Advantages and pitfalls in utilizing artificial intelligence for crafting medical examinations: a medical education pilot study with GPT-4.

Background: The task of writing multiple choice question examinations for medical students is complex, timely and requires significant efforts from clinical staff and faculty. Applying artificial intelligence algorithms in this field of medical education may be advisable.

Methods: During March to April 2023, we utilized GPT-4, an OpenAI application, to write a 210 multi choice questions-MCQs examination based on an existing exam template and thoroughly investigated the output by specialist physicians who were blinded to the source of the questions.

Hardware deployment of deep learning model for classification of breast carcinoma from digital mammogram images.

Cancer is an illness that instils fear in many individuals throughout the world due to its lethal nature. However, in most situations, cancer may be cured if detected early and treated properly. Computer-aided diagnosis is gaining traction because it may be used as an initial screening test for many illnesses, including cancer.

Effects of Active Compounds of Nigella sativa in COVID-19: A Narrative Review.

Background: SARS-CoV-2 infection that led to the COVID-19 pandemic has changed human health and the economy globally. SARS CoV-2 is a type of Coronaviruses that has caused pneumonia and its complications with many deaths over the past two years. The use of hydroxychloroquine and chloroquine, accepted as generally safe for patients with autoimmune diseases or malaria, was attempted in many trials for COVID-19 treatment.

Deep Convolutional Neural Network for Melanoma Detection using Dermoscopy Images.

Developing a fast and accurate classifier is an important part of a computer-aided diagnosis system for skin cancer. Melanoma is the most dangerous form of skin cancer which has a high mortality rate. Early detection and prognosis of melanoma can improve survival rates.

Radiation Induced Demyelination in Cervical Spinal Cord of the Head and Neck Cancer Patients after Receiving Radiotherapy.

Background: Cervical spinal cord is important and radiosensitive. It is the most critical organ for the head and neck (H&N) cancer patients during radiotherapy. If the delivered dose to the cord is more than tolerance dose, demyelination may occur.