Microsoft- MedTech Intelligence
- MedTech Intelligence Industry Survey Research Methodology
- Cybersecurity by Design: Building Traceable Execution Across the MedTech Lifecycle
- Reverse Engineering in Medical Device Design: When and Why It Makes Sense
- AI-Assisted Triage: Accelerating Post-Market Surveillance While Eliminating Reporting Blind Spots
- Sensors at the Edge: Powering Smarter Healthcare
- Medgadget
- medicaldeviceslegal
- JMIR
- Configurations of Quality Dimensions Associated With Researcher and Patient Ratings of HIV/AIDS Mobile Health Apps in China: Fuzzy-Set Qualitative Comparative Analysis
- Mobile AI-Assisted Oral Lesion Triage for Community Oral Cancer Screening: Prospective Field Evaluation Study
- Insights on Postimplementation and Delivery of Telemedicine in Remote Areas of Rajasthan: Qualitative Study
- Tablet-Based Neurocognitive Tests for Ugandan Adolescents Living With HIV: Cross-Sectional Validation Study
- Exploring College Students’ Compliance During a 60-Day Alcohol-Related Ecological Momentary Assessment Using Location- and Time-Based Questions: Prospective Observational Study
- How People Integrate Mental Health Apps Into Everyday Self-Care: Qualitative Study
- Stakeholder Perspectives on Digital Health Technologies in Poststroke Self-Management and Rehabilitation: Systematic Review Based on the NASSS Framework
- Gender-Affirming Voice Training Delivered by a Novel Mobile App: Mixed Methods Study
- Integration of Ecological Momentary Assessment and Intervention With Wearable-Based Digital Phenotypes to Treat Anxiety in Young Adults: Mixed Methods Experimental Study
- Correction: Perceptions of Adults Aged 50 Years and Older Regarding the Use of Wearable mHealth Technologies to Promote Physical Activity: Systematic Review and Meta-Ethnography