Key factors influencing advancements of AI in healthcare and life sciences

While there are multiple factors that influence advances in AI, here are some of the key factors that are having a direct impact on the healthcare and life sciences industry. Let’s take a closer look at them.

Availability of multimodal data

One key dependency for any AI algorithm is the availability and access to high-quality labeled datasets. An algorithm that doesn’t get exposed to enough real-world data points cannot be expected to predict true values in all scenarios. This affects the generalizability of the models and may make them biased and unfair. However, the open sharing of healthcare data is prohibited. This data contains the protected health information (PHI) of patients and is bound by multiple privacy and security regulations. Moreover, datasets that represent only a single modality can be constrained in the amount of information that they can capture or pass to the ML model...