Futuristic frontiers in science and technology: Advancements, requirements, and challenges of multi-approach research

Abstract

The rapid advancement of science and technology necessitates a multidisciplinary research approach to address complex challenges and unlock transformative innovation. This short communication paper discusses the future requirements and challenges associated with the integration of the latest technologies, including Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Medical Imaging, Electronic Health Records (EHR), Precision Medicine, Personalized Healthcare, Clinical Decision Support Systems, AI-Based Screening Systems, Federated Learning, and Point Cloud Processing. By understanding these requirements and challenges, researchers can navigate the multidisciplinary landscape and leverage technology’s potential for scientific progress.