Complexity Of Clinical Problems Research Articles

Intelligent medicine in focus: the 5 stages of evolution in robot-assisted surgery for prostate cancer in the past 20 years and future implications

Robot-assisted surgery has evolved into a crucial treatment for prostate cancer (PCa). However, from its appearance to today, brain-computer interface, virtual reality, and metaverse have revolutionized the field of robot-assisted surgery for PCa, presenting both opportunities and challenges. Especially in the context of contemporary big data and precision medicine, facing the heterogeneity of PCa and the complexity of clinical problems, it still needs to be continuously upgraded and improved. Keeping this in mind, this article summarized the 5 stages of the historical development of robot-assisted surgery for PCa, encompassing the stages of emergence, promotion, development, maturity, and intelligence. Initially, safety concerns were paramount, but subsequent research and engineering advancements have focused on enhancing device efficacy, surgical technology, and achieving precise multi modal treatment. The dominance of da Vinci robot-assisted surgical system has seen this evolution intimately tied to its successive versions. In the future, robot-assisted surgery for PCa will move towards intelligence, promising improved patient outcomes and personalized therapy, alongside formidable challenges. To guide future development, we propose 10 significant prospects spanning clinical, research, engineering, materials, social, and economic domains, envisioning a future era of artificial intelligence in the surgical treatment of PCa.

CORR Synthesis: When Should the Orthopaedic Surgeon Use Artificial Intelligence, Machine Learning, and Deep Learning?

CORR Synthesis: When Should the Orthopaedic Surgeon Use Artificial Intelligence, Machine Learning, and Deep Learning?

Illustrated Imaging Essay on Congenital Heart Diseases: Multimodality Approach Part I: Clinical Perspective, Anatomy and Imaging Techniques.

Rapid evolution in technology in the recent years has lead to availability of multiple options for cardiac imaging. Availability of multiple options of varying capability, poses a challenge for optimal imaging choice. While new imaging choices are added, some of the established methods find their role re-defined. State of the art imaging practices are limited to few specialist cardiac centres, depriving many radiologists and radiologist in-training of optimal exposure to the field. This presentation is aimed at providing a broad idea about complexity of clinical problem, imaging options and a large library of images of congenital heart disease. Some emphasis is made as to the need of proper balance between performing examination with technical excellence in an ideal situation against the need of the majority of patients who are investigated with less optimal resources. Cases of congenital cardiac disease are presented in an illustrative way, showing imaging appearances in multiple modalities, highlighting specific observations in given instance.