RESNET101 AND GOOGLENET DEEP LEARNING MODELS: COMPARING SUCCESS LEVELS IN THE HEALTH SECTOR DOI Open Access
Muhammed Akif YENİKAYA

Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Journal Year: 2024, Volume and Issue: 15(29), P. 390 - 409

Published: June 28, 2024

Artificial intelligence (AI) applications in the healthcare sector have revolutionized medical diagnosis and treatment. Advances this field provide many advantages such as early detection of diseases increasing efficiency services. In study, order to investigate usability deep learning models for tuberculosis (TB) detection, accuracy rates ResNet101 GoogLeNet are compared terms TB potential sector. The results analyses revealed that networks successful classifying chest X-ray images with without TB. addition, when success levels were analyzed, it was determined network, a rate 99.3%, showed higher score than other model considered (98.2%). These findings obtained within scope research reveal importance functionality AI increase diagnostic rates.

Language: Английский

An examination of artificial intelligence's significance in reaching the United Nations' sustainable development goals DOI Open Access
Çetin Ünen

Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Journal Year: 2025, Volume and Issue: 70, P. 1 - 10

Published: April 25, 2025

This paper assesses the role of AI as one very likely technologies that can best help in achieving Sustainable Development Goals United Nations (SDG's). stands behind revolutionary upgrades fields healthcare, agriculture, education, and ecology. relies on larger sets data uses process machine learning to accomplish diverse objectives, like improving equalizing education opportunities, even introducing sustainable agriculture. Lastly, is used address climate change. open many but at same time, they pose questions ethical problems, effects society, issue may aggravate. proposes temporary adoption stringent laws collaboration among experts research are vital ensuring not abused for benefit society. We underscore significance equality inclusivity developing AI, which, a global level, both benefits improves lives welfare all people.

Language: Английский

Citations

0

RESNET101 AND GOOGLENET DEEP LEARNING MODELS: COMPARING SUCCESS LEVELS IN THE HEALTH SECTOR DOI Open Access
Muhammed Akif YENİKAYA

Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Journal Year: 2024, Volume and Issue: 15(29), P. 390 - 409

Published: June 28, 2024

Artificial intelligence (AI) applications in the healthcare sector have revolutionized medical diagnosis and treatment. Advances this field provide many advantages such as early detection of diseases increasing efficiency services. In study, order to investigate usability deep learning models for tuberculosis (TB) detection, accuracy rates ResNet101 GoogLeNet are compared terms TB potential sector. The results analyses revealed that networks successful classifying chest X-ray images with without TB. addition, when success levels were analyzed, it was determined network, a rate 99.3%, showed higher score than other model considered (98.2%). These findings obtained within scope research reveal importance functionality AI increase diagnostic rates.

Language: Английский

Citations

0