Investigating the Potential of Collaborative Human-AI Systems to Revolutionize Decision-Making in Areas Like Medical Diagnosis, Financial Forecasting and Strategic Planning

Authors

  • Shah Syed Waqar Ahmad Department: School of Management, University: Wuhan Institute of Technology, Wuhan 430073, PR China, Email: waqarjan1010@gmail.com
  • Khumar Bibi Institute of South Asian Studies, Sichuan University (Wanjiang Campus), Email: khumarshah97@gmail.com
  • Rameez Akbar Talani Assistant professor, Department of Electrical Engineering, Quaid-e-Awam University of Engineering Science and Technology, Nawabshah, Email: rameezakbar@quest.edu.pk
  • Ramez Raja Assistant professor, Department of Mechanical Engineering, Quaid-e-Awam University of Engineering Science and Technology, Nawabshah, Email: ramezraja@quest.edu.pk

DOI:

https://doi.org/10.70670/sra.v3i1.567

Keywords:

Healthcare, Personalized Medicine, AI, Human-AI Collaboration, Patient Outcome

Abstract

Healthcare professionals can substantially improve patient results by incorporating Artificial Intelligence systems into medical practice. Effective utilization of AI benefits depends on strong connections between healthcare practitioners and their AI systems. Modern healthcare has benefited tremendously from artificial intelligence (AI) system applications. This study utilizes an extensive literature review to explain AI healthcare applications focusing on medical imaging diagnostics, virtual patient care, medical research, drug discovery, patient engagement, rehabilitation, and administrative applications. The influence of AI is evident in the identification of clinical conditions through medical imaging and diagnostic services, the management of the COVID-19 outbreak via early diagnosis, the provision of virtual patient care through AI-powered tools, the administration of electronic health records, the enhancement of patient engagement and adherence to treatment plans, the alleviation of the administrative burden on healthcare professionals, the discovery of novel drugs and vaccines, the detection of medical prescription errors, comprehensive data storage and analysis, and technology-assisted rehabilitation. The scientific proposal for AI integration in healthcare faces multiple technological and ethical challenges and social problems, which include privacy concerns, safety elements, and autonomy of patients, financial implications, informed consent requirements, accessibility points, and effectiveness rates. AI application regulation is essential to guarantee patient safety and professional accountability, build confidence levels, and promote healthcare acceptance, which leads to enhanced medical results. The framework directly tackles doubts about AI governance, ethical questions, and trust issues to facilitate its adoption for healthcare purposes. The beginning of COVID-19 brought forth a healthcare revolution through artificial intelligence, which will shape future healthcare requirements substantially.

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Published

22-03-2025

How to Cite

Shah Syed Waqar Ahmad, Khumar Bibi, Rameez Akbar Talani, & Ramez Raja. (2025). Investigating the Potential of Collaborative Human-AI Systems to Revolutionize Decision-Making in Areas Like Medical Diagnosis, Financial Forecasting and Strategic Planning. Social Science Review Archives, 3(1), 2590–2605. https://doi.org/10.70670/sra.v3i1.567