Tel-Aviv based start-up Aidoc, a leading provider of Artificial Intelligence solutions for radiologists, received US Food and Drug Administration (FDA) clearance for its AI solution that spots strokes (Large-Vessel Occlusion) in the brain during head CTA scans.An LVO is the blockage of vessels in the brain, and according to Ariella Shoham, Aidoc's vice president of marketing, the AI technology "uses deep learning to automatically look at every head CT before a patient has even left the imaging room. "It investigates the images to see if they show blocked blood vessels in the brain or bleeding (intracranial hemorrhages)," she explained. "If one of these time-critical conditions is found, Aidoc re-prioritizes the worklists of radiologists so that the urgent scan is looked at immediately and the patient can be treated quickly."Shoham said that Aidoc already received FDA clearances to identify and flag pulmonary embolism (blockages in the lungs) and cervical spine fractures (broken neck). "Other Aidoc solutions currently in clinical testing include identifying air in the abdomen," she continued. "Altogether, Aidoc is targeting the most common critical life-threatening conditions that make up 80% of all urgent cases on CT scans.

After languishing for years, enterprise imaging appears ready to enter the mainstream of health care. At least a small part of that may involve the use of artificial intelligence (AI) to make the transmission, storage, display and analysis of the many different types of images easier and more efficient. At RSNA 2019, GE Healthcare addressed the crossover of AI and enterprise imaging with the latest version of its AI-enabled Centricity Universal Viewer. Version 7 "consumes" and displays AI findings revealed by the Centricity PACS, said Veena Haravu, Senior Product Manager for Centricity PACS at GE Healthcare. This Version 7, which is pending FDA clearance, is integrated with the company's Edison Open AI Orchestrator to display the results of smart algorithms embedded in it.

The global IoT healthcare market is expected to grow at a CAGR of 29.9% to reach $322.2 billion by 2025. This can be attributed to the fact that this technology has tremendous potential to transform healthcare operations and efficiencies, including patient care and operational workflows. While it is still at a developing stage, and may have its fair share of obstacles, it is revolutionizing the entire healthcare industry in many ways. Virtual assistants are commonplace in our everyday life with Siri, Alexa, Google Home being the forerunners. The same technology i.e., conversation-based assistance using AI is also used in the healthcare sector for increasing patient engagement.

MedWand is the closest thing we seen so far to a Tricorder. The scanner combines a stethoscope, thermometer, electrocardiogram and more in a small hand-held device. There's no need to explain to fans of Star-Trek what a Tricorder is. They'll have head of it. Multiple versions appear in the Sci-Fi movie including one that is used to help diagnose diseases and collect bodily information about a patient.

Health products powered by artificial intelligence, or AI, are streaming into our lives, from virtual doctor apps to wearable sensors and drugstore chatbots. IBM boasted that its AI could "outthink cancer." Others say computer systems that read X-rays will make radiologists obsolete. "There's nothing that I've seen in my 30-plus years studying medicine that could be as impactful and transformative" as AI, said Dr. Eric Topol, a cardiologist and executive vice president of Scripps Research in La Jolla, Calif. AI can help doctors interpret MRIs of the heart, CT scans of the head and photographs of the back of the eye, and could potentially take over many mundane medical chores, freeing doctors to spend more time talking to patients, Topol said. Even the Food and Drug Administration--which has approved more than 40 AI products in the past five years--says "the potential of digital health is nothing short of revolutionary."

Health products powered by artificial intelligence, or AI, are streaming into our lives, from virtual doctor apps to wearable sensors and drugstore chatbots. IBM boasted that its AI could "outthink cancer." Others say computer systems that read X-rays will make radiologists obsolete. "There's nothing that I've seen in my 30-plus years studying medicine that could be as impactful and transformative" as AI, said Dr. Eric Topol, a cardiologist and executive vice president of Scripps Research in La Jolla, Calif. AI can help doctors interpret MRIs of the heart, CT scans of the head and photographs of the back of the eye, and could potentially take over many mundane medical chores, freeing doctors to spend more time talking to patients, Topol said. Even the Food and Drug Administration which has approved more than 40 AI products in the past five years says "the potential of digital health is nothing short of revolutionary."

In the year just past, Alzheimer's researchers, families, and stakeholders felt renewed hope that new treatments might be within grasp. While the Lazarus story of aducanumab may or may not be enough for FDA approval this year, data from its Phase 3 program solidified a broader signal across four different anti-amyloid antibodies that amyloid can be removed from the brain and that maybe--just maybe--this will also benefit cognition and function if given early at a sufficient dose. The prospect that the amyloid hypothesis is druggable, alone, was enough to re-energize the field. The hope that further trials to define the best doses, patient groups, and treatment regimens will eventually pay off was cause for even more enthusiasm. A boost in funding announced as the U.S. Congress headed for its holiday break also gave cause for celebration going into 2020, though the funding picture is less rosy in other countries. The NIH budget for AD research now stands at $2.8 billion, a $350 million ...

Health products powered by artificial intelligence are streaming into our lives, from virtual doctor apps to wearable sensors and drugstore chatbots. IBM boasted that its AI could "outthink cancer." Others say computer systems that read X-rays will make radiologists obsolete. AI can help doctors interpret MRIs of the heart, CT scans of the head and photographs of the back of the eye, and could potentially take over many mundane medical chores, freeing doctors to spend more time talking to patients, said Dr. Eric Topol, a cardiologist and executive vice president of Scripps Research in La Jolla. "There's nothing that I've seen in my 30-plus years studying medicine that could be as impactful and transformative" as AI, Topol said. Even the Food and Drug Administration ― which has approved more than 40 AI products in the last five years ― says "the potential of digital health is nothing short of revolutionary."

Health products powered by artificial intelligence are streaming into our lives, from virtual doctor apps to wearable sensors and drugstore chatbots. IBM boasted that its AI could "outthink cancer." Others say computer systems that read X-rays will make radiologists obsolete. AI can help doctors interpret MRIs of the heart, CT scans of the head and photographs of the back of the eye, and could potentially take over many mundane medical chores, freeing doctors to spend more time talking to patients, said Dr. Eric Topol, a cardiologist and executive vice president of Scripps Research in La Jolla. "There's nothing that I've seen in my 30-plus years studying medicine that could be as impactful and transformative" as AI, Topol said.

Google's artificial intelligence system can identify breast cancer more accurately than radiologists, according to a study published in Nature on Wednesday. The model, created in collaboration with cancer researchers and Google Health, was trained on X-ray images, known as digital mammography, from women in the U.K. and U.S. to spot signs of breast cancer in the scans. Researchers used mammograms from 76,000 women in the U.K. and more than 15,000 women in the U.S., according to Google Health. Shravya Shetty, technical lead at Google Health who co-authored the study, said the results "exceeded expectations" and revealed possibilities that the AI could assist in workload reduction by being employed as a second reader with breast cancer screenings. Researchers noted that the model received less information than human experts, only processing the most recent of an anonymized mammogram.