AI in Healthcare & Hospital Management Web Series 2022
活动举办者 SK Global Events
2022 年 8 月 16 日 – 2022 年 8 月 19 日线上活动
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参与AI in Healthcare & Hospital Management Web Series 2022体验活动简介
AI is a field of science, which combines computer science and robust datasets, to enable problem-solving. It makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks.
AI solutions have the potential to help improve outcomes in healthcare by guiding informed decisions at critical steps of the patient journey. This event will primarily focus on the Healthcare Providers, attracting healthcare c- suite executives and Informatics Heads from leading hospitals who will assess the business value outcomes of AI and share experiences of implementation in hospital operations.
Leading AI companies and eminent speakers from different countries are welcome to join this Series. As an attendee, one gets to understand the broader picture on How AI in Transforming the Healthcare and How AI is playing a Key role in the Modern Healthcare and Hospital Management, AI in Disease Diagnosis, AI In Medical Imaging, How AI is used in Surgery and Patient Safety and many other topics.
Important Dates:
1. Abstract Submissions Deadline: April 12th, 2022
2. Sponsorship Closes: 19th April, 2022
Topics/Sessions:
Accelerating the Safe Adoption of AI in Health and Care
AI in Medical Speech Recognition
Deep Learning for Clinical Natural Language Processing
Potential of Artificial Intelligence for population health
Ethical challenges in healthcare AI.
AI in Hospital Revenue Cycle Management
Machine Learning in Healthcare
How AI and Advanced Analytics find fraud, Waste & Abuse in healthcare
AI to optimize Patient Safety
Emerging Business Models for AI within Healthcare
AI in Disease Diagnosis and Medical Imaging
Building Better Medical AI for Clinical Deployment
AI for Patient Data Management and Privacy
AI for predictive and preventative care
AI in Healthcare R&D
Healthcare Automation with Robotics
Evaluation & implementation of AI for patient-centric cancer care
Choosing the right EHR (Electronic Health Records)
Target Audience:
1. CEO, CIO, COO, CTO, CMIO
2. Presidents and Vice Presidents
3. AI - Director, Managers
4. Digital Health Specialists
5. Digital Innovation Officers
6. Head of Healthcare IT and Security
7. Hospital Department Heads
8. Head of eHealth (managers, directors) and mHealth
9. Clinical Informatics – Director, Managers
10. Laboratory Heads
11. Cloud Storage Managers
12. Operations Managers
13. Healthcare R&D Managers
14. ML Managers / Specialists
15. Data Scientists
16. Health Tech Entrepreneurs
17. Logistics Managers
18. Head of Cloud Computing and Networking
19. Digital Health Transformation Heads
20. Head of Medical Informatics
21. Specialists in Medical Technology
22. Healthcare and Hospital IT Admins
23. Registered Nurses
24. Senior Doctors