Computer copilots for endoscopic diagnosis [PDF]
npj Digital Medicine, 2022 Artificial intelligence (AI) tools for endoscopy are now entering clinical practice after demonstrating substantial improvements to polyp detection on colonoscopy.
James A. Diao, Joseph C. Kvedar
doaj +4 more sources
The role of artificial intelligence-based foundation models and “copilots” in cancer pathology: potential and challenges [PDF]
Journal of Experimental and Clinical Cancer ResearchThe integration of Artificial Intelligence (AI) into cancer pathology offers an imperative solution to global pathologist shortages and increasingly complex diagnostic demands.
Hao Cheng, Chi Chun Wong, Wong Chi Chun
exaly +3 more sources
The Augmented Cytopathologist: A Conceptual Exploratory Narrative Review on Immersive and Vision–Language Models Tools in Digital Pathology [PDF]
Journal of ImagingEmerging digital technologies, including immersive environments (VR/AR/XR) and Vision–Language Models (VLMs), have the potential to reshape digital pathology and medical imaging.
Enrico Giarnieri +4 more
doaj +2 more sources
What’s new in digital and computational pathology 2026: advances in adoption, standards, AI technologies, and clinical integration [PDF]
Journal of Pathology and Translational MedicineDigital and computational pathology are expanding rapidly worldwide, driven by advances in whole‑slide imaging, AI algorithms, multimodal data integration, and improved digital infrastructure.
Selim Sevim +2 more
doaj +2 more sources
Artificial intelligence in the psychologist’s toolkit: Psypilot as a case study [PDF]
Frontiers in PsychologyArtificial intelligence (AI) is rapidly reshaping how psychology is practiced, from assessment and case formulation to intervention planning, monitoring, and documentation.
Pablo Roca +8 more
doaj +2 more sources
The Elastic Electronic Health Record: A Five-Tiered Framework for Applying Artificial Intelligence to Electronic Health Record Maintenance, Configuration, and Use [PDF]
JMIR AIProperly configuring modern electronic health records (EHRs) has become increasingly challenging for human operators, failing to fully meet the efficiency and cost-saving potential seen with the digitization of other sectors.
Colby Uptegraft +4 more
doaj +2 more sources
Comparative study of advanced reasoning versus baseline large-language models for histopathological diagnosis in oral and maxillofacial pathology. [PDF]
PLoS ONELarge language models (LLMs) are increasingly explored as diagnostic copilots in digital pathology, but whether the newest reasoning-augmented architectures provide measurable benefits over earlier versions is unknown.
Viet Anh Nguyen +4 more
doaj +2 more sources
Specialized foundation models for intelligent operating rooms [PDF]
npj Digital MedicineSurgical procedures unfold in complex environments demanding coordination between surgical teams, tools, imaging and increasingly, intelligent robotic systems. While AI solutions like ChatGPT and Gemini have revolutionized language understanding and seen
Ege Özsoy +5 more
doaj +2 more sources
Examining the Role of Large Language Models in Orthopedics: Systematic Review [PDF]
Journal of Medical Internet ResearchBackgroundLarge language models (LLMs) can understand natural language and generate corresponding text, images, and even videos based on prompts, which holds great potential in medical scenarios.
Cheng Zhang +7 more
doaj +2 more sources
Brain–computer interface control with artificial intelligence copilots [PDF]
Nature Machine IntelligenceJonathan C Kao +2 more
exaly +2 more sources