The realm of medicine is being revolutionized by artificial intelligence (AI), presenting new opportunities for the diagnosis and treatment of various illnesses. One particular area where AI is showing promise is in the identification and examination of breast diseases, particularly breast cancer, which is a common form of cancer in women.1–4 Early detection is vital for successful treatment, and AI technologies like machine learning algorithms are now enabling medical experts to analyze mammograms and other medical images with greater accuracy and efficiency to pinpoint and characterize breast abnormalities. AI algorithms are trained on extensive sets of medical images to detect patterns that could indicate the presence of breast cancer.5,6 These algorithms can identify subtle changes in breast tissue that might not be noticeable to the naked eye, thereby enhancing diagnostic precision. Furthermore, AI can also help prioritize cases based on the likelihood of malignancy, enabling radiologists to concentrate on the most concerning cases first. Additionally, AI can assist medical professionals in creating personalized treatment plans for patients with breast cancer by analyzing their medical records, imaging data, and genetic information.7,8 This tailored approach to treatment can result in improved patient outcomes and reduced risk of unnecessary treatments or side effects. Aside from aiding in diagnosis and treatment, AI is also contributing to breast cancer research and drug development. By examining extensive datasets of genetic and clinical data, AI can aid researchers in identifying new drug targets and developing more effective treatment options for breast cancer patients, potentially expediting the drug discovery process and bringing novel therapies to the market more swiftly. Mainly, the integration of AI technologies in breast cancer diagnosis and treatment is transforming the approach to combating this disease. By delivering more precise and individualized care, AI is enhancing patient outcomes and alleviating the strain on healthcare systems. While challenges like ensuring data privacy and addressing algorithm biases persist, the benefits of AI in breast cancer care are undeniable. As AI continues to advance, we can look forward to even greater progress in improving the quality of life for individuals affected by breast cancer through more effective and precise care.

In this article, we will explore how AI is impacting the identification and diagnosis of breast conditions, along with the current advancements being made in this field. The article will focus on 2 main uses of AI in breast disease: surgical robotics and remote monitoring tools, which are shown in the Fig. 1, for early detection. By enhancing the accuracy and efficiency of detecting breast diseases, AI is transforming the healthcare sector and enhancing patient outcomes. Utilizing AI in surgical robots allows for more precise and minimally invasive procedures, while remote monitoring tools enable healthcare professionals to monitor changes in breast health over time. These technological advancements are creating new possibilities for improving the detection and treatment of breast conditions, ultimately enhancing the quality of care provided to patients.

Fig. 1.

Artificial intelligence robots for breast diseases.

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The implementation of surgical robots in surgeries for breast cancer has had a significant impact on the field, greatly improving precision, accuracy, and overall outcomes. These robots offer real-time guidance to surgeons, analyze imaging data, and ensure the utmost accuracy during procedures. As a result of these advancements, surgical robots have become essential tools for successful breast cancer surgeries. The utilization of advanced robotics technology has steadily increased in recent years, showcasing the growing recognition of their benefits in enhancing patient care. On a similar note, the introduction of AI-powered remote monitoring systems in the management of breast diseases has completely transformed the healthcare industry. These systems continuously collect and analyze data, allowing for the tracking of symptom progression, prediction of disease advancement, and the recommendation of personalized treatment options based on individual patient data. The integration of AI algorithms has greatly improved the efficiency and effectiveness of remote monitoring, leading to more timely interventions, optimized treatment plans, and ultimately, better patient outcomes. As a result, the evidence shows that the incorporation of surgical robotics and AI-powered remote monitoring systems in breast disease management has increased the quality of care provided to patients. These technological innovations have not only enhanced precision, accuracy, and outcomes in surgeries but have also streamlined patient care processes, improved patient engagement, and provided personalized treatment options. The future of healthcare is on the brink of further advancements in surgical robotics and remote monitoring, leading to more efficient, effective, and personalized care for patients with breast diseases.

Conversations within the medical community have highlighted the recent advancements in surgical robotics for breast cancer procedures, which have drastically improved patient outcomes by enhancing precision and quality of care. Incorporating AI into surgical robots has revolutionized the way surgeries are performed, providing real-time guidance to surgeons and ensuring utmost precision during procedures. These robots have proven to be essential in analyzing imaging data and improving the efficiency and success rates of breast cancer surgeries. Similarly, AI-powered remote monitoring systems have played a crucial role in managing breast diseases by allowing healthcare providers to monitor patient health data and predict disease progression from a distance. By analyzing patient-specific data and generating personalized treatment recommendations, these systems have significantly improved the effectiveness of disease management. The study emphasizes the transformative potential of AI-powered remote monitoring systems in delivering personalized care and improving patient outcomes for individuals with breast diseases. The integration of surgical robotics and AI-powered remote monitoring systems represents a significant advancement in healthcare technology, enhancing precision, accuracy, and overall patient care. These innovations have streamlined patient care processes, increased patient engagement, and provided tailored treatment options. As technology continues to evolve, there is immense promise for more efficient, effective, and personalized care for patients with breast diseases. Continued research and development in this rapidly evolving field are crucial for advancing breast disease management and improving patient outcomes. Incorporating robotics and monitoring technology into healthcare, especially for breast disease management, presents a range of advantages but also significant challenges that different healthcare systems globally must contend with. Here are some notable drawbacks to think about: Firstly, the costs associated with these technologies can be prohibitive. The initial investment for robotic systems and advanced monitoring tools can be substantial, which can make it difficult for healthcare systems with limited resources to adopt them. Additionally, ongoing maintenance costs can further strain budgets, particularly in healthcare settings that are already underfunded. Another critical issue is the need for skilled professionals to operate these technologies effectively. Healthcare workers may require extensive training and continuous education to use robotic systems and understand the data generated by monitoring devices. This need can intensify existing workforce shortages, as many regions already struggle to find qualified medical staff. There are also concerns about equitable access to these advanced technologies. Rural and underserved populations might find it challenging to access cutting-edge robotic treatments, which could lead to disparities in healthcare quality compared to urban areas. Economic factors could exacerbate this issue, as individuals from lower socioeconomic backgrounds may lack access to the latest technologies, resulting in unequal health outcomes. Integrating new robotic technologies into existing healthcare systems can prove difficult as well. Compatibility issues with current health information systems may hinder efficient data sharing and patient management. Furthermore, some clinicians may be resistant to adopting new technologies due to a lack of familiarity or misplaced trust, which could impede the integration process.

Data privacy and security pose additional concerns. The increased reliance on robotic and monitoring systems heightens the risk of data breaches if patient information is not managed securely. Healthcare systems need to comply with complex regulations concerning data privacy and cybersecurity, which can delay the adoption of these innovations. Moreover, there is the danger of becoming overly dependent on technology. Clinicians might start to rely too heavily on robotic systems for decision-making, which could undermine their clinical judgment and patient evaluations. These technologies also have limitations when it comes to interpreting complex clinical situations that often require human intuition. Job displacement is another potential downside. While robotics can boost efficiency, there are concerns about reduced demand for certain healthcare roles, which could negatively impact staff morale and job security. Further complicating the situation are mixed results in terms of the effectiveness of robotic interventions in managing breast diseases. Studies show varying success rates, creating uncertainty for both patients and healthcare providers about the best treatment options. The lack of universally accepted standards in implementing these technologies can lead to inconsistencies across different healthcare systems. Cultural and ethical aspects also come into play. Different cultural attitudes towards robotic interventions can influence patient acceptance and adherence to treatment. Ethical dilemmas arise concerning the implications of using technology in such sensitive areas as breast disease management, particularly regarding the balance between technology and human-centered care.

Additional significant effects of the use of the surgical robots and remote monitoring systems in the breast health are represented by the energy effects. The use of AI in the medical field is reshaping how breast diseases are treated, particularly through surgical robotics and remote monitoring, which can have a considerable effect on energy use and public health. For the surgical robotics, the introduction of robotic systems in breast surgery is aimed at improving precision and shortening recovery periods. This approach often results in shorter hospital stays and less energy required from healthcare facilities since these minimally invasive procedures typically need fewer resources for lighting and sterilization. Additionally, robotic technologies can reduce the time spent in operating rooms, which lessens not only energy consumption but also the use of anesthesia—which has environmental implications due to certain anesthetic gases emitting greenhouse gases. Moreover, while there might be high energy demands in producing and maintaining surgical robots, the efficiencies gained during their use can lead to overall energy savings compared to conventional surgical methods. With AI-driven imaging technology, early detection of breast diseases can significantly enhance patient outcomes, potentially lessening the strain on healthcare resources in the long run. This technology can also help hospitals manage more patients without proportionately increasing their energy consumption. On the other hand, remote monitoring technologies, including wearables, also influence energy use. Though these devices need power to function, they contribute to lower energy consumption over time by minimizing in-person visits and hospital appointments. This transition to virtual consultations can lower the carbon impact associated with transportation and facility operation.22,23 In Fig. 2, we illustrate the main limitations of the use of the surgical robots and remote monitoring for breast health.

Fig. 2.

The main limitations of using the artificial intelligence robots for breast diseases.

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The AI processes driving remote monitoring do require energy, especially during data processing and storage. However, the adoption of energy-efficient data centers can mitigate these demands. Engaging patients in self-monitoring can result in fewer clinical visits, thereby reducing energy expenditures. With regard to public health, remote monitoring enhances access to care for patients with breast diseases, especially in areas where healthcare is limited. By reducing the necessity for travel, these technologies can positively affect environmental impact and promote preventive care. Furthermore, employing remote monitoring allows healthcare systems to better allocate resources, which may lead to lowered operational costs and energy use in hospitals. As the healthcare sector contributes notably to global carbon emissions, leveraging AI technologies can be vital in addressing climate change. Improvements in how breast diseases are treated can help lower the sector's carbon footprint by enhancing resource management. While hospitals might see significant initial investments in these technologies, the long-term savings from operational efficiencies could be redirected towards advancing public health efforts, research, and community health initiatives.

In this article, we showed how AI is revolutionizing the identification and diagnosis of breast diseases, particularly breast cancer. The integration of AI technologies, such as surgical robots and remote monitoring systems, has significantly improved the accuracy, efficiency, and effectiveness of breast disease management. We demonstrated that surgical robots equipped with AI algorithms provide real-time guidance to surgeons, analyze imaging data, and ensure meticulous precision during procedures. This advancement has elevated the quality of care delivered to patients, resulting in successful outcomes in breast cancer surgeries.

As we venture further into the realm of AI technology for breast diseases, we can observe the significant influence they have on transforming healthcare methods. In our investigation of AI-driven remote monitoring systems, we have seen the impressive capabilities they offer in enabling healthcare providers to closely track patient health data, anticipate disease progression, and suggest tailored treatment options. By utilizing AI algorithms, healthcare providers are able to enhance patient outcomes, promote increased patient involvement, and enhance the overall quality of care provided to patients with breast diseases. The incorporation of AI technology into healthcare practices is paving the way for more streamlined and effective patient care, ultimately resulting in improved health outcomes and patient satisfaction. As we consider the progress made in leveraging AI for breast diseases, it is clear that these advancements are reshaping the healthcare industry. The personalization and accuracy that AI technology provides are transforming how healthcare providers approach the diagnosis, treatment, and control of breast cancer. Through the integration of AI-driven solutions, we are observing a shift towards more personalized and tailored healthcare strategies that meet the unique needs of each patient.

Looking forward, we are optimistic about the potential of utilizing AI technology to further improve the quality of life for those impacted by breast cancer. As AI continues to progress, we anticipate even greater strides in diagnostic precision, treatment effectiveness, and patient care. The opportunity for AI to revolutionize the management of breast diseases is vast, and we are thrilled to be leading this transformative journey. In summary, the advancements in AI technology for breast diseases are bringing about positive changes in the healthcare field. Through our ongoing exploration and utilization of AI-powered solutions, we are unlocking new opportunities to enhance patient care, outcomes, and experiences. Incorporating robotics and monitoring technology in breast disease management offers efficiency and improved patient outcomes but presents challenges such as high costs, workforce shortages, and disparities in access. Data privacy concerns and potential job displacement are critical issues. Despite these drawbacks, long-term energy savings and enhanced resource management can benefit public health. By harnessing the power of AI to improve the precision and individualization of healthcare practices, we are paving the way to a brighter future for individuals facing breast cancer. Together, we are at the forefront of a healthcare revolution that is redefining care standards and ultimately enhancing the lives of patients globally.

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All data are included in the manuscript.

The study is funded by Damascus University (https://www.damascusuniversity.edu.sy/), and International University for Science and Technology (https://iust.edu.sy /).

All authors of the article (MA) are responsible to the design and implementation of the research to the analysis of the results and to the writing of the manuscript.