The Role of Artificial Intelligence and Machine Learning in Healthcare

Artificial Intelligence (AI) and Machine Learning (ML) can potentially revolutionise healthcare systems by improving diagnostic and treatment procedures, thereby enhancing patients' health. Based on big data, these technologies can find correlations that human eyes cannot see. Doing so may lead to earlier diagnoses, better treatments, and more effective drug development. However, the use of AI and ML in the healthcare sector cannot succeed without addressing issues of ethics and professionalism, such as data privacy and inductive bias. To protect patients, it is important that these technologies are designed and used ethically, ensuring that patients have control over their deployment. With the continual development of AI and ML technologies, it is necessary to invest more in research and development to tackle their potential issues.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-12-20
DOI
https://doi.org/10.36948/ijfmr.2024.v06i06.33477
Primary Topic
Healthcare Systems and Public Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Role of Artificial Intelligence and Machine Learning in Healthcare

Nana Adwoa Konadu Dsane -, Richard Aggrey -, Bright Ansah Adjei -, Karl Osei Afoduo - et al.
International Journal For Multidisciplinary Research
Healthcare Systems and Public Health
article

The Role of Artificial Intelligence and Machine Learning in Healthcare

Nana Adwoa Konadu Dsane -, Richard Aggrey -, Bright Ansah Adjei -, Karl Osei Afoduo -, Loretta Naa Oye Holdbrooke -
article en

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) can potentially revolutionise healthcare systems by improving diagnostic and treatment procedures, thereby enhancing patients' health. Based on big data, these technologies can find correlations that human eyes cannot see. Doing so may lead to earlier diagnoses, better treatments, and more effective drug development. However, the use of AI and ML in the healthcare sector cannot succeed without addressing issues of ethics and professionalism, such as data privacy and inductive bias. To protect patients, it is important that these technologies are designed and used ethically, ensuring that patients have control over their deployment. With the continual development of AI and ML technologies, it is necessary to invest more in research and development to tackle their potential issues.

International Journal For Multidisciplinary ResearchVol. 6(6)
Openalex Percentile: Top 64%
Healthcare Systems and Public Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.