The European Union’s recently adopted Artificial Intelligence (AI) Act is the first comprehensive legal framework specifically on AI. This is particularly important for the healthcare domain, as other existing harmonisation legislation, such as the…
Continue Reading
Artificial intelligence (AI) has been extensively researched in medicine, but its practical application remains limited. Meanwhile, there are various disparities in existing AI-enabled clinical studies, which pose a challenge to global health equity. In…
Continue Reading
Given the current state of medical artificial intelligence (AI) and perceptions towards it, collaborative systems are becoming the preferred choice for clinical workflows. This work aims to address expert interaction with medical AI support…
Continue Reading
AIRS Medical bags $20M to take more global marketsKorean medical AI company AIRS Medical has raked in $20 million in a Series C funding round led by BSK Investment and Shinyoung Securities.
Based on a press statement,…
Former US Food and Drug Administration Commissioner Scott Gottlieb, MD published a call to action this week in JAMA Health Forum that asks Congress to update FDA regulations for medical AI. He begins the…
Continue Reading
Korean digital health company LifeSemantics has obtained the first approval for an AI-powered solution for skin cancer diagnosis in South Korea.The company received regulatory clearance from the Ministry of Food and Drug Safety for…
Continue Reading
What You Should Know:
– John Snow Labs, a leader in AI for healthcare, has announced a significant breakthrough in medical Large Language Model (LLM) accuracy. Their models have achieved state-of-the-art (SOTA) performance on industry…
Continue Reading
National University Hospital testing Alzheimer’s predictive AI from KoreaSingapore’s National University Hospital is collaborating with medical AI company Heuron from South Korea to test the latter’s AI solutions for screening and predicting Alzheimer’s disease.
Heuron…
Healthcare datasets are becoming larger and more complex, necessitating the development of accurate and generalizable AI models for medical applications. Unstructured datasets, including medical imaging, electrocardiograms, and natural language data, are gaining attention with…
Continue Reading
Distribution shifts remain a problem for the safe application of regulated medical AI systems, and may impact their real-world performance if undetected. Postmarket shifts can occur for example if algorithms developed on data from…
Continue Reading
