Results 1 to 10 of about 28,239 (350)
The Renaissance of Male Infertility Management in the Golden Age of Andrology
Infertility affects nearly 186 million people worldwide and the male partner is the cause in about half of the cases. Meta-regression data indicate an unexplained decline in sperm concentration and total sperm count over the last four decades, with an ...
Aldo E. Calogero+37 more
doaj +2 more sources
Purpose: There are no published examples of a global online research collaborative in andrology. We describe the development, profile and member characteristics of the first consortium of this type, the Global Andrology Forum (GAF).
Walid El Ansari+5 more
doaj +2 more sources
Evidence regarding functional hypogonadism, previously referred to as ‘late‐onset’ hypogonadism, has increased substantially during the last 10 year.
Ilpo T Huhtaniemi+2 more
exaly +2 more sources
Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics
Artificial intelligence (AI) in medicine has gained a lot of momentum in the last decades and has been applied to various fields of medicine. Advances in computer science, medical informatics, robotics, and the need for personalized medicine have ...
Ramy Abou Ghayda+59 more
doaj +2 more sources
European Academy of Andrology guideline Management of oligo‐astheno‐teratozoospermia
Oligo‐astheno‐teratozoospermia is frequently reported in men from infertile couples. Its etiology remains, in the majority of cases, unknown with a variety of factors to contribute to its pathogenesis.
Dimitrios G Goulis+2 more
exaly +2 more sources
In 2020, the COVID‐19 pandemic led to the suspension of the annual Summer Internship at the American Center for Reproductive Medicine (ACRM). To transit it into an online format, an inaugural 6‐week 2020 ACRM Online Mentorship Program was developed ...
Ashok Agarwal+2 more
exaly +2 more sources
Artificial intelligence in andrology – fact or fiction: essential takeaway for busy clinicians
Artificial intelligence (AI) is revolutionizing the current approach to medicine. AI uses machine learning algorithms to predict the success of therapeutic procedures or assist the clinician in the decision-making process.
Aldo E Calogero+5 more
doaj +2 more sources
Purpose The recent pandemic of severe acute respiratory syndrome (SARS) due to coronavirus (CoV) 2 (SARS-CoV-2) has raised several concerns in reproductive medicine. The aim of this review is to summarize available evidence providing an official position
Donatella Paoli+2 more
exaly +2 more sources
A prospective study of variations in conventional semen parameters among local andrology laboratories [PDF]
Introduction: Wide variations in semen parameters exist among different andrology laboratories. This study sought to determine the inter- and intra-technician variations in conventional semen parameters among local andrology laboratories.
Mei Ting Lam+5 more
doaj +1 more source
Purpose Erectile dysfunction (ED) is one of the most prevalent male sexual dysfunctions. ED has been in the past mistakenly considered a purely psycho-sexological symptom by patients and doctors.
G. Corona+17 more
semanticscholar +1 more source