#AIinHealthcare

A landmark achievement in fertility medicine has been announced as artificial intelligence is credited with helping a couple conceive after 18 years of unsuccessful attempts—a result that could reshape options for millions facing male infertility worldwide. The couple, who struggled with repeated in vitro fertilization (IVF) failures due to the husband’s azoospermia, a severe condition where no measurable sperm are present in semen, finally found success at the Columbia University Fertility Center thanks to a pioneering AI-powered solution known as the STAR method. The case represents the first documented pregnancy enabled by this technology, igniting a new conversation about AI’s growing role in reproductive health (CNN).

Artificial intelligence was once expected to render radiologists obsolete, but emerging research reveals a different story: AI is powering a new era of efficiency in medical imaging, not replacing the specialists at its heart. Far from facing career extinction, radiologists — especially at leading institutions like the Mayo Clinic — are embracing advanced AI tools to deliver faster, more accurate, and more nuanced patient care, according to a detailed report by The New York Times (nytimes.com).

The US Food and Drug Administration (FDA) is engaging in active discussions with technology company OpenAI as part of a broader push to modernize drug evaluation with artificial intelligence. According to recent reporting by Wired, such collaboration could mark a pivotal shift in how new medicines are reviewed—potentially reducing the time it takes to bring life-saving drugs to market, and setting global trends that are closely watched in Thailand and across Asia Wired.