Artificial intelligence (AI) vs. human in hip fracture detection

Article Gastroenterology & Hepatology

Opening the black box of AI-Medicine

Aaron I. F. Poon et al.

Summary: One of the biggest challenges in utilizing artificial intelligence (AI) in medicine is the lack of trust from both physicians and patients. Improving the interpretability of machine learning (ML) algorithms is crucial in successfully implementing AI in medicine. Opening the black box in AI medicine through a stepwise approach can help build trust and acceptance, ultimately advancing the development of AI technology in healthcare.

JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY (2021)

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Article Multidisciplinary Sciences

Deep learning approaches for challenging species and gender identification of mosquito vectors

Veerayuth Kittichai et al.

Summary: The deep learning model based on the YOLO algorithm is efficient in identifying the species and gender of field-caught mosquitoes, demonstrating high performance and accuracy. The model exhibits high precision and robustness in testing, showing excellent recognition capability for small objects in specific environments.

SCIENTIFIC REPORTS (2021)

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Article Radiology, Nuclear Medicine & Medical Imaging