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Journal of Multidisciplinary Healthcare
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- Volume 19, 2026 (247)
- Volume 18, 2025 (620)
- Volume 17, 2024 (536)
- Volume 16, 2023 (392)
- Volume 15, 2022 (249)
- Volume 14, 2021 (335)
- Volume 13, 2020 (205)
- Volume 12, 2019 (106)
- Volume 11, 2018 (71)
- Volume 10, 2017 (48)
- Volume 9, 2016 (70)
- Volume 8, 2015 (58)
- Volume 7, 2014 (63)
- Volume 6, 2013 (47)
- Volume 5, 2012 (39)
- Volume 4, 2011 (49)
- Volume 3, 2010 (23)
- Volume 2, 2009 (8)
- Volume 1, 2008 (16)
Journal Articles:
- Allied Health Matters: Showcasing Value, Driving Impact (6)
- Harnessing Database Mining for Advancing Clinical Practice: From Insights to Therapeutic Innovation (10)
- Cybersecurity in Healthcare: Ensuring Patient Safety and Data Privacy (2)
- Children with Disabilities and Chronic Diseases: Perspectives, Challenges, and Opportunities (6)
- A Multidisciplinary Approach to Reducing Suicide Risk Among Adolescents: Strategies, Challenges, and Solutions (3)
- Building a Sustainable Allied Health Workforce: Recruitment, Retention, and Resilience (1)
- Exploring the Intersection of Internet Addiction and Pain Syndromes (1)
- Advancing Pharmacogenetics in Limited Resources Countries: Affordable Testing Methods, Genetic Variability, and Clinical Implications (1)
- Unraveling AI: The Use of Interactive AI, Conversational AI, and Generative AI in Teaching and Learning or Health and Care (1)
- Crosstalk in multidisciplinary approaches for evidence-based medicine (6)
Artificial Intelligence Readiness, Ethics, and Human-Centered Transformation in Multidisciplinary Healthcare
Artificial intelligence is rapidly reshaping healthcare delivery, education, administration, and decision support across a wide range of disciplines. From predictive analytics and clinical documentation tools to patient education platforms, remote monitoring systems, and generative AI applications, digital innovations are increasingly embedded in everyday healthcare practice. As adoption accelerates, there is growing need for rigorous multidisciplinary scholarship that examines how AI is being understood, implemented, evaluated, and governed across diverse healthcare settings and professional groups.