AI-Assisted Neurosurgical Training and Decision Support (Hardcover)

Artificial intelligence (AI) transforms neurosurgery by enhancing surgical training and clinical decision-making. Through advanced machine learning algorithms, computer vision, and data-driven predictive models, AI-assisted systems analyze complex neurological data, simulate surgical procedures, and provide real-time guidance during operations. In neurosurgical education, these technologies offer immersive training environments, personalized feedback, and skill assessment tools that help refine techniques with greater precision and safety. AI-powered decision support systems improve diagnostic accuracy, treatment planning, and patient outcome prediction, enabling clinicians to make more informed and timely decisions. As neurosurgery evolves alongside digital innovation, AI emerges as a powerful tool that may further improve surgical performance, reduce risks, and advance patient care. AI-Assisted Neurosurgical Training and Decision Support explores the application of AI, simulation technologies, robotics, and extended reality in changing the neurosurgery education and intraoperative decision-making landscape. It examines the need for trained neurosurgeons in AI-powered healthcare settings. This book covers topics such as neuroscience, deep learning, and data science, and is a useful resource for engineers, medical and healthcare professionals, academicians, researchers, and scientists.

Dr. Mohsin Qadeer is an Associate Professor at Agha Khan University Hospital and Medicare Cardiac and General Hospital (MGCH). He is one of the best neurosurgeons in Karachi, with a high patient satisfaction rate. He completed his MBBS and FCPS from Karachi, Pakistan. He completed his house job at Liaquat National Hospital as a house officer and resident neurosurgeon. He has an expert specialization in neurosurgery, which involves surgical treatment of neurological conditions such as peripheral nerve injury, spinal arthritis, cerebrospinal fluid leakage, brain tumors, etc. He has many publications, including national and international publications. Dr. Mohsin Qadeer has authored over 21 impactful articles. Dr. Mohsin Qadeer is associated with renowned hospitals, including Medicare Cardiac and General Hospital (MGCH), the National Medical Complex (NMC), Agha Khan Hospital University, and Ziauddin Hospital. He continued serving in different neurosurgery departments for years, treating all kinds of neurological conditions. A neurosurgeon also specializes in providing pre- and post-surgical care to patients. While working in neurosurgery, he focuses on the treatment of neurological conditions by using surgical methods. His exposure throughout the years of professional practice resulted in the enrichment of treatment skills across the vast field of neurosurgery. He has also been working on risk assessment of neurological conditions as well as their prevention and management. Based on existing conditions, he provides customized treatment plans for patients of all age groups. His expertise in advanced neurosurgery makes him one of the top certified neurosurgeons in Karachi. Currently he supervises many neurosurgeon residents in MGCH and Agha Khan University Hospital, where he contributes to research work in the neurosurgery field.

Soobia Saeed is currently lecturer at the School of Computer Science, Taylor's University, Malaysia. Prior to joining Taylor's University, she also worked as a research assistant in the neurosurgical unit in Medicare Cardiac and General Hospital (MGCH) under the supervision of Dr. Mohsin Qadeer (Consultant Neurosurgeon. She served as the Director of the Office of Research, Innovation, and Commercialization (ORIC) at Sohail university formerly Jinnah Medical and Dental College (JMDC). Additionally, she held the position of Assistant Professor at Sohail University. During her tenure at JMDC, Dr. Saeed was instrumental in leading the Ethical Review Committee and spearheaded several industrial and pharmaceutical projects, demonstrating her leadership and expertise in bridging academia with industry. Dr. Saeed earned her Ph.D. in Computer Science from Universiti Teknologi Malaysia (UTM), where her doctoral research focused on the application of Artificial Intelligence (AI) in healthcare. Her Ph.D. thesis made significant contributions to the field, particularly in integrating AI into medical practices, enhancing clinical decision-making, and improving patient outcomes. With a strong research background, Dr. Saeed has authored over 96 impactful articles that span the frontiers of Machine Learning, Artificial Intelligence, Computational Neuroscience, Software Engineering, Bioinformatics, and Computing. Her work is particularly concentrated in the areas of machine learning and computational neurosciences, where she has developed innovative solutions to complex challenges in healthcare. These contributions have been published in journals indexed in the Science Citation Index (SCI), underscoring the clinical relevance and significant impact of her research within the medical domain. Dr. Saeed's dedication to advancing knowledge in AI and its applications in healthcare continues to influence both academic and clinical settings, positioning her as a key figure in the intersection of technology and medicine.