In recent years, the exploration and uptake of digital health technologies have advanced rapidly with a real potential impact to revolutionise healthcare delivery and associ- ated industries. Advancements include options for remote assessment and consultation (telemedicine) that enable patients to engage with healthcare professionals and clinicians without travelling into clinics and hospitals. Another development is the investigation of how pervasive technologies, such as wearables and mobile apps, can help track biomarkers, physical activities, and moods. Overall, these advancements in digital health technologies, which are underpinned by artificial intelligence and machine learning, have the potential to improve patient outcomes, reduce costs, and enhance the overall quality of care. In this context, the use of speech and language processing technologies in healthcare applications is an emerging field with great promise. Applications range from voice-based data entry, assessment and processing of, e.g., electronic health records, to the explorations of how biomarkers that are indicative of various pathologies can be robustly extracted and used for diagnostic support. As evidenced by the spread of topics covered in this Special Issue, speech and language processing technologies are now maturing at a rapid pace, necessitating a focused effort on translational research to make sure solutions are appropriate, meaningful, and accurate for all users in real-world settings.