The integration of artificial intelligence (AI) and digital health technologies is fundamentally transforming the landscape of healthcare. AI's capabilities such as predictive analytics and risk assessment are pushing the boundaries of early disease detection and chronic condition management. Technologies such as generative AI contribute to revolutionizing medical documentation, enhancing patient communications, and enriching clinical training through personalized content creation. Concurrently, digital health advancements, including telemedicine, mobile health apps, and wearable technology, facilitate remote patient monitoring, support advanced home care, and promote personalized treatment approaches. These innovations are instrumental in enhancing healthcare accessibility, optimizing resource use, and promoting value-based healthcare outcomes.
This Research Topic aims to delve into the transformative impact of AI and digital health on healthcare delivery, emphasizing their potential to augment care efficiency and quality, alleviate administrative burdens, and mitigate healthcare access disparities. The goals are to understand how AI tools can better clinical outcomes and decision-making processes, examine generative AI's role in streamlining healthcare operations, and discuss how digital health can bridge gaps in service delivery. Additionally, this topic will explore the ethical, regulatory, and societal questions raised by AI integration in healthcare settings.
To offer a detailed exploration of this burgeoning field, the scope of this Research Topic will include:
• AI-driven innovations in clinical decision support, chronic disease management, and precision medicine.
• Utilization of generative AI in medical documentation, patient education, and administrative functions.
• Ethical, governance, and policy considerations of AI in healthcare.
• Evaluation of digital health tools' effectiveness in healthcare delivery.
• The expanding role of telemedicine and virtual care for improving health services.
As part of this Research Topic, we welcome contributions in the forms of original research, systematic reviews, case reports, and perspective pieces that address these areas. The aim is to cultivate a comprehensive dialogue that fosters innovative solutions and broadens understanding of AI and digital health's role in evolving healthcare practices.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Clinical Trial
Editorial
FAIR² Data
FAIR² DATA Direct Submission
General Commentary
Hypothesis and Theory
Methods
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Clinical Trial
Editorial
FAIR² Data
FAIR² DATA Direct Submission
General Commentary
Hypothesis and Theory
Methods
Mini Review
Opinion
Original Research
Perspective
Review
Study Protocol
Systematic Review
Technology and Code
Keywords: artificial intelligence, digital health, healthcare delivery, care efficiency, ethics
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
