AI Medical Compendium Journal:
European review for medical and pharmacological sciences

Showing 21 to 30 of 31 articles

Generative models for predicting chemical composition of gallstones.

European review for medical and pharmacological sciences
OBJECTIVE: As we know, gallstones are a gallbladder disease with high incidence around the world. As the population has aged and living habits have changed, the incidence of the disease is increasing year by year. Gallstones are mainly classified int...

Automated detection of diabetic retinopathy using machine learning classifiers.

European review for medical and pharmacological sciences
OBJECTIVE: Diabetic Retinopathy (DR) is a highly threatening microvascular complication of diabetes mellitus. Diabetic patients must be screened annually for DR; however, it is practically not viable due to the high volume of patients, lack of resour...

New perspectives in the prediction of postoperative complications for high-risk ulcerative colitis patients: machine learning preliminary approach.

European review for medical and pharmacological sciences
OBJECTIVE: Patients with acute severe and medical refractory ulcerative colitis have a high risk of postoperative complications after total abdominal colectomy (TAC). The objective of this retrospective study is to use machine learning to analyze and...

Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2.

European review for medical and pharmacological sciences
Researchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARS-CoV-19 through existing data that reveal the SARS's cause. Artificial intelligence (AI) learning models can be created to predict drug s...

Deep learning applications to combat the dissemination of COVID-19 disease: a review.

European review for medical and pharmacological sciences
Recent Coronavirus (COVID-19) is one of the respiratory diseases, and it is known as fast infectious ability. This dissemination can be decelerated by diagnosing and quarantining patients with COVID-19 at early stages, thereby saving numerous lives. ...

Machine learning prediction on number of patients due to conjunctivitis based on air pollutants: a preliminary study.

European review for medical and pharmacological sciences
OBJECTIVE: A prediction of the number of patients with conjunctivitis plays an important role in providing adequate treatment at the hospital, but such accurate predictive model currently does not exist. The current study sought to use machine learni...

Artificial intelligence technology for diagnosing COVID-19 cases: a review of substantial issues.

European review for medical and pharmacological sciences
Today, the world suffers from the rapid spread of COVID-19, which has claimed thousands of lives. Unfortunately, its treatment is yet to be developed. Nevertheless, this phenomenon can be decelerated by diagnosing and quarantining patients with COVID...

Role of 5G-powered remote robotic ultrasound during the COVID-19 outbreak: insights from two cases.

European review for medical and pharmacological sciences
The 2019 Novel Coronavirus disease (COVID-19) broke out in Wuhan, China in December 2019 and spread throughout the world. Early screening and early diagnosis play key roles in prevention and management of the epidemic. Attention should also be paid t...

Artificial intelligence: a disruptive tool for a smarter medicine.

European review for medical and pharmacological sciences
OBJECTIVE: Although highly successful, the medical R&D model is failing at improving people's health due to a series of flaws and defects inherent to the model itself. A new collective intelligence, incorporating human and artificial intelligence (AI...

Identification of prognostic immune-related signature predicting the overall survival for colorectal cancer.

European review for medical and pharmacological sciences
OBJECTIVE: The morbidity and mortality of patients with colorectal cancer, one of the most common malignant tumors worldwide, is steadily increasing. The aim of this study was to investigate the association between prognostic immune-related gene prof...