About the Artificial Intelligence in Health Session
Artificial Intelligence (AI) has emerged as a transformative force in healthcare, revolutionizing diagnostics, treatment strategies, and patient care. Machine learning algorithms analyze vast datasets, enabling predictive analytics and personalized medicine tailored to individual patient needs. Applications of AI in healthcare include image recognition for diagnostics, improving efficiency and accuracy. Healthcare analytics and digital health technologies, driven by AI, enhance decision-making processes and streamline healthcare delivery. As AI continues to advance, its integration into healthcare systems holds the promise of improving overall outcomes, reducing errors, and optimizing resource utilization.
The integration of AI in health has transformative implications for the industry. Key aspects include diagnostic support, personalized medicine, predictive analytics, clinical decision support, virtual health assistants, remote monitoring, drug discovery and development, operational efficiency, natural language processing (NLP), and ethical considerations.
Topics Covered in Artificial Intelligence in Health
Predictive Analytics Models
Clinical Decision Support
Medical Image Recognition
Personalized Medicine Algorithms
Ethical AI Considerations
Featured Speakers — Artificial Intelligence in Health 2027
Speaker lineup for this track will be announced soon.
Browse all speakers →Recent Research Presented at Artificial Intelligence in Health Sessions
Selected abstracts from this track will be published here.
Related Scientific Sessions at Nursing 2027
Why Attend the Artificial Intelligence in Health Conference 2027
Earn CPD Credit
Sessions are CPD-accredited; certificates issued to every registered delegate within two weeks of the conference.
Present Your Research
Oral and poster slots for original Artificial Intelligence in Health work, reviewed by the scientific committee.
Network Globally
Meet nurse researchers, educators, and clinical leaders from around the world across three days.
Publish & Get Indexed
Accepted abstracts appear in the indexed conference proceedings with a citable DOI.
Learn from Keynotes
Plenary lectures from leading voices shaping Artificial Intelligence in Health research and practice.
Hybrid Flexibility
Attend in person in Singapore or join virtually — same programme, same certificate.
Join Nursing 2027 for the Artificial Intelligence in Health track
Oral and poster slots for your work — in person in Singapore or online. Not presenting? Attend as a delegate to learn from the field.
Artificial Intelligence in Health Conference 2027 — FAQs
What is the Artificial Intelligence in Health track at Nursing 2027?
The Artificial Intelligence in Health track is a dedicated stream within Nursing 2027 covering the latest research, clinical innovation, and best practice in Artificial Intelligence in Health. It brings together researchers, educators, and practitioners for oral presentations, posters, and discussion.
Who should attend the Artificial Intelligence in Health sessions?
Nurse researchers, advanced practice nurses, educators, doctoral students, and clinical leaders with an interest in Artificial Intelligence in Health are all welcome — whether presenting or attending.
Can I present my research in the Artificial Intelligence in Health track?
Yes. Submit an abstract for oral or poster presentation. All submissions are peer-reviewed by the scientific committee; accepted abstracts appear in the indexed proceedings.
Is virtual attendance available for Artificial Intelligence in Health sessions?
Yes. Nursing 2027 is a hybrid conference — attend the Artificial Intelligence in Health track in person in Singapore or join live online, with on-demand access afterward.
Join the Nursing 2027 delegation
Singapore · March 15–17, 2027· Hybrid · in-person & virtual
Attend without presenting.