Revolutionizing Skin Cancer Diagnosis With Artificial Intelligence DOI
Wasswa Shafik

Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 167 - 194

Published: Oct. 18, 2024

A frequent cancer worldwide is skin cancer. Non-melanoma exists. Melanoma kills more than non-melanoma malignancies. Successful treatment and early diagnosis improve survival. Cancer burden prognosis vary depending on the type stage. The biopsy method used to diagnose imprecise. To treat early, onco-dermatologists must enhance diagnostic accuracy. Doctors use several tools lesions. Through image processing, AI has enhanced diagnosis. Radiology adopted artificial intelligence (AI) sooner dermatology. now accessible because of technology, AI-powered expert systems can detect early. This chapter examines using machine learning (ML) models problem automating with algorithms. study sheds light past future efforts other concerns.

Language: Английский

A review of medical tourism entrepreneurship and marketing at regional and global levels and a quick glance into the applications of artificial intelligence in medical tourism DOI

Maryam Sadat Reshadi,

Azimeh Mohammadi Chehragh

AI & Society, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

Language: Английский

Citations

1
Generative Adversarial Networks: Security, Privacy, and Ethical Considerations DOI
Wasswa Shafik

Published: Jan. 1, 2025

Language: Английский

Citations

0
Revolutionizing Skin Cancer Diagnosis With Artificial Intelligence DOI
Wasswa Shafik

Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 167 - 194

Published: Oct. 18, 2024

A frequent cancer worldwide is skin cancer. Non-melanoma exists. Melanoma kills more than non-melanoma malignancies. Successful treatment and early diagnosis improve survival. Cancer burden prognosis vary depending on the type stage. The biopsy method used to diagnose imprecise. To treat early, onco-dermatologists must enhance diagnostic accuracy. Doctors use several tools lesions. Through image processing, AI has enhanced diagnosis. Radiology adopted artificial intelligence (AI) sooner dermatology. now accessible because of technology, AI-powered expert systems can detect early. This chapter examines using machine learning (ML) models problem automating with algorithms. study sheds light past future efforts other concerns.

Language: Английский

Citations

2