Reimbursement in the age of generalist radiology artificial intelligence
We argue that generalist radiology artificial intelligence (GRAI) challenges current
healthcare reimbursement frameworks. Unlike narrow AI tools, GRAI's multi-task capabilities …
healthcare reimbursement frameworks. Unlike narrow AI tools, GRAI's multi-task capabilities …
Current status and future directions of explainable artificial intelligence in medical imaging
The inherent “black box” nature of AI algorithms presents a substantial barrier to the
widespread adoption of the technology in clinical settings, leading to a lack of trust among …
widespread adoption of the technology in clinical settings, leading to a lack of trust among …
Computational pathology: an evolving concept
I Prassas, B Clarke, T Youssef, J Phlamon… - Clinical Chemistry and …, 2024 - degruyter.com
The initial enthusiasm about computational pathology (CP) and artificial intelligence (AI) was
that they will replace pathologists entirely on the way to fully automated diagnostics. It is …
that they will replace pathologists entirely on the way to fully automated diagnostics. It is …
[HTML][HTML] Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
Background The increasing use of social media to share lived and living experiences of
substance use presents a unique opportunity to obtain information on side effects, use …
substance use presents a unique opportunity to obtain information on side effects, use …
Weak Supervision, Strong Results: Achieving High Performance in Intracranial Hemorrhage Detection with Fewer Annotation Labels
PhD student affiliated with The University of Texas Medical Scientist Training Program at
Houston. He is currently a postdoctoral fellow at The University of Texas MD Anderson …
Houston. He is currently a postdoctoral fellow at The University of Texas MD Anderson …
The Role of Industry to Grow Clinical Artificial Intelligence Applications in Gastroenterology and Endoscopy
AL Chiang, H Hong - Gastrointestinal Endoscopy Clinics, 2025 - giendo.theclinics.com
Artificial intelligence (AI) is a broad term that describes a range of computational approaches
designed to mimic or simulate human cognitive functions, including making predictions and …
designed to mimic or simulate human cognitive functions, including making predictions and …
Two-layer retrieval augmented generation framework for low-resource medical question-answering: proof of concept using Reddit data
Retrieval augmented generation (RAG) provides the capability to constrain generative
model outputs, and mitigate the possibility of hallucination, by providing relevant in-context …
model outputs, and mitigate the possibility of hallucination, by providing relevant in-context …
Advancements in Clinical Evaluation and Regulatory Frameworks for AI-Driven Software as a Medical Device (SaMD)
Owing to the rapid progress in artificial intelligence (AI) and the widespread use of
generative learning, the problem of sparse data has been solved effectively in various …
generative learning, the problem of sparse data has been solved effectively in various …