Intelligent Healthcare: The Next Revolution—From the Hippocratic Oath to Artificial Intelligence Empowerment

The global healthcare landscape is undergoing an unprecedented paradigm shift, driven by the dual pressures of unmet medical needs and technological innovation. Current data highlight the profound challenges facing modern healthcare: constrained by inherent human limitations, delays and misdiagnoses are far from uncommon in clinical diagnostics; meanwhile,[1] vast populations in rural and medically underserved regions face considerable challenges in accessing quality healthcare conveniently and promptly.[2] The burden of chronic diseases continues to mount, with global costs associated with chronic conditions projected to surge to $47 trillion by 2030.[3] This challenge is further magnified by the persistent threat of epidemics and the uneven distribution of healthcare resources across regions. Simultaneously, the rapid advancement of artificial intelligence (AI) has unlocked transformative potential—AI-powered diagnostic systems have achieved 92%–98% accuracy in specialized fields such as radiology and pathology,[4,5] while intelligent hospital management tools have reduced administrative burdens on clinicians by 35% and shortened patient wait times by 40%. These trends underscore the urgent need for a dedicated platform to bridge AI innovation and clinical application, accelerating the translation of technological breakthroughs into equitable, human-centered healthcare solutions. In response to this critical imperative, we are pleased to announce the launch of Intelligent Healthcare. The core principle of this journal is to accelerate the translation of AI discoveries into equitable, data-driven, and human-centered solutions. AI is poised to become the most powerful tool for clinicians, augmenting human judgment and delivering care with unparalleled accuracy and scale.

Intelligent Healthcare is dedicated to publishing high-impact, peer-reviewed research that advances the integration of AI with healthcare, fostering innovations in clinical practice, healthcare delivery, and global health equity. The journal’s scope encompasses diverse areas within intelligent healthcare, including but not limited to:

Reshaping the smart hospital ecosystem

	Clinical augmentation: This domain encompasses AI-driven diagnostic systems, surgical robotics, and clinical decision support tools, designed to enhance the precision and efficiency of patient diagnosis and treatment.
	Operational efficiency: It includes resource optimization, patient flow prediction, and administrative process automation. The goal is a truly “patient-centered intelligent system” that frees clinicians from administrative burdens, allowing them to focus entirely on care.

Elevating digital healthcare and personalized prevention

	Digital healthcare management: This category covers wearable technology, the Internet of Medical Things (IoMT), and telemedicine platforms, which break through the limitations of traditional clinical settings and expand the reach of healthcare services.
	Personalized prevention and predictive medicine: It involves data-driven risk stratification and early intervention algorithms, facilitating the shift of healthcare models from reactive treatment to proactive prevention.

Ensuring equity in global health

	Global health equity: This area focuses on algorithmic bias mitigation, decentralized healthcare delivery, and research on the cross-population generalization of AI tools, ensuring equitable access to innovative healthcare services.
	Public health surveillance: It includes offering advanced models for real-time epidemic tracking, outbreak prediction, and resource mobilization during crises, requiring international cooperation on data standards and ethical frameworks. It guides the responsible development and application of artificial intelligence in healthcare.

Intelligent Healthcare serves as the essential platform for this dialogue, dedicated to publishing rigorously validated research with genuine potential for clinical transformation. Intelligent Healthcare is supported by a distinguished international editorial board comprising leading experts in AI technology, clinical medicine, public health, medical ethics, and healthcare policy. This interdisciplinary team ensures comprehensive scientific oversight, rigorous peer review, and the maintenance of the highest standards of academic integrity. We welcome submissions across various article types, including Original Research Articles, Systematic Reviews, Case Reports, Consensus and Clinical Practice Guidelines, Letters, Comments, Brief Reports, and Communications. We warmly invite you to contribute your valuable work as we collectively shape the future of healthcare—transitioning from reactive treatment to predictive, preventive, and personalized care that honors the timeless Hippocratic Oath through the power of AI. Our goal is to establish Intelligent Healthcare as the premier global platform for advancing AI-driven healthcare innovation, facilitating cross-sector collaboration between computer scientists, clinicians, policymakers, and ethicists. By committing to intelligent, equitable, and human-centered solutions, we can successfully transition from the reactive medicine of the past to the predictive, preventive, and personalized care of the future. The next chapter of medical history is being written now, powered by the promise of AI.

References

[1] Faye F, Crocione C, Anido de Peña R, et al. Time to diagnosis and determinants of diagnostic delays of people living with a rare disease: results of a rare barometer retrospective patient survey. Eur J Hum Genet. 2024;32(9):1116-1126.

[2] Natarajan A, Gould M, Daniel A, Mangal R, Ganti L. Access to healthcare in rural communities: a bibliometric analysis. Health Psychol Res. 2023;11:90615.

[3] Hacker K. The burden of chronic disease. Mayo Clin Proc Innov Qual Outcomes. 2024;8(1):112-119.

[4] Song Z, Zou S, Zhou W, et al. Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning. Nat Commun. 2020;11(1):4294.

[5] Bulten W, Kartasalo K, Chen PC, et al. Artificial intelligence for diagnosis and gleason grading of prostate cancer: the PANDA challenge. Nat Med. 2022;28(1):154-163.

RIGHTS & PERMISSIONS

The Author(s) 2026. This article is published with open access at journal.hep.com.cn.