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

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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Publication Details

Journal
Social science review archives.
Published
2025-03-22
DOI
https://doi.org/10.70670/sra.v3i1.567
Primary Topic
Big Data and Business Intelligence
Type
article
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article

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

R. Raja, Salman Ahmad, Khumar Bibi, Rameez Akbar Talani
Social science review archives.
Big Data and Business Intelligence
article

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

R. Raja, Salman Ahmad, Khumar Bibi, Rameez Akbar Talani
article en

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.

Social science review archives.Vol. 3(1)
Wuhan University of Technology (CN), Quaid-e-Awam University of Engineering, Science and Technology (PK), South Asian University (IN), Wuhan Institute of Technology (CN)
Openalex Percentile: Top 90%
Big Data and Business Intelligence
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