Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector

Abstract

Artificial intelligence (AI) has the potential to make substantial progress toward the goal of making healthcare more personalized, predictive, preventative, and interactive. We believe AI will continue its present path and ultimately become a mature and effective tool for the healthcare sector. Besides this AI-based systems raise concerns regarding data security and privacy. Because health records are important and vulnerable, hackers often target them during data breaches. The absence of standard guidelines for the moral use of AI and ML in healthcare has only served to worsen the situation. There is debate about how far artificial intelligence (AI) may be utilized ethically in healthcare settings since there are no universal guidelines for its use. Therefore, maintaining the confidentiality of medical records is crucial. This study enlightens the possible drawbacks of AI in the implementation of healthcare sector and their solutions to overcome these situations. Graphical Abstract

Role of artificial intelligence in neuromuscular and electrodiagnostic medicine

“…Accordingly, it is important that AI should serve as a clinical decision‐support tool rather than a replacement for human expert judgment 7 . Providers should be adequately trained in the clinical application of AI technologies and continuously monitor the performance of these to ensure optimal efficacy and risk minimization 8 …”

“…7 Providers should be adequately trained in the clinical application of AI technologies and continuously monitor the performance of these to ensure optimal efficacy and risk minimization. 8 3 | PATIENT/PUBLIC ASPECTS…”

Artificial Intelligence and Technology Collaboratories: Innovating aging research and Alzheimer's care

“…Clinician and health care administrator skepticism about AI's utility slows adoption, affecting investor enthusiasm and the perceived value of these technologies. 5,19 The shortage of AI engineers skilled in clinical applications and legal liabilities associated with new AI technologies also slows progress, along with ethical concerns about reinforcing health inequities. 19,20 Older adults and caregivers often feel uncomfortable or distrustful 21 toward AI and digital technologies.…”

“…5,19 The shortage of AI engineers skilled in clinical applications and legal liabilities associated with new AI technologies also slows progress, along with ethical concerns about reinforcing health inequities. 19,20 Older adults and caregivers often feel uncomfortable or distrustful 21 toward AI and digital technologies. This is partly due to their limited involvement in technology research and design, leading to a scarcity of solutions that consider aging-specific factors like changes in gait, sleep, and speech.…”

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“…Another drawback of AI in orthopedics is the lack of interpretability due to limited human related data. AI algorithms often work as a “black box”, meaning that it is difficult to understand how they arrive at their conclusions [ 47 ]. This can make it difficult for healthcare providers to trust the results and make informed decisions.…”