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humans, especially when patient safety is involved.

FUTURE PROSPECTS
The future of medicine is increasingly focused on precision medicine, and precision can only be achieved
with large amounts of data and comparator material. The vast datasets generated by AI enable this precision
[52]
to be achieved quickly and efficiently . Today’s systems are still very simple and are not yet capable of
performing complex surgical procedures autonomously. However, as the technology develops, significant
advances in autonomy and AI capabilities will become apparent. The recovery time for patients will be
reduced as the efficiency and effectiveness of the surgical procedure will be increased, primarily by reducing
the operating time. In addition, this progress opens up the possibility of providing better care for patients in
underserved medical areas where surgeons and resources are scarce. The use of robots in the military sector
is also conceivable, as surgical procedures often take place far from medical infrastructure. Rapidly
[53]
deployable robots can save both time and human resources in these situations .
At a time when medical care is expensive and not widely available, but smartphones are ubiquitous, AI is
increasingly enabling telemedicine. For example, photos and apps can be used to quickly and easily assess
injuries and medical conditions. This saves time and money and makes patient care easier. Patient
compliance decreases dramatically with the distance between the healthcare facility and the patient’s home,
[15]
so telemedicine could support compliance .

However, there is a critical need for training and education in the application of AI in healthcare, both for
general use and for implementation in specialized contexts. Investment in human resources and financial
support is essential for acquiring equipment and training surgeons, because the effectiveness of any new
technique depends on the surgeon’s ability to master it.

CONCLUSION
AI has shown significant promise in revolutionizing the field of plastic and reconstructive surgery. This
paper offers a brief glimpse of the future. At the forefront is the need to improve the well-being of patients
and the working conditions of healthcare professionals. This can only be achieved by increasing
[54]
efficiency .

AI can support the efficient use of time through more accurate planning, greater precision, and statistically
validated results. However, it is not just time management that will be optimized, but also the precision of
the surgical work. Robot-assisted surgery supports new possibilities. Diseases associated with poor
outcomes may now be successfully treated thanks to the latest AI-driven technology. AI enhances
diagnostic analysis, offering precise 3D models and simulations that improve surgical outcomes and patient
satisfaction [10,48] .

However, integrating AI into clinical practice presents several challenges. Ensuring data privacy,
overcoming current AI algorithm limitations, and addressing ethical concerns are vital. Establishing
standardized protocols and conducting robust clinical trials to validate AI applications are crucial for wider
acceptance and implementation . These applications do not replace patient care provided by doctors;
[51]
instead, they serve as adjuncts to optimize safety. It is the questions of ethics, data security, regulatory and
legal judgment, or rather the answers to them, that will determine the successful integration of AI into
everyday hospital practice .
[49]