Artificial intelligence has numerous practical applications in diagnostic imaging; the key to making them work for clinicians and patients lies in developing and embracing integrated workflow networks.
Improving clinical trial equity can help close the gap between the challenges to enroll and retain patients in clinical trials and the growing burden of diseases. All in all, there are immense benefits to creating and providing remote technologies for clinical trial participants.
Remote care in the home relies both on the quality of patient monitoring and on the insights provided to the care team. There is a real danger that data overload and alert fatigue will undermine otherwise well-designed remote patient monitoring (RPM) and Hospital at Home programs. The software platform and algorithms tasked with integrating and evaluating data must identify the data that matters, when it matters.
The revised cybersecurity draft publication is not intended to be a checklist for healthcare organizations to follow, but rather a guide to help them comply with the HIPAA Security Rule.
Is technology replacing the human element in hospitals and clinics, or enhancing it? In this AAMI Research Review, a pair of newly published studies exemplify how accounting for the humans that use a technology can enhance its effectiveness… and vice versa.
The growing availability of 5G networks is speeding the adoption of IoMT and allowing for new innovations, including drone delivery of medical supplies to rural areas, better surgical collaboration and 3D holograms for diagnoses and surgical planning.
The two new members bring more than 40 years of leadership and IT experience to the HUMA.AI advisory boards, following a recent round of funding and the introduction of new post-market surveillance technologies.
Next-generation, predictive analytic patient monitoring lowers healthcare costs, improves clinical outcomes and enhances the patient experience in hospital-at-home, post-acute care and chronic care management.
The committee will be discussing skin lesion analyzer technology and its application in detecting skin cancers in various patient care settings as well as the potential reclassification of approved computer-aided melanoma detection class III devices.
John Mastrototaro, Ph.D., biomedical engineer and CEO of Movano discusses strategies to improve data accuracy, the convergence of consumer wearables and medical remote monitoring devices and what healthcare providers are seeking in remote data delivery.
