Advances and Future Prospects of AI Integration in Precision Health

Abstract

AI in the space of precision health, which is about customized healthcare attempts for a
person based on his or her unique properties has revealed a disruption. In this paper, we
investigate the recent developments and challenges in using AI technologies for precision
health applications to offer a glance on how healthcare delivery is transitioning. AI
innovations have driven improvements in precision health by enhancing diagnostics, the
selection of treatment and monitoring a disease. Employed as computational agents, machine
learning algorithms are able to analyze sophisticated biological and clinical data using
extensive datasets which results in the recognition of regularities and prognosis great deal
better than human experts. AI-powered image analysis is another one of such examples, with
advanced medical imaging interpretation helping detect deadly diseases like cancer early.
Additionally, application of AI behavior in genomic analysis can unveil complex genetic
modifications which may lead to individualized treatment techniques. Until recently, these
advantages notwithstanding, a number of roadblocks were present in the seamless
incorporation of AI into precision health. One needs to be aware of concerns related with
privacy, interoperability challenges and ethical issues surrounding decision making by AI.
Building Trust: Reliability and Interpretability of AI algorithms are Key for Healthcare
Providers and Patients Moreover, AI incorporated into clinical workflows requires a
fundamental reorganization of healthcare systems and infrastructure leading to significant
hurdles in implementation.These AI-driven predictive models could facilitate early symptoms
detection and preemptive disease management, optimizing treatment strategies for individual
patients and hence would help improve patient clinical outcomes in the long run.
Additionally, AI combined with other nascent disruptive technologies (including blockchain
and Internet of Medical Things [IoMT]) may transform health care delivery through secure
data sharing and remote real-time monitoring.