A group of scientists and researchers working out of Johns Hopkins University, Aston University and the University of Rochester Medical Center have devised a high-tech medical app that is designed to make it easier for doctors and neurosurgeons to assess the severity of Parkinson's disease symptoms.
This app makes use of machine learning to empower patients to go about testing themselves as often as they want, and wherever they want. Patients can use the medical app to receive a customized symptom severity score, which they can then share with their doctor.
This medical app kills two birds with one stone, as it reduces the costs of diagnostic procedures, while also giving doctors the detailed information they need to devise the best possible course of action for Parkinson's disease patients.
What Makes This Trend Stand Out
- Machine Learning in Medical Apps
- The integration of machine learning in medical apps enables patients to assess their symptoms and share data with their doctors.
- Self-testing Medical Apps
- Medical apps that allow patients to test themselves for symptom severity offer convenience and reduce diagnostic costs.
- Customized Symptom Severity Scores
- Providing patients with customized symptom severity scores through medical apps helps doctors devise effective treatment plans.
Sectors Adopting This
- Healthcare Technology
- The healthcare technology industry can leverage machine learning to develop innovative medical apps for symptom assessment.
- Mobile Health
- Mobile health industry can benefit from the development of self-testing medical apps that empower patients in managing their health.
- Neurological Medicine
- The neurological medicine industry can explore the application of medical apps for Parkinson's disease symptom assessment and treatment planning.
