The rate of disability accumulation varies across multiple sclerosis (MS) patients. Machine learning techniques may offer more powerful means to predict disease course in MS patients.
Digital treatments for youth with mental health problems: Developing good quality evidence takes time
The demand for digital mental health care is high, even more so since Covid-19. However, proper development and testing according to robust standards takes time, as we can show for the development of a digital psychological intervention for youth with OCD.
The nation’s pandemic response has been undermined by roadblocks in the digital systems meant to move patient records between hospitals, doctor’s offices, laboratories, and public health agencies. New policies can help address the gaps.
RCTs and variance in clinical outcomes and patient preferences
Towards the clinical integration of digital health metrics: a data-driven framework enabling their automated selection and validation
Evaluation of an augmented reality platform for austere surgical telementoring: a randomized controlled crossover study in cricothyroidotomies