Limitations of the chest X-ray (CXR) have resulted in attempts to create machine learning
systems to assist clinicians and improve interpretation accuracy. An understanding of the …

The health organisation has suffered from the lack of diagnosis support systems and
physicians in India. Further, the physicians are struggling to treat many patients, and the …

In medical imaging, deep learning models can be a critical tool to shorten time-to-diagnosis
and support specialized medical staff in clinical decision making. The successful training of …

Nowadays, artificial intelligence is in the era of big data-driven manner. Machine learning
algorithms with deep neural networks as the mainstream have achieved great development …

当前人工智能的学**模式主要以数据驱动为主要手段, 以深度神经网络为主流的机器学**算法
取得了显著进展. 但是这种数据驱动的人工智能手段依然面临数据获取成本高, 可解释性弱 …

Nowadays, artificial intelligence is in the era of big data-driven manner. Machine learning
algorithms with deep neural networks as the mainstream have achieved great development …

Pneumonia stands as a potentially lethal ailment, predominantly impacting the elderly
population and occasionally leading to life-threatening outcomes. The timely identification of …

Mechanisms are provided to implement an automated medi cal imaging report generator
which receives an input medi cal image and inputs the input medical image into a machine …

This article critically analyses the process of clinical decision-making (CDM) and associated
theories that contribute to safe clinical judgement, allowing trainee advanced clinical …

This research, dedicated to develo** an accurate and efficient pneumonia detection
system from Chest X-Ray images, highlights the significance of automated tools in …