In plastic surgery, AI has made many breakthroughs in diagnosis, pre-operative surgical design, treatment decisions, and patient management. Plastic surgeons must recognise AI’s potential development and limitations.
FREMONT, CA: The volume of clinical data, especially complicated information, is growing as a result of the quick development of big data. Artificial intelligence (AI) offers a solution to the problem that conventional data analysis techniques cannot fulfil the demand for data information mining. AI is rapidly being used in contemporary medicine. AI-driven algorithms facilitate in-depth analysis and offer tailored assistance to improve medical decision-making. AI has remarkably improved diagnosis, pre-operative surgical planning, treatment selection, and patient management in plastic surgery. Plastic surgeons must be aware of the potential and restrictions of artificial intelligence.
Using clinical data and patient analysis, doctors must quickly and complexly make decisions. Cognitive biases, personality factors, the emotions of the doctors, and even the environment might have an impact on the decisions about diagnosis and treatment. There is a certain amount of unpredictability, uncertainty, and error in any therapeutic decision-making process.
AI can support medical decision-making and reasoning, which lets it get over human behaviour's constraints. On the other hand, as information technology advanced, the amount of pre-and postoperative data that was acquired from each patient increased rapidly. Moreover, wearable sensors purchased off the shelf and patient-generated health data gather significant data. Big data refers to the digital information that has been stored. Manual independent analysis is insufficient when faced with the requirement to study and use massive data to address complicated healthcare problems. To effectively manage a significant volume of data, AI is essential.
Similar to other surgical specialities, plastic surgery heals diseases while also enhancing the aesthetic of the human body. Hence, preoperative consultations, diagnosis, therapeutic choices, postoperative patient evaluations, and follow-up can all benefit from the use of AI technologies. These features will help decrease medical errors, increase productivity, and cut down on resource waste.
A useful technology for evaluating and extracting data from massive amounts of data, particularly social media, is machine learning (ML). The two main issues before and after surgery are "eligibility for surgery" and "options to revise surgery." In a different study, AI performed an emotional analysis of social media jargon related to plastic surgery and discovered that patients are more emotionally engaged with the word "liposuction." It aids plastic doctors in promoting plastic surgery from the standpoint of economically motivated emotional decision-making. Surgeons may more accurately identify and address potential patient issues, communicate with accurate information, create appropriate patient education materials, and increase patient satisfaction by learning where patients are spending the most time on social media.
