Quantum Computing: The Future of Big Data and Artificial Intelligence in Spine

Virtual Clinical Trials - Implications of Computer Simulations and Artificial Intelligence for Musculoskeletal Research

ABSTRACT

In silico clinical trials, particularly when augmented with artificial intelligence methods, represent an innovative approach with much to offer, particularly in the musculoskeletal field. They are a cost-effective, efficient, and ethical means of evaluating treatments and interventions by supplementing and/or augmenting traditional randomized controlled trials (RCTs). While they are not a panacea and should not replace traditional RCTs, their integration into the research process promises to accelerate medical advancements and improve patient outcomes. To accomplish this, a multidisciplinary approach is needed, and collaboration is instrumental. With advances in computing and analytical prowess, and by adhering to the tenets of team science, realization of such a novel integrative approach toward clinical trials may not be far from providing far-reaching contributions to medical research. As such, by harnessing the power of in silico clinical trials, investigators can potentially unlock new possibilities in treatment and intervention for ultimately improving patient care and outcomes.

Quantum technology for development framework as a tool for science diplomacy

The state-of-the-art quantum technologies leverage the unique principles of quantum mechanics, which include quantization, uncertainty principle, interference, entanglement and decoherence, to produce useful devices and scientific advancements not possible with classical technologies. As a result, quantum technologies, in particular, offer specific advantages that make communications networks secure and unbreakable and devices with unprecedented levels of accuracy, responsiveness, reliability, scalability and efficiency than classical emerging technologies. These capabilities can contribute significantly to addressing energy, agriculture, climate change, national security, healthcare, education and economic growth challenges. Unfortunately, these developments in these areas have not been evenly distributed between the Global North and the Global South, inadvertently creating a societal and economic gap. Closing this gap is critical to creating a more inclusive and sustainable future for all, thus delivering key sustainable goals. Therefore, to close this gap, this article proposes a quantum diplomacy framework as a means to deliver science diplomacy. Moreover, we discuss how emerging quantum technologies could profoundly impact all 17 United Nations Sustainable Development Goals. We consider this work a timely and vital intervention to prevent the gap from increasing.

Revolutionizing Spinal Care: Current Applications and Future Directions of Artificial Intelligence and Machine Learning

Artificial intelligence (AI) and machine learning (ML) are rapidly becoming integral components of modern healthcare, offering new avenues for diagnosis, treatment, and outcome prediction. This review explores their current applications and potential future in the field of spinal care. From enhancing imaging techniques to predicting patient outcomes, AI and ML are revolutionizing the way we approach spinal diseases. AI and ML have significantly improved spinal imaging by augmenting detection and classification capabilities, thereby boosting diagnostic accuracy. Predictive models have also been developed to guide treatment plans and foresee patient outcomes, driving a shift towards more personalized care. Looking towards the future, we envision AI and ML further ingraining themselves in spinal care with the development of algorithms capable of deciphering complex spinal pathologies to aid decision making. Despite the promise these technologies hold, their integration into clinical practice is not without challenges. Data quality, integration hurdles, data security, and ethical considerations are some of the key areas that need to be addressed for their successful and responsible implementation. In conclusion, AI and ML represent potent tools for transforming spinal care. Thoughtful and balanced integration of these technologies, guided by ethical considerations, can lead to significant advancements, ushering in an era of more personalized, effective, and efficient healthcare.