Comprehensive geriatric assessment and palliative care.

The geriatric vision of palliative care is based on a multidisciplinary, patient-centered approach, looking for a balance between human dignity and medical treatments with a particular focus on the social and ethical aspects. In order to develop the best care models, there is a rising need for a tighter collaboration of all the involved players (i.e.

Gastric Cancer Image Classification: A Comparative Analysis and Feature Fusion Strategies.

Gastric cancer is the fifth most common and fourth deadliest cancer worldwide, with a bleak 5-year survival rate of about 20%. Despite significant research into its pathobiology, prognostic predictability remains insufficient due to pathologists' heavy workloads and the potential for diagnostic errors. Consequently, there is a pressing need for automated and precise histopathological diagnostic tools.

YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection.

Malaria is a potentially fatal infectious disease caused by the parasite. The mortality rate can be significantly reduced if the condition is diagnosed and treated early. However, in many underdeveloped countries, the detection of malaria parasites from blood smears is still performed manually by experienced hematologists.

Taking a Breath: A Systematic Approach to the Development of an Altered Airway eLearning Module by Unit Council Nurses.

After a needs assessment for care of patients with altered airways was performed, gaps in educational materials were identified and hospital learning management system educational resources were created/updated. Frontline nurses and clinical and administrative leaders developed four modules to enhance the care of patients with altered airways. This article describes how professional development specialists could teach nurses how to develop clinical educational modules for specialized populations.

On The Potential of Image Moments for Medical Diagnosis.

Medical imaging is widely used for diagnosis and postoperative or post-therapy monitoring. The ever-increasing number of images produced has encouraged the introduction of automated methods to assist doctors or pathologists. In recent years, especially after the advent of convolutional neural networks, many researchers have focused on this approach, considering it to be the only method for diagnosis since it can perform a direct classification of images.