FROM TREATMENT TO PREVENTION AND HOLISTIC CARE: HOW AI IS SHAPING THE FUTURE OF CANCER MANAGEMENT

Cancer care is undergoing a significant transformation. Rather than focusing solely on treating advanced-stage disease, healthcare systems worldwide are increasingly prioritizing early detection, precision medicine, and patient-centered care. Artificial Intelligence (AI), together with robotic surgery, advanced diagnostic imaging, and healthcare data analytics, is emerging as a key enabler of this transition.

Cancer Care Is Shifting from Disease Treatment to Early Detection and Precision Medicine

For decades, progress in oncology was largely measured by the development of new drugs and therapeutic approaches. Today, however, the industry is embracing a broader strategy that emphasizes prevention, early screening, and personalized treatment pathways.

The growing global cancer burden drives this shift. According to the World Health Organization (WHO), nearly 20 million new cancer cases and approximately 9.7 million cancer-related deaths were recorded worldwide in 2022. If current trends continue, the number of new cases is projected to reach approximately 35 million by 2050, representing a 77% increase.

In Vietnam, GLOBOCAN 2022 estimated around 180,000 new cancer cases and 120,000 cancer deaths annually. Age-standardized incidence and mortality rates reached 150.8 and 99.0 per 100,000 population, respectively. Breast, liver, lung, colorectal, and stomach cancers remain among the most prevalent malignancies nationwide.

Alongside population aging, healthcare experts have also observed a rising incidence of certain cancers among younger age groups. Several projections suggest that Vietnam could experience a 60–70% increase in cancer cases by 2050, creating substantial pressure on healthcare infrastructure and increasing the need for timely diagnosis and intervention.

Importantly, clinical outcomes are influenced not only by therapeutic options but also by the timing of diagnosis. Speaking at the conference “New Trends in Cancer Treatment: Integrating AI and Traditional Medicine,” Dr. Diep Bao Tuan, Director of Ho Chi Minh City Oncology Hospital, noted that previous studies in Vietnam indicated that approximately 50–80% of patients were diagnosed at Stage III or Stage IV. Late-stage detection often results in higher treatment costs, reduced chances of curative intervention, and poorer long-term outcomes.

As a result, the focus of modern oncology is no longer simply on faster treatment, but on delivering the right intervention to the right patient at the right time.

AI Is Enhancing Diagnostic Accuracy While Easing Pressure on Healthcare Systems

As patient volumes continue to rise and specialized healthcare professionals remain in short supply, AI is increasingly being adopted as a practical solution to support clinical workflows.

Major referral hospitals process enormous volumes of diagnostic imaging studies every day. Radiologists are required to interpret X-rays, CT scans, MRI examinations, PET/CT studies, and other complex datasets. Such workloads inevitably increase both time pressure and the risk of diagnostic variability.

This is where AI can deliver significant value. Rather than replacing physicians, AI serves as a clinical decision-support tool that rapidly analyzes large datasets, identifies suspicious lesions, measures tumor dimensions, compares historical scans, and generates preliminary assessments for clinician review.

According to Dr. Diep Bao Tuan, AI is already being applied across multiple stages of cancer management, including lung nodule detection on CT scans, genomic data analysis, and radiotherapy planning. In one example shared at the conference, a radiotherapy treatment plan that previously required approximately four hours of manual work could be generated within two minutes using AI-assisted systems. Final clinical decisions remain the responsibility of physicians; however, AI significantly accelerates workflows and allows specialists to focus on treatment optimization and patient care.

This capability is particularly valuable for tertiary hospitals facing growing patient demand, helping improve productivity, standardize clinical processes, and reduce diagnostic inconsistencies.

From Supportive Technology to an Integrated Component of Modern Oncology

AI is no longer confined to diagnostic applications. Its role is rapidly expanding across the entire continuum of cancer care.

A notable example is Tam Anh General Hospital, which recently established a large-scale Robotic Surgery Center to strengthen its capabilities in managing complex diseases, particularly cancer. According to hospital reports, approximately 45% of robotic-assisted procedures performed across the healthcare system are related to complex oncological cases spanning multiple specialties.

The significance of this model lies not only in robotic technology itself but also in its integration within a comprehensive clinical ecosystem. Before surgery, patients undergo evaluation using advanced diagnostic platforms, including CT, MRI, PET/CT, and specialized laboratory testing. During treatment, imaging results, laboratory findings, and clinical information are consolidated to support individualized treatment planning. Following intervention, digital monitoring tools help clinicians evaluate outcomes and detect potential recurrence at an early stage.

This reflects a broader global trend in healthcare: AI is not operating independently but is becoming a critical component of Precision Oncology, where data, technology, and medical expertise converge to improve patient outcomes and optimize care delivery.

Holistic Care Is Emerging as the New Goal of Cancer Management

Historically, treatment success was often measured by the ability to remove or control tumors. Today, leading cancer centers worldwide are adopting a broader objective: helping patients live longer while maintaining a higher quality of life.

Modern oncology, therefore, extends beyond surgery, chemotherapy, and radiation therapy. Comprehensive care increasingly incorporates nutritional management, rehabilitation services, psychological support, and proactive management of treatment-related side effects throughout the patient journey.

Within this framework, AI facilitates data integration and clinical decision-making, while robotic surgery, advanced imaging technologies, and precision medicine enhance treatment effectiveness and operational efficiency.

Experts speaking at the conference on emerging cancer treatment trends also highlighted the role of evidence-based supportive therapies, including selected applications of traditional medicine, in improving patients’ quality of life during treatment. Such approaches are not intended to replace standard medical care but rather to complement established therapies within an integrated, patient-centered care model.

Ultimately, the defining trend in oncology today is not simply the adoption of AI or the acquisition of advanced medical equipment. Instead, it is the transition from a reactive treatment model to a healthcare paradigm centered on early detection, precision intervention, and holistic care—with technology serving as the foundation for improved outcomes and more efficient use of healthcare resources.

Sources: GLOBOCAN 2022, An Ninh Thu Do Newspaper, Government News Portal, Nhan Dan Newspaper, Suc Khoe & Doi Song Newspaper, Dai Bieu Nhan Dan Newspaper.

Join PHARMED & HEALTHCARE VIETNAM 2026 to Explore the Future of Cancer Care

The rapid advancement of AI, robotic surgery, precision medicine, and integrated healthcare solutions is reshaping the global medical landscape. For healthcare providers, pharmaceutical companies, medical device manufacturers, and technology innovators, staying informed about these developments is becoming increasingly important.

PHARMED & HEALTHCARE VIETNAM 2026 will serve as a premier platform connecting stakeholders across the healthcare ecosystem, including industry leaders, medical professionals, researchers, and technology providers from Vietnam and around the world.

In addition to product showcases and technology demonstrations, the exhibition is expected to feature specialized conferences, B2B networking programs, and expert-led forums focusing on AI in healthcare, diagnostic technologies, treatment innovations, and emerging healthcare trends.

The exhibition will feature a comprehensive range of products, technologies, and services, including:

Pharmaceuticals, Functional Foods

Diagnostic Imaging Equipment

Medical Devices and Instruments

Laboratory Equipment

Cleanroom and Environmental Treatment Equipment

Physiotherapy

Orthopedic Technology

Surgical Instruments

Dental and Ophthalmology Equipment

Assistive Devices - Home Care Equipment

Beauty Equipment and Product