Neurosurgeons receive extensive technical training, which equips them with the knowledge and skills to specialise in various fields and manage the massive amounts of information and decision-making required throughout the various stages of neurosurgery, including preoperative, intraoperative, and postoperative care and recovery. Over the past few years, artificial intelligence (AI) has become more useful in neurosurgery. AI has the potential to improve patient outcomes by augmenting the capabilities of neurosurgeons and ultimately improving diagnostic and prognostic outcomes as well as decision-making during surgical procedures. By incorporating AI into both interventional and non-interventional therapies, neurosurgeons may provide the best care for their patients. AI, machine learning (ML), and deep learning (DL) have made significant progress in the field of neurosurgery. These cutting-edge methods have enhanced patient outcomes, reduced complications, and improved surgical planning.
Lumbar disk herniation (LDH) is a common condition affecting millions worldwide. The management of LDH has evolved over the years, with the development of newer surgical techniques that aim to provide better outcomes with minimal invasiveness. One promising emerging technique is biportal endoscopic spinal surgery (BESS), which utilizes specialized endoscopic equipment to treat LDH through two small incisions. This review aims to assess the effectiveness of BESS as a management option for LDH by analyzing the available literature on surgical outcomes and potential complications associated with the technique. Our review shows that BESS is associated with favorable postoperative results as judged by clinical scoring systems, such as visual analog scale, Oswestry disability index, and MacNab criteria. BESS has several advantages over traditional open surgery, including minimized blood loss, a shorter duration of hospitalization, and an expedited healing process. However, the technique has limitations, such as a steep learning curve and practical challenges for surgeons. Our review offers recommendations for the optimal use of BESS in clinical practice, and provides a foundation for future research and development in this field, aiming to improve patient outcomes and quality of life.