment to see if a strange mole could be cancerous. Imagine, then, that you were in that situation while also living far away from the nearest doctor, unable to take time off work and unsure you had the money to cover the cost of the visit. In a scenario like this, an option to receive a diagnosis through your smartphone could be lifesaving. A dermatologist uses a dermatoscope, a type of handheld microscope, to look at skin. Computer scientists at Stanford have created an artificially intelligent diagnosis algorithm for skin cancer that matched the performance of board-certified dermatologists.