TY  - JOUR
T1  - The Future of Psychosocial Healthcare Research: Integrating Artificial Intelligence, Equity Science, Behavioral Medicine, and Human-Centered Care
A1  - Lina Hassan
A1  - Omar Khalaf
A1  - Reem Jaber
A1  - Rania Mostafa
JF  - International Journal of Social and Psychological Aspects of Healthcare
JO  - Int J Soc Psychol Asp Healthc
SN  - 3108-4818
Y1  - 2026
VL  - 6
IS  - 2
DO  - 10.51847/F9USg3CUjK
SP  - 220
EP  - 234
N2  - Psychosocial healthcare research is entering a period in which artificial intelligence, continuous behavioral measurement, adaptive intervention, equity science, and digitally mediated care are developing simultaneously rather than independently. Their convergence creates opportunities to measure behavior in everyday settings, tailor support dynamically, augment communication, and make social context more visible to care systems. It also creates substantial risks if computational performance is mistaken for psychological understanding, behavioral prediction for clinical benefit, personalization for patient-centeredness, or increased data availability for equitable representation. This Horizon Review examines emerging signals across digital psychiatry, generative artificial intelligence, multimodal behavioral data, precision behavioral medicine, digital phenotyping, algorithmic fairness, social determinants, and relational care. The scan treats future horizons as evidence-bounded research trajectories rather than forecasts and distinguishes observed developments from proposed convergence and weak signals. We propose that future psychosocial healthcare research should prioritize four forms of validity simultaneously: empirical validity, relational validity, equity validity, and implementation validity. Nearer-term research is likely to center on bounded artificial intelligence augmentation and improved governance; intermediate horizons may connect multimodal sensing with adaptive behavioral support; longer-term possibilities involve increasingly continuous and hybrid human-digital systems but remain substantially uncertain. Progress will depend less on maximizing technological capability in isolation than on determining when computational outputs remain psychologically interpretable, clinically useful, relationally acceptable, structurally fair, and feasible within real health systems.
UR  - https://smerpub.com/article/the-future-of-psychosocial-healthcare-research-integrating-artificial-intelligence-equity-science-yrrnikrsmztq6fp
ER  -