Results 161 to 170 of about 1,219,864 (384)

MGH Radiology Llama: A Llama 3 70B Model for Radiology [PDF]

arXiv
In recent years, the field of radiology has increasingly harnessed the power of artificial intelligence (AI) to enhance diagnostic accuracy, streamline workflows, and improve patient care. Large language models (LLMs) have emerged as particularly promising tools, offering significant potential in assisting radiologists with report generation, clinical ...
arxiv  

THE RADIOLOGICAL APPEARANCES OF AGENESIS OF THE CORPUS CALLOSUM [PDF]

, 1953
P. Sheldon, Azadeh Peyman
openalex   +1 more source

Predicting cancer outcomes with radiomics and artificial intelligence in radiology

Nature Reviews Clinical Oncology, 2021
K. Bera, Nathaniel Braman, Amit Gupta, V. Velcheti, A. Madabhushi   +4 more
semanticscholar   +1 more source

Radiological Demonstration of a Pyelochylous Fistula [PDF]

, 1956
Frank Hartley
openalex   +1 more source

RADIOLOGICAL EXAMINATION IN ORGANIC DISEASES OF THE COLON: THE OPAQUE ENEMA METHOD [PDF]

, 1925
S. Gilbert Scott
openalex   +1 more source

Blood Anomalies in Radiologists and in Persons Employed in Radiological Service [PDF]

, 1924
P. Amundsen
openalex   +1 more source

Radiology in Syphilis [PDF]

, 1951
K. H. Gaskell
openalex   +1 more source

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang, Austen Maniscalco, David Sher, Mu‐Han Lin, Steve Jiang, Dan Nguyen   +5 more
wiley   +1 more source

Surface and Radiological Anatomy for Students and General Practitioners [PDF]

, 1950

openalex   +1 more source

Assessing proton plans with three different beam delivery systems versus photon plans for head and neck tumors

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To compare plan quality among photon volumetric modulated arc therapy (VMAT) and intensity‐modulated proton therapy (IMPT) with robustness using three different proton beam delivery systems with various spot size (σ) ranges: cyclotron‐generated proton beams (CPBs) (σ: 2.7–7.0 mm), linear accelerator proton beams (LPBs) (σ: 2.9–5.5 mm),
Tara Gray, Chieh‐Wen Liu, Saeed Ahmed, Anna Maria Kolano, Jeremy Donaghue, Shlomo Koyfman, Neil Woody, Shauna R. Campbell, Jonathan B. Farr, Ping Xia   +9 more
wiley   +1 more source