Thacharodi Aswin, Singh Prabhakar, Meenatchi Ramu, Tawfeeq Ahmed Z H, Kumar Rejith R S, V Neha, Kavish Sanjana, Maqbool Mohsin, Hassan Saqib
Department of Research and Development Dr. Thacharodi's Laboratories Puducherry India.
Department of Biotechnology, School of Bio and Chemical Engineering Sathyabama Institute of Science and Technology Chennai Tamilnadu India.
Health Care Sci. 2024 Oct 9;3(5):329-349. doi: 10.1002/hcs2.115. eCollection 2024 Oct.
The increasing integration of new technologies is driving a fundamental revolution in the healthcare sector. Developments in artificial intelligence (AI), machine learning, and big data analytics have completely transformed the diagnosis, treatment, and care of patients. AI-powered solutions are enhancing the efficiency and accuracy of healthcare delivery by demonstrating exceptional skills in personalized medicine, early disease detection, and predictive analytics. Furthermore, telemedicine and remote patient monitoring systems have overcome geographical constraints, offering easy and accessible healthcare services, particularly in underserved areas. Wearable technology, the Internet of Medical Things, and sensor technologies have empowered individuals to take an active role in tracking and managing their health. These devices facilitate real-time data collection, enabling preventive and personalized care. Additionally, the development of 3D printing technology has revolutionized the medical field by enabling the production of customized prosthetics, implants, and anatomical models, significantly impacting surgical planning and treatment strategies. Accepting these advancements holds the potential to create a more patient-centered, efficient healthcare system that emphasizes individualized care, preventive care, and better overall health outcomes. This review's novelty lies in exploring how these technologies are radically transforming the healthcare industry, paving the way for a more personalized and effective healthcare for all. It highlights the capacity of modern technology to revolutionize healthcare delivery by addressing long-standing challenges and improving health outcomes. Although the approval and use of digital technology and advanced data analysis face scientific and regulatory obstacles, they have the potential for transforming translational research. as these technologies continue to evolve, they are poised to significantly alter the healthcare environment, offering a more sustainable, efficient, and accessible healthcare ecosystem for future generations. Innovation across multiple fronts will shape the future of advanced healthcare technology, revolutionizing the provision of healthcare, enhancing patient outcomes, and equipping both patients and healthcare professionals with the tools to make better decisions and receive personalized treatment. As these technologies continue to develop and become integrated into standard healthcare practices, the future of healthcare will probably be more accessible, effective, and efficient than ever before.
新技术日益融合正在推动医疗保健领域的一场根本性革命。人工智能(AI)、机器学习和大数据分析的发展彻底改变了患者的诊断、治疗和护理方式。人工智能驱动的解决方案通过在个性化医疗、疾病早期检测和预测分析方面展现出卓越技能,提高了医疗服务的效率和准确性。此外,远程医疗和远程患者监测系统克服了地理限制,提供了便捷易获取的医疗服务,尤其是在服务不足的地区。可穿戴技术、医疗物联网和传感器技术使个人能够积极参与健康跟踪和管理。这些设备便于实时数据收集,实现预防性和个性化护理。此外,3D打印技术的发展通过能够生产定制的假肢、植入物和解剖模型,彻底改变了医疗领域,对手术规划和治疗策略产生了重大影响。接受这些进步有可能创建一个更以患者为中心、高效的医疗保健系统,该系统强调个性化护理、预防性护理和更好的整体健康结果。本综述的新颖之处在于探索这些技术如何从根本上改变医疗保健行业,为所有人提供更个性化、更有效的医疗保健铺平道路。它强调了现代技术通过应对长期挑战和改善健康结果来彻底改变医疗服务的能力。尽管数字技术和先进数据分析的批准和使用面临科学和监管障碍,但它们有潜力改变转化研究。随着这些技术不断发展,它们有望显著改变医疗保健环境,为子孙后代提供一个更可持续、高效且易获取的医疗保健生态系统。多方面的创新将塑造先进医疗技术的未来,彻底改变医疗保健的提供方式,改善患者预后,并为患者和医疗专业人员提供更好的决策工具和接受个性化治疗的手段。随着这些技术不断发展并融入标准医疗实践,医疗保健的未来可能会比以往任何时候都更容易获取、更有效且更高效。