Artificial intelligence (AI) holds profound potential to reshape public health. Although its application accelerates threat detection and targeted interventions, the rapid deployment has outpaced the regulatory, validation, and equity safeguards standard to traditional health interventions.
In a recent analytic essay, Dr. Terry Adirim from the Department of Pediatrics and the Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, and
CAR T cell therapy, which involves genetically modifying a patient’s own immune cells to fight their cancer, is a technique that has shown great promise, especially against blood cancers. But currently, only about 4% of patients with advanced or metastatic cancer in the United States are candidates for CAR T therapy, and closer to 3% will actually benefit, according to one recent analysis.
Diabetes is one of the most common chronic diseases, affecting around 66 million adults in Europe - a figure projected to rise to more than 72 million by 2050. For people with type 1 diabetes, keeping glucose levels within a safe range requires continuous monitoring and careful insulin management. Yet even with experience and careful treatment, unexpected fluctuations can occur, potentially leading to hypoglycaemia or hyperglycaemia.
Colonoscopies are one of the most effective ways to prevent colorectal cancer, which is surging among young adults in the U.S. Yet, the quality of each procedure can vary substantially from one physician to another. As a result, medical societies recommend routinely reviewing every colonoscopist - something that’s challenging and time-consuming for practices to implement.
Artificial intelligence (AI) may help radiologists identify subtle signs of breast cancers that are missed during routine mammograms, and some AI systems may even identify patterns associated with an increased risk of cancer before it becomes visible on a mammogram, but there are still many significant limitations, according to a review led by investigators at the UCLA Health Jonsson Comprehensive Cancer Center.
Mayo Clinic researchers tested an approach that uses artificial intelligence (AI) to help people without previous ultrasound experience capture heart images and identify patients who may have a common and serious heart valve condition. In a study published in JAMA Cardiology and presented at the 2026 ESC Congress, after four hours of training, novice users were able to
The recent flood of Artificial Intelligence (AI) models and content has undoubtedly brought along an unwelcome bug from the human-made content it scrapes from: bias. AI has been noted to form, copy, and amplify harmful stereotypes of already marginalized groups. This phenomenon has far reaching effects as AI becomes a normal part of everyday life.