Giles AI has announced the commercial launch of giles, an AI specialised research agent designed to accelerate healthcare, clinical, and medical research through rapid literature review and data analysis. The tool extracts, analyses, summarises, and references information from verified medical databases and private files, completing tasks within seconds that traditionally require hours of manual work.
A German medical technology company has become the first to receive regulatory approval for artificial intelligence to function as an independent second reader in breast cancer screening and diagnostic mammography across Europe.
Mayo Clinic has launched Mayo Clinic Platform_Orchestrate, a comprehensive programme designed to accelerate clinical development by providing biopharma and medical device companies with streamlined access to de-identified clinical data, artificial intelligence tools, and international research networks.
Researchers have successfully used genome language models to design complete, functional bacteriophage genomes, marking the first generative design of whole living organisms. The breakthrough demonstrates AI’s capacity to access novel evolutionary spaces and create phage cocktails that rapidly overcome bacterial resistance.
Researchers at Emory University have demonstrated that GPT-5, the latest large language model from OpenAI, significantly outperforms human medical experts on standardised diagnostic reasoning tasks. The AI achieved remarkable accuracy rates exceeding 95% on medical licensing examinations whilst showing particular strength in integrating visual and textual clinical information.
OHSU scientists have developed OmicsTweezer, a powerful machine learning tool that uses advanced deep learning and optimal transport techniques to analyse cell type composition in human tissues. The breakthrough technology addresses long-standing batch effect challenges in cancer research, potentially improving therapeutic target identification and patient outcomes across multiple cancer types.
Artificial intelligence could unlock the full potential of therapeutic and assistive exoskeletons by enabling autonomous operation, reducing dependence on therapists and caregivers. However, researchers emphasise that richer patient data and more accurate digital twins are essential before these technologies can achieve widespread clinical deployment and revolutionise rehabilitation outcomes.
Google DeepMind researchers have developed an asynchronous oversight system enabling AI to conduct diagnostic consultations whilst maintaining physician accountability. The guardrailed AMIE system demonstrated superior performance to nurse practitioners and primary care physicians in virtual clinical examinations whilst strictly deferring medical advice to supervising doctors.
Researchers have developed an artificial intelligence system that can estimate bone mineral density and detect osteoporosis from standard lumbar X-ray images, achieving sensitivity rates of 86.4% for osteopenia detection. The technology could transform routine clinical X-rays into powerful screening tools for bone health assessment.
Large Language Model (LLM) artificial intelligence systems increasingly deployed across healthcare settings pose serious risks to patient safety, with new research revealing these tools systematically recommend reduced medical care for women and vulnerable populations based on irrelevant factors such as typing errors and communication style rather than clinical need.
April 2024
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OHSU/Christine Torres Hicks