Two chronic illnesses—heart disease and diabetes—cost the United States billions of dollars annually, yet the advancement of new technology and analytics have the potential to cut ‘costly and unnecessary’ hospitalizations, while simultaneously improving patient care and outcomes.
A team of researchers at Stanford have recently trained a computer to identify images of skin cancer moles and lesions—as accurately as board-certified dermatologists.
The use of artificial intelligence and machine learning is altering the face of medicine, with the potential to help improve overall medical diagnosis in an enormous way.
Virtual reality (VR) refers to computer technologies that utilize virtual reality headsets to generate realistic images and sensations—with the goal of replicating a real environment, or creating an imaginary setting. A research article describes VR as an “immersive, interactive experience generated by a computer.”
While the field of technology is incontrovertibly experiencing rapid progression, recent publications regarding electronic reporting demonstrate that there is still room for significant development and growth.
Data has confirmed that capturing real-time reports of cancer patients’ symptoms between physician visit has concrete, tangible health benefits—yet cancer researchers have expressed that technological and financial barriers hinder doctors from a widespread adoption of the practice.
Diabetic eye disease, formally known as Diabetic Retinopathy, is a complication resulting from diabetes that affects the eyes. Caused by damage to the blood vessels of the retina—the light-sensitive tissue found at the back of the eye—diabetic retinopathy can ultimately lead to irreversible blindness. Statistics reveal that the disease will affect up to 80% of those who have had diabetes for over two decades.
The wave of healthcare technology is surging into view, akin to a tsunami: as it rapidly rushes towards the landscape of medicine, the cost of tools are dropping at the same rate that options are growing.
At the Cleveland Clinic’s annual Medical Innovations Summit last week, Daniel Kraft—an oncologist, and chair of medicine and neuroscience at Singularity University—asked his audience a critical question: are the right platforms and infrastructure in place to catch the proverbial ‘wave’?