5 ways AI in healthcare will transform in 2024
Five predictions for AI in healthcare in 2024
Five predictions for AI in healthcare in 2024
Dr Anthony Chang's predictions for artificial intelligence in health and medicine for 2024
A groundbreaking international meeting focused on the integration of AI into medical education, highlighting the Chinese University of Hong Kong at Shenzhen's innovative AI-driven curriculum and the growing global interest in AI education for healthcare professionals
Reasons why AI, despite its potential, has faced challenges in healthcare adoption and solutions for overcoming these hurdles.
Ai-Med poster abstract competition opens for submissions offering the opportunity to present innovative ideas on how AI can transform the future of healthcare delivery
Large language models (LLMs) like ChatGPT have the potential to revolutionize healthcare communications, but they need to be carefully regulated to ensure patient safety.
Following on from last week's piece, about possible strategies for education in AI, part two discusses further stages of healthcare education and training.
While much attention has been focused on AI's role in disease detection, there are numerous other opportunities to leverage AI throughout the radiology workflow, from image ordering and scheduling to reading and reporting.
The growing interest in AI education for healthcare professionals is fueling new approaches to teaching AI, given the recent advances in AI tools that do not require programming.