AI in Healthcare: medical and socio-economic benefits and challenges

Shaheen, Mohammed Yousef

doi:10.14293/s2199-1006.1.sor-.pprqni1.v1

Cited by 18 publications

(7 citation statements)

References 16 publications

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“…Medical practitioners efficient decisions regarding pre-op, post-op care, and the surgery itself [16]. Current surgical techniques are constantly being improved and new techniques are being developed through use of surgical robotics and AI [12].…”

Section: Introductionmentioning

confidence: 99%

American public opinion on artificial intelligence in healthcare

Rojahn,

Palu,

Skiena

et al. 2023

PLoS ONE

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Billions of dollars are being invested into developing medical artificial intelligence (AI) systems and yet public opinion of AI in the medical field seems to be mixed. Although high expectations for the future of medical AI do exist in the American public, anxiety and uncertainty about what it can do and how it works is widespread. Continuing evaluation of public opinion on AI in healthcare is necessary to ensure alignment between patient attitudes and the technologies adopted. We conducted a representative-sample survey (total N = 203) to measure the trust of the American public towards medical AI. Primarily, we contrasted preferences for AI and human professionals to be medical decision-makers. Additionally, we measured expectations for the impact and use of medical AI in the future. We present four noteworthy results: (1) The general public strongly prefers human medical professionals make medical decisions, while at the same time believing they are more likely to make culturally biased decisions than AI. (2) The general public is more comfortable with a human reading their medical records than an AI, both now and “100 years from now.” (3) The general public is nearly evenly split between those who would trust their own doctor to use AI and those who would not. (4) Respondents expect AI will improve medical treatment but more so in the distant future than immediately.

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Section: Introductionmentioning

confidence: 99%

American public opinion on artificial intelligence in healthcare

Rojahn,

Palu,

Skiena

et al. 2023

PLoS ONE

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“…For example, AI technologies in health services can lead to issues such as data security, privacy, algorithmic bias, and erroneous predictions (8). Moreover, employing AI and IoT technologies in health services could lead to educational difficulties concerning access to and proficiency in using technology, trust in technology, and adaptability to technology (9,10).…”

Section: The Integration Of Chatgpt and E-health Literacymentioning

confidence: 99%

“…Primarily, the advanced natural language processing capabilities of ChatGPT afford users more efficient and effective access to health-related information. This heightened accessibility could drastically increase the quality and effectiveness of healthcare services and enrich individuals' health-related decision-making processes (8,12). Furthermore, ChatGPT has been suggested to have a significant role in health education, research, and practice (13).…”

Section: Potential Opportunities and Challengesmentioning

confidence: 99%

Integration of Chatgpt and E-Health Literacy: Opportunities, Challenges, and a Look Towards the Future

Coşkun,

Elmaoğlu,

Buran

et al. 2024

J Health Rep Technol

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Context: The integration of ChatGPT and e-health literacy, as an innovative approach to improving the accessibility and quality of healthcare services, offers the potential to strengthen access to health information and health decision-making. This integration helps individuals understand, analyze, and interpret health information more deeply while building a broad health profile. However, the potential risk of ChatGPT misdiagnosing diseases or providing inaccurate information could cause misleading guidance and prevent users from accessing information. Moreover, a ChatGPT-based system could restrict individuals' capacity to supervise and decipher their health records. Thus, while the integration of ChatGPT and e-health literacy holds promise to improve the accessibility and quality of health services, adverse aspects, such as the risk of providing misleading information and reducing user autonomy, should also be considered. Evidence Acquisition: This study provides insight into the potential, challenges, and prospects of integrating ChatGPT and e-health literacy into health services. Thus, the implication of the integration and the development of strategies for helping users better manage their health information can be explored in greater depth. Related articles on the topic were reviewed from the literature, and the results were interpreted. Results: The integration of ChatGPT with eHealth literacy harbors significant potential for substantially enhancing the accessibility and quality of health services. Using ChatGPT in health services can increase eHealth literacy, especially in health information access and health-related decision-making processes. Conclusions: In conclusion, the integration of ChatGPT and eHealth literacy carries considerable potential to improve the accessibility and quality of health services. This integration allows individuals to comprehend health data more efficiently and interpret the results more accurately.

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“…For example, the predictive power of AI in healthcare can aid in giving diagnosis to a disease the patient has never disclosed to anyone or didn't even know himself. Here, it's important to store and use this data ethically with proper consent (104).…”

Section: Technological Barriersmentioning

confidence: 99%

On AI Approaches for Promoting Maternal and Neonatal Health in Low Resource Settings: A Review

Khan

Khurshid²,

Vatsa³

et al. 2022

Front. Public Health

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A significant challenge for hospitals and medical practitioners in low- and middle-income nations is the lack of sufficient health care facilities for timely medical diagnosis of chronic and deadly diseases. Particularly, maternal and neonatal morbidity due to various non-communicable and nutrition related diseases is a serious public health issue that leads to several deaths every year. These diseases affecting either mother or child can be hospital-acquired, contracted during pregnancy or delivery, postpartum and even during child growth and development. Many of these conditions are challenging to detect at their early stages, which puts the patient at risk of developing severe conditions over time. Therefore, there is a need for early screening, detection and diagnosis, which could reduce maternal and neonatal mortality. With the advent of Artificial Intelligence (AI), digital technologies have emerged as practical assistive tools in different healthcare sectors but are still in their nascent stages when applied to maternal and neonatal health. This review article presents an in-depth examination of digital solutions proposed for maternal and neonatal healthcare in low resource settings and discusses the open problems as well as future research directions.

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AI in Healthcare: medical and socio-economic benefits and challenges

Cited by 18 publications

References 16 publications

American public opinion on artificial intelligence in healthcare

American public opinion on artificial intelligence in healthcare

Integration of Chatgpt and E-Health Literacy: Opportunities, Challenges, and a Look Towards the Future

On AI Approaches for Promoting Maternal and Neonatal Health in Low Resource Settings: A Review

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