The Doctrine of Doubt: Unmasking Medical Scepticism Toward Plant-Based Healing

Introduction

The argumentation surrounding PBDs within the medical com- munity mirrors the profound and sometimes unresolvable debates seen in religious belief systems. Many healthcare professionals re- main unconvinced, despite accumulating scientific evidence from observational studies, small-scale trials, and clinical experience that demonstrates substantial health benefits of PBDs. Skeptics frequently demand definitive proof through large-scale RCTs, analogous to religious skepticism, where empirical evidence of the existence of a deity is sought but never sufficiently obtained. The resistance among physicians arises from complex socio-cultural, educational, and economic factors, perpetuating doubt and resis- tance to change [1-6]. Concurrently, technological advancements, particularly AI, are revolutionizing healthcare by objectively ana- lyzing extensive datasets to validate dietary recommendations [7- 13]. AI's sophisticated analytical capabilities increasingly confirm the superiority of PBDs in chronic disease prevention and reversal, challenging existing medical paradigms. Bethsaida Hospital, un- der the guidance of Prof. Dasaad Mulijono in Indonesia, exempli- fies how the practical implementation of PBDs, supported by AI analytics, can dramatically enhance patient outcomes, reduce the prevalence of chronic diseases, and significantly improve public health. This comprehensive examination will highlight underlying causes of disbelief, showcase compelling clinical data, propose strategic solutions, and explore the transformative role of AI in validating and advancing nutritional interventions [14-22].

Cause of Disbelief

Physicians' skepticism toward PBDs is multifaceted, primarily stemming from entrenched educational biases, cultural dietary norms, and economic interests deeply embedded within traditional medical and pharmaceutical practices. Medical education has historically emphasized pharmaceutical and procedural interventions over nutritional and lifestyle modifications, leaving many physicians inadequately informed or sceptical about diet- based interventions. Additionally, dietary advice challenges long- standing cultural food practices, making it socially difficult for patients and doctors to accept radical nutritional changes. The financial ecosystem surrounding pharmaceuticals and conventional medical procedures further reinforces scepticism, as dietary interventions threaten established economic interests by reducing dependence on medications and expensive interventions. Finally, critics repeatedly demand large-scale, long-term randomized controlled trials (RCTs) for diet-based interventions, mirroring the skepticism of religious adherents, who demand empirical, tangible evidence yet often find it insufficient to convince entrenched skeptics [1-6].

Bethsaida Hospital, Under the Leadership of Prof. Dasaad Mulijono Data

Bethsaida Hospital, led by Prof. Dasaad Mulijono, has demonstrated the extensive clinical implementation of PBDs over seven years, providing compelling real-world evidence. The hospital has documented substantial disease reversal, including regression of coronary artery sclerosis, normalization of blood pressure, improvement in blood glucose and lipid profiles, and significant weight reduction. Notably, restenosis rates post-intervention using drug-coated balloons (DCBs) combined with PBD dropped dramatically to 2%, substantially lower than the international average (10-20%). These results robustly illustrate PBD’s powerful metabolic clinical impact. Moreover, we implemented WFPBD during the COVID-19 pandemic, which saved thousands of patients from hospital admission and death.

Solutions to Overcome Skepticism

Addressing disbelief comprehensively requires:

1. Expanded dissemination of robust clinical outcomes and patient testimonials through conferences, journals, and accessible public platforms.

2. Systematic integration of nutrition and lifestyle medicine curricula into undergraduate and postgraduate medical training programs to establish foundational knowledge.

3. Collaboration between nutrition experts, physicians, and policymakers to create evidence-based guidelines incorporating PBDs into standard clinical practices.

4. Financial incentives and insurance policy reforms that promote preventive healthcare measures, including dietary interventions, to counterbalance the pharmaceutical-dominated economic model.

5. Public awareness campaigns highlighting clinical successes and leveraging influential medical figures to champion dietary and lifestyle changes.

6. Implementation and promotion of AI-driven analytic frameworks to objectively assess, validate, and communicate the effectiveness of dietary interventions at the institutional and national levels.

7. Encouraging cross-disciplinary research collaborations to produce comprehensive, large-scale trials and longitudinal studies that validate the long-term effectiveness of PBDs.

Role of AI

The potential of AI in validating dietary efficacy is profound. By aggregating and analyzing large-scale health databases and clinical studies, AI systems provide unbiased, precise nutritional recommendations tailored to individual patient profiles. Bethsaida Hospital has already demonstrated improved patient adherence, enhanced clinical outcomes, and provided empirical validation to skeptics. AI’s ability to continuously learn and refine recommendations positions it uniquely to bridge the gap between skepticism and clinical reality [23-26].

Conclusion

The persistent skepticism toward PBDs among physicians highlights entrenched educational, cultural, and economic influences, closely mirroring the deep-rooted resistance often seen in theological debates. Comprehensive solutions that involve educational reform, policy adjustments, and the extensive dissemination of validated clinical outcomes are crucial in overcoming this resistance. The compelling evidence from Bethsaida Hospital, combined with powerful validation from AI technologies, provides a robust and objective foundation for shifting medical practice toward preventive, lifestyle-based medicine. Embracing these strategies promises significant advancements in patient health outcomes and a transformative impact on global healthcare paradigms.

References

1. Alcorta, A., Porta, A., Tárrega, A., Alvarez, M. D., & Vaquero, M. P. (2021). Foods for plant-based diets: Challenges and innovations. Foods, 10(2), 293.
2. Wang, T., Masedunskas, A., Willett, W. C., & Fontana, L.  (2023).  Vegetarian  and  vegan  diets:  benefits  and drawbacks. European heart journal, 44(36), 3423-3439.
3. Storz, M. A. (2018). Is there a lack of support for whole-food, plant-based diets in the medical community?. The permanente journal, 23, 18-068.
4. Tuso, P. J., Ismail, M. H., Ha, B. P., & Bartolotto, C. (2013). Nutritional update for physicians: plant-based diets. The Permanente Journal, 17(2), 61.
5. Rickerby, A., & Green, R. (2024). Barriers to adopting a plant-based diet in high-income countries: a systematic review. Nutrients, 16(6), 823.
6. Viroli, G., Kalmpourtzidou, A., & Cena, H. (2023). Exploring benefits and barriers of plant-based diets: health, environmental impact, food accessibility and acceptability. Nutrients, 15(22), 4723.
7. Sosa-Holwerda, A., Park, O. H., Albracht-Schulte, K., Niraula, S., Thompson, L., & Oldewage-Theron, W. (2024). The role of artificial intelligence in nutrition research: a scoping review. Nutrients, 16(13), 2066.
8. Kassem, H., Beevi, A. A., Basheer, S., Lutfi, G., Cheikh Ismail, L., & Papandreou, D. (2025). Investigation and assessment of AI’s role in nutrition—an updated narrative review of the evidence. Nutrients, 17(1), 190.
9. Singer, P., Robinson, E., & Raphaeli, O. (2024). The future of artificial intelligence in clinical nutrition. Current Opinion in Clinical Nutrition & Metabolic Care, 27(2), 200-206.
10. Theodore Armand, T. P., Nfor, K. A., Kim, J. I., & Kim, H.C. (2024). Applications of artificial intelligence, machine learning, and deep learning in nutrition: A systematic review. Nutrients, 16(7), 1073.
11. Bond, A., Mccay, K., & Lal, S. (2023). Artificial intelligence & clinical nutrition: What the future might have in store. Clinical nutrition ESPEN, 57, 542-549.
12. Atwal, K. (2024). Artificial intelligence in clinical nutrition and dietetics: A brief overview of current evidence. Nutrition in Clinical Practice, 39(4), 736-742.
13. Barker, L. A., Moore, J. D., & Cook, H. A. (2024). Generative artificial intelligence as a tool for teaching communication in nutrition and dietetics education—a novel education innovation. Nutrients, 16(7), 914. 2024 Mar 22;16(7):914. doi: 10.3390/nu16070914. PMID: 38612948; PMCID: PMC11013049.
14. Thompson, A. S., Tresserra-Rimbau, A., Karavasiloglou, N., Jennings, A., Cantwell, M., Hill, C., ... & Kühn, T. (2023). Association of healthful plant-based diet adherence with risk of mortality and major chronic diseases among adults in the UK. JAMA network open, 6(3), e234714-e234714.
15. Peña-Jorquera, H., Cid-Jofré, V., Landaeta-Díaz, L., Petermann-Rocha, F., Martorell, M., Zbinden-Foncea, H., ... & Cristi-Montero, C. (2023). Plant-based nutrition: Exploring health benefits for atherosclerosis, chronic diseases, and metabolic syndrome—A comprehensive review. Nutrients, 15(14), 3244.
16. Katz, D. L. (2019). Plant-based diets for reversing disease and saving the planet: past, present, and future. Advances in Nutrition, 10, S304-S307.
17. Tuso, P. J., Ismail, M. H., Ha, B. P., & Bartolotto, C. (2013). Nutritional update for physicians: plant-based diets. The Permanente Journal, 17(2), 61.
18. Yuan, L., Jiang, Q., Zhai, Y., Zhao, Z., Liu, Y., Hu, F., ... & Sun, J. (2024). Association between plant-based diet and risk of chronic diseases and all-cause mortality in centenarians in China: A cohort study. Current Developments in Nutrition, 8(1), 102065.
19. Landry, M. J., & Ward, C. P. (2024). Health benefits of a plant- based dietary pattern and implementation in healthcare and clinical practice. American journal of lifestyle medicine, 18(5), 657-665.
20. Almuntashiri, S. A., Alsubaie, F. F., & Alotaybi, M. (2025). Plant-based diets and their role in preventive medicine: A systematic review of evidence-based insights for reducing disease risk. Cureus, 17(2).
21. Key, T. J., Papier, K., & Tong, T. Y. (2022). Plant-based diets and long-term health: findings from the EPIC-Oxford study. Proceedings of the Nutrition Society, 81(2), 190-198.
22. Bansal, S., Connolly, M., & Harder, T. (2022). Impact of a whole-foods, plant-based nutrition intervention on patients living with chronic disease in an underserved community. American journal of lifestyle medicine, 16(3), 382-389.
23. Sandri, E., Cerdá Olmedo, G., Piredda, M., Werner, L. U., & Dentamaro, V. (2025). Explanatory AI predicts the dietadopted based on nutritional and lifestyle habits in the Spanish population. European Journal of Investigation in Health, Psychology and Education, 15(2), 11.
24. Tachie, C., Tawiah, N. A., & Aryee, A. N. (2023). Using machine learning models to predict the quality of plant-based foods. Current Research in Food Science, 7, 100544.
25. Kuhl, E. (2025). AI for food: accelerating and democratizingdiscovery and innovation. npj Science of Food, 9(1), 82.
26. Aït-Kaddour, A., Hassoun, A., Tarchi, I., Loudiyi, M., Boukria, O., Cahyana, Y., ... & Khwaldia, K. (2024). Transforming plant-based waste and by-products into valuable products using various “Food Industry 4.0” enabling technologies: A literature review. Science of the Total Environment, 955, 176872.