rationalisation 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 Artificial Intelligence (AI) in contemporary diagnostics
is conceptualised 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.
Even though AI in Healthcare has seen a lot of advancement, it still has come along with major ethical
and regulatory issues. Important remaining impediments to broad implementation are those relating to
algorithmic bias, data privacy, transparency and interpretability of decisions taken by AI. The study
underlines the importance of robust ethical frameworks, transparent AI algorithms and international
regulations for responsible AI implementation in the healthcare sector.
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-centred 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.
Keywords: Artificial Intelligence, Healthcare, Precision Medicine, AI in Surgery, Ethical AI,
Personalized Treatment, AI in Diagnostics, Future of AI in Healthcare.