An Integrated Smart Pond Water Quality Monitoring and Fish Farming Recommendation Aquabot System.

The integration of cutting-edge technologies such as the Internet of Things (IoT), robotics, and machine learning (ML) has the potential to significantly enhance the productivity and profitability of traditional fish farming. Farmers using traditional fish farming methods incur enormous economic costs owing to labor-intensive schedule monitoring and care, illnesses, and sudden fish deaths. Another ongoing issue is automated fish species recommendation based on water quality.

Extraction of Supernumerary Nasal Tooth by Endoscopic Approach.

The occurrence of the supernumerary tooth in the nasal cavity is uncommon. If not diagnosed and treated early, it may lead to various complications. Nasal endoscopy not only helps in proper diagnosis but also is an effective approach towards the extraction of the nasal tooth.

Minimally Invasive Endoscopic Approach towards Management of Frontoethmoidal Mucocoele with Lateral Displacement of Eyeball and Proptosis - A Case Report.

Rationale: Mucocoeles of paranasal sinuses are expansile and destructive lesions which can present with a variety of symptoms. If not treated early, they may lead to various complications.

Patient Concerns: This report presents a case of a 26-year-old male patient with complaints of swelling of the left eye and double vision for 18 months.

Ensemble of ROI-based convolutional neural network classifiers for staging the Alzheimer disease spectrum from magnetic resonance imaging.

Patches from three orthogonal views of selected cerebral regions can be utilized to learn convolutional neural network (CNN) models for staging the Alzheimer disease (AD) spectrum including preclinical AD, mild cognitive impairment due to AD, and dementia due to AD and normal controls. Hippocampi, amygdalae and insulae were selected from the volumetric analysis of structured magnetic resonance images (MRIs). Three-view patches (TVPs) from these regions were fed to the CNN for training.

Virtual bronchoscopy in the era of multi-detector computed tomography: Is there any reality?

Virtual bronchoscopy, in conjunction with axial and MPR MDCT images, can enhance diagnostic accuracy of tracheo-bronchial endoluminal pathologies. We describe a few cases highlighting the utility of virtual bronchoscopy in the diagnosis of varied tracheo-bronchial pathologies encountered in the setting of a tertiary care Armed Forces Hospital of India.