Breast Surgery Planning

With artificial intelligence (AI) and machine learning (ML) used more and more in different areas, is it also useful in personalised breast procedure planning? The short answer is yes but there is a need for much more research into the subject.

Ways Artificial Intelligence and Machine Learning will Change the Future of Breast Surgery

AI and ML are the latest buzzwords in breast surgery research, with a number of successful trials. ML refers to using large datasets to create algorithms that imitate the way the brain thinks. While AI and ML have undoubtedly been groundbreaking in many industries, it is not yet established in breast surgery.

Let us look at the possible uses of this technology in planning the best time for breast reduction surgery.

Computer-assisted Breast Surgery

Computer-assisted breast surgery can improve breast reconstruction through preoperative planning. It can personalise breast reconstructions and can assist in postoperative care. It can also help surgeons predict patient outcomes and make decisions from the use preoperative data in AI predictive models.

It is also possible to use AI to manipulate ML algorithms to tailor implants to suit individual patients, which improves the results and patient satisfaction. The ability to use AI to help select the type of breast reconstruction and forecast the best results using different surgical technique makes breast surgery Sydney decision-making simpler.

During Planning for Surgery

It is important to take images when planning breast surgery. The reasons for this can be for anything from identifying the exact location of a tumour or to help a surgeon decide the best technique to use in a breast reconstruction. With the high amount of data coming from these images, it is time-consuming for radiologists to analyse so much information before breast surgery.

ML technology can accurately analyse the data efficiently with the same, if not better, accuracy as a radiologist. It also has a higher sensitivity; for example, can better detect cancer. This technology provides surgeons with the information they need so they can make more informed decisions about patient treatments. It can reduce the likelihood of mistakes, workloads and the burden on resources.

Postoperative Contributions

AI is also useful for predicting complications after a breast reconstruction and gives a specialist plastic surgeon a better idea of the possible outcome before operating. AI and cosmetic surgery outcomes will be a major use of AI in the future according to research. Machine learning cosmetic surgery can accurately give insight into patient outcomes when used in conjunction with statistical modelling. The ability to make accurate predictions for patient outcomes over the long term can impact the decision to use a certain technique during surgery while preparing for breast procedure and treatment protocols.

Contributes Insight into Complex Risk Factors

Research shows that the use of AI and ML can improve a surgeon’s prediction of a patient having serious complications when they have breast reconstruction surgery after a mastectomy.

A common risk is periprosthetic infection which is an infection that can develop around the implant and this can be serious. Although there are techniques a surgeon can use to forecast the risk of infection developing in a patient, the current statistical methods cannot not take into account complex nonlinear interactions that can cause a higher risk of someone having complications.

Holistic Care

We are now recognising the importance of taking an attitude of holistic care when treating patients. People can experience severe pain after a breast reconstruction and ML makes it possible to predict pain that is the result of nerve damage more quickly. This can empower doctors and surgeons to provide more personalised support while the patient is recovering from breast surgery.

Future of New Technologies in Breast Surgery

There is huge potential for the use of AI and ML in breast surgery. As medical research advances, so do new treatments. Some studies suggest that they can become part of the decision-making process when considering specific options for healing.

It can also predict that the more a surgeon performs specific types of breast surgery, the better the long-term results of their patients. There is a theory that ML can examine a successful surgeon’s technique and use the information to train inexperienced surgeons.

While all this sounds exciting, it is only early stages for this technology so there are still challenges to overcome. AI and ML is complex so, before breast surgeons start using it, they will need training and knowledge in the clinical application of this new technology’s.

The results of current research into the value of AI and ML in breast surgery supports further research into its value for use in breast reconstruction. There are several areas where this technology has benefits for both patients and their healthcare providers.

If you are considering breast reconstruction surgery, contact Pure Aesthetics today to book an initial consultation with the highly experienced specialist plastic surgeon, Dr Steve Merten.