A newly published review of evidence and data has indicated that virtual reality (VR) holds potential for rehabilitation of Parkinson’s disease, the neurodegenerative disorder that has historically been managed by a combination of medication and physiotherapy. Virtual reality technology has been proposed as a new and inventive rehabilitation tool, one that can potentially optimize motor learning and replicate real-life scenarios in order to improve functional activities.
MedTech Impact is excited to announce a new workshop: “CMO School: How to Become a Medical Advisor,” developed, designed, and presented by Arlen Meyers, MD, MBA. As President and CEO of the Society of Physician Entrepreneurs, in addition to professor emeritus at the University of Colorado School of Medicine and the Colorado School of Public Health, Modern Healthcare named Dr. Meyers one of the ‘50 Most Influential Physician Executives’ of 2011, with subsequent nominations in both 2012 and 2013.
Statistics indicate that 140 people die each day from drug overdoses in the United States—most of them linked to opioids and painkillers. Due to the increasingly severe public health crisis, companies are now manufacturing new devices to replace addictive painkillers, and innovators are looking to technology for groundbreaking, inventive ways to tackle the increasingly critical opioid crisis.
A team of researchers at the Massachusetts Institute of Technology have founded Biobot Labs, merging a research collaboration between the departments of biological engineering and urban studies and planning. The ultimate goal was to design technology that “analyzes human waste flowing through the sewers at various points throughout the system,” and to test the wastewater systems for metabolized traces of various substances in order to isolate the places with the highest concentrations of opioid—or any drug—users. Co-founder and CEO of Biobot Labs Newsha Ghaeli has stated that the goal is to shift data collection away from overdose and death, and instead focus on overdose prevention and early detection.
A recent study at the 2016 Clinical Congress of the American College of Surgeons confirms the burgeoning theory that wearable health technology, an innovation that has progressively gained traction in medical and consumer arenas, can positively affect healthcare and patients’ wellness. Moreover, researchers have found that data from smartwatches have the capabilities to both detect—and even predict—the onset of disease.
Because a large segment of the population utilizes smartwatches, an enormous amount of data and metrics portray a more comprehensive overview of health, as opposed to a solitary visit to the doctor. Researchers from Stanford University conducted a study during which they gave participants smartwatches, and subsequently analyzed almost a year of the data. Measurements included skin temperature, heart rate, and data collected from sleep.
Extensive research and data indicate that Virtual and Augmented Reality have the potential to change the face of medical technology: more importantly, the ways in which medical device designers operate, innovative, and create.
Yet the technologies have inevitable hurdles to overcome, despite the enormous progresses and successes in the past decade. While patients are incontrovertibly benefiting from the experience of virtual reality in certain areas, experts agree that in order for AR and VR to “disrupt” medical technology, the intrinsic challenges must be explained, understood, and faced.
The rapidly growing field of Artificial Intelligence (AI)—a field of computer science that seeks to perform and directly mimic tasks that generally require human intelligence—has developed a series of techniques that have been applied in cardiovascular medicine.
Because we each have an inherently unique ‘odorprint’—thousands of organic compounds that reveal age, genetics, lifestyle, and hometown, and even the metabolic processes that underlie our health—researchers have been attempting to build an inexpensive odor sensor for “quick, reliable, and noninvasive diagnoses.”
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.