Results 201 to 210 of about 143,086 (265)

Interobserver Agreement Between Artificial Intelligence, Radiologist, and Gynecologist in Hysterosalpingography Interpretation: A Retrospective Comparative Study. [PDF]

Diagnostics (Basel)
Taşkıran D, Aslan S, Kolsuz S, Alçı M, Yazgan Yiğitbaş E.   +4 more
europepmc   +1 more source

Preoperative FIB‐4 Index as a Potential Factor Associated With Severe Postoperative Complications and Endogenous Organ Failure After Hepatectomy for Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
This study demonstrates that a preoperative FIB‐4 index ≥ 5.0 independently predicts severe complications and endogenous organ failure (EOF) following hepatectomy for hepatocellular carcinoma. By capturing structural liver fragility and systemic vulnerability, the FIB‐4 index enhances surgical risk stratification beyond traditional functional markers ...
Masanori Nakamura, Yukiyasu Okamura, Osamu Aramaki, Nao Yoshida, Yusuke Mitsuka, Hayato Abe, Shunsuke Yamagishi, Yasuhiro Okumura, Kyongsun Pak, Shinobu Masuda   +9 more
wiley   +1 more source

Prompt Configurations for Multimodal Large Language Models in Diagnosing and Staging Osteonecrosis of the Femoral Head: Multimodel Retrospective Observational Diagnostic Study. [PDF]

J Med Internet Res
Zhu J, Huang X, Shi J, Chen S, Chen D, Gao Z, Lu Y, Yang T, Wang X, Lin Y, Xu P, Li L, Fan P.   +12 more
europepmc   +1 more source

Mac‐2 Binding Protein Glycosylation Isomer (M2BPGi)–Based Risk Stratification Refined by Tumor Metabolic Activity in Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
M2BPGi reflects background liver fibrosis and hepatic functional impairment. PET SUVmax reflects tumor metabolic aggressiveness. Their combination identifies a dual‐high subgroup with the poorest recurrence‐free and overall survival. ABSTRACT Aim To evaluate the prognostic significance of preoperative Mac‐2 binding protein glycosylation isomer (M2BPGi)
Kojiro Shirabe, Junya Mita, Shinji Itoh, Takeo Toshima, Yoshiyuki Kitamura, Norifumi Iseda, Takuro Isoda, Kousei Ishigami, Tomoharu Yoshizumi   +8 more
wiley   +1 more source

Systems medicine: total body positron emission tomography meets omics. [PDF]

Br J Radiol
Jacobs AK, Chan A, Tavares AAS.
europepmc   +1 more source

Full Customization of the Radiology Information System

Japanese Journal of Radiological Technology, 1997
openaire   +2 more sources

AI-assisted multimodal data integration for precision oncology. [PDF]

Front Artif Intell
Chera A, Chirilaș AM, El-Sabeh A, Crețu Stancu M, Bucur O.   +4 more
europepmc   +1 more source

Assessing the Reliability, Accuracy, and Relevance of Artificial Intelligence Speech Recognition for Clinical Documentation: A Scoping Review. [PDF]

J Eval Clin Pract
Atiku S, Owolanke K, Olakotan O.
europepmc   +1 more source

Artificial Intelligence Integration in Radiology in Saudi Arabia: A Cross-Sectional Survey of Workforce Readiness and Implementation Challenges. [PDF]

Healthcare (Basel)
Alamoudi AO, Abdallah YM.
europepmc   +1 more source

Pleural plaques and interstitial lung abnormalities in AGES-Reykjavik study. [PDF]

ERJ Open Res
Ko Y, Gudmundsson G, Fukuda T, Nakamura Y, Bjarnadottir H, Gudmundsdottir V, Nishino M, Gudnason V, Hunninghake GM, Hatabu H.   +9 more
europepmc   +1 more source