Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Background and objectives Artificial intelligence (AI) has branched out to various
applications in healthcare, such as health services management, predictive medicine …
applications in healthcare, such as health services management, predictive medicine …
Quo vadis artificial intelligence?
The study of artificial intelligence (AI) has been a continuous endeavor of scientists and
engineers for over 65 years. The simple contention is that human-created machines can do …
engineers for over 65 years. The simple contention is that human-created machines can do …
Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images
Rapid treatment protocols such as X-ray and CT scans have played a crucial role in the
diagnosis of tuberculosis (TB infection). Automatic detection of CXR is required to speed up …
diagnosis of tuberculosis (TB infection). Automatic detection of CXR is required to speed up …
A medical multimodal large language model for future pandemics
Deep neural networks have been integrated into the whole clinical decision procedure
which can improve the efficiency of diagnosis and alleviate the heavy workload of …
which can improve the efficiency of diagnosis and alleviate the heavy workload of …
[HTML][HTML] Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade
Mental health is a basic need for a sustainable and develo** society. The prevalence and
financial burden of mental illness have increased globally, and especially in response to …
financial burden of mental illness have increased globally, and especially in response to …
Transfer learning techniques for medical image analysis: A review
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework
The clinical efficacy and safety of a drug is determined by its molecular properties and
targets in humans. However, proteome-wide evaluation of all compounds in humans, or …
targets in humans. However, proteome-wide evaluation of all compounds in humans, or …
A comprehensive systematic review of YOLO for medical object detection (2018 to 2023)
YOLO (You Only Look Once) is an extensively utilized object detection algorithm that has
found applications in various medical object detection tasks. This has been accompanied by …
found applications in various medical object detection tasks. This has been accompanied by …
U-net and its variants for medical image segmentation: A review of theory and applications
U-net is an image segmentation technique developed primarily for image segmentation
tasks. These traits provide U-net with a high utility within the medical imaging community …
tasks. These traits provide U-net with a high utility within the medical imaging community …
Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images
The lungs are a vital organ of the human body. Malfunctioning of the lungs caused a direct
threat to life. In recent years the world has witnessed massive medical insufficiency to …
threat to life. In recent years the world has witnessed massive medical insufficiency to …