Integrative Analysis of Genomic Data Types and AI Methodologies in Healthcare Applications

Rahem, Rami A. Abdel; Al-Akayleh, Faisal

doi:10.1109/iccr61006.2024.10532802

2024 2nd International Conference on Cyber Resilience (ICCR) 2024

DOI: 10.1109/iccr61006.2024.10532802

|View full text |Cite

Integrative Analysis of Genomic Data Types and AI Methodologies in Healthcare Applications

Rami A. Abdel Rahem,

Faisal Al-Akayleh

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Artificial intelligence in healthcare: A focus on the best practices

Haddiya,

Ramdani

2024

ITM Web Conf.

View full text Add to dashboard Cite

The healthcare sector is undergoing a significant transformation driven by Artificial Intelligence (AI). AI applications in clinical practice offer a multitude of benefits for patient care, including earlier and more accurate diagnoses, personalized treatment planning, and improved access to information through virtual assistants. However, alongside this potential, challenges and ethical considerations remain. Data privacy, algorithmic bias, transparency of AI decision-making, and responsible use are crucial areas that require careful attention. Our presentation emphasizes the importance of establishing robust best practices within healthcare institutions and fostering collaboration among clinicians, data scientists, patients, and policymakers. Through careful consideration and ongoing refinement of AI technologies, we can leverage its potential to improve patient outcomes while upholding ethical standards and public health priorities.

show abstract

Artificial intelligence in healthcare: A focus on the best practices

Haddiya,

Ramdani

2024

ITM Web Conf.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Integrative Analysis of Genomic Data Types and AI Methodologies in Healthcare Applications

Cited by 1 publication

References 55 publications

Artificial intelligence in healthcare: A focus on the best practices

Artificial intelligence in healthcare: A focus on the best practices

Contact Info

Product

Resources

About