Abstract:
Healthcare needs AI because it needs the human touch, meaning that healthcare can benefit greatly from the combination of AI technologies and human expertise and empathy. AI in healthcare has the potential to automate routine and mundane tasks, which can free up valuable time. Artificial Intelligence (AI) allows healthcare providers to spend more time building relationships with patients and delivering the human touch that is essential in healthcare.
Which also is often the most rewarding and impactful part of their work. Do you agree?
However, we are still in the nascent stages of AI development, and its potential to redefine healthcare is immense. The current applications of AI in medicine primarily focus on defined tasks, utilizing a single data modality such as a computed tomography scan or an x-ray. In contrast, in the clinical field, healthcare professionals interact with various data sources and modalities to arrive at diagnostic conclusions, make prognostic evaluations, and create treatment plans. This process is dynamic, with ongoing data continually shaping clinical decisions over time.
Looking ahead, the emergence of multimodal medical AI presents as a significant factor, unlocking new possibilities in healthcare and precision care. This emerging AI paradigm aims to emulate the multifaceted data analysis conducted by clinicians by integrating diverse data modalities and sources.
Learning Objectives:
- Discuss interesting facts about global healthcare problems and challenges.
- Demonstrate AI use cases and examples focused on Healthcare outcomes.
- Showcase ways for professional development towards and AI-powered future at clinical workplaces.
