AI in Healthcare: Transforming Medicine with Intelligence

Abstract

Artificial Intelligence (AI) is changing healthcare for the better, from diagnostics to precision medicine and the rationalization of treatment pathways.They are commonly based on traditional medical paradigms of generic therapy, manual diagnosis and subjective judgement, which also include delays, inefficiencies and human errors.Healthcare delivery systems enabled by AI / machine learning or deep learning/ big data analytics have the ability to improve clinical outcome and patient care as well as simplify handling healthcare operations.In this editorial contribution the importance of AI in contemporary diagnostics is conceptualizes through precision medicine, genomic analysis as well as surgeries performed with AI assistance.The capability of AI to evaluate comprehensive genomic datasets have resulted in individualized treatment regimens, based on an individual patients' genetic profile, medical history and live health data.AI-assisted laparoscopic surgery leads to increased accuracy, less healing time and decreased risks than traditional surgical methods.The paper even compares AI-based diagnostics systems against traditional methods proving the higher precision and efficiency in the detection and prognosis of diseases.Going forward, AI will provoke revolutionary changes in fields like precision medicine (personal genome interpretation for bigger numbers), predictive analytics and human-friendly AI.That being said, a good equilibrium is needed between tech innovations and humane patient-centered care.Conclusion a full review of the impact of AI on healthcare (challenges and future) was provided in this paper, which may offer physicians and policy makers a vision early of its future transforming capability for medicine.

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