Simple Summary This study investigates the latest achievements, challenges, and future
research directions of deep learning techniques for lung cancer and pulmonary nodule …

Thoracic diseases refer to disorders that affect the lungs, heart, and other parts of the rib
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …

Background Artificial intelligence aided tumor segmentation has been applied in various
medical scenarios and showed effectiveness in helping physicians observe the potential …

Simple Summary Pulmonary nodules are considered a sign of bronchogenic carcinoma,
detecting them early will reduce their progression and can save lives. Lung cancer is the …

This study aimed to assess the performance of an artificial intelligence (AI) model for
predicting clinical pregnancy using enhanced inner cell mass (ICM) and trophectoderm (TE) …

Background and objective Artificial intelligence (AI) is widely applied in medical decision
support systems. AI also plays an essential role in snakebite identification (SI). To date, no …

Background Asbestosis is a common pneumoconiosis caused by long-term asbestos
exposure. Analysis of the burden of asbestosis would help in creating informed public health …

Respiratory diseases such as Asthma, COVID-19, etc., require preventive and precautionary
measures. Due to the lack of medical treatment for the masses, researchers are currently …

Background Visual electrophysiology is an objective visual function examination widely
used in clinical work and medical identification that can objectively evaluate visual function …

Recently, lung cancer is observed as the most deadly disease throughout the world with a
high mortality rate. The survival rate with lung cancer is minimal due to the difficulty in …