Artificial intelligence is rapidly transforming health care. AI systems can now detect diabetic eye disease from retinal photos and analyze CT images for signs of early-stage lung cancers and stroke.
Artificial intelligence (AI) is rapidly transforming healthcare. AI systems can now detect diabetic eye disease from retinal photos and analyze CT images for signs of early-stage lung cancers and ...
GPT-4o achieved ICC/CCC of 0.815/0.866 versus in-person SALT scoring and 0.833/0.817 versus image-based scoring, while expert ...
Objective Autoimmune rheumatic diseases, including rheumatoid arthritis (RA), have recently been associated with an increased risk of cancer, particularly head and neck cancer (HNC). This study aimed ...
Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...
Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...
Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...
As DOD increasingly relies on artificial intelligence, a question has arisen: How can one be sure that the AI models are ...
Poultry litter (PL) has been suggested as a soil amendment to enhance soil fertility and general soil health in intensively cultivated agroecosystems. However, continuou ...
The Development Impact Group’s Artificial Intelligence Team is pioneering the next frontier of impact evaluation and development programming. By leveraging AI and machine learning, our applied AI lab ...
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