Results 171 to 180 of about 156,406 (304)

Redefining interventional radiology: the urgent need for a clinical identity. [PDF]

CVIR Endovasc
Loffroy R.
europepmc   +1 more source

Optimal Indication of D3 Lymph Node Dissection for Non‐Metastatic Colon Cancers by Tumor Stages: Evaluation of Therapeutic Value Index for Each Lymph Node Station

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aims To explore the therapeutic impact of D3 lymph node dissection for non‐metastatic colon cancers, evaluating the therapeutic value index for each lymph node station according to surgical stages. Methods Consecutive patients with surgical Stage I–III colon and rectosigmoid cancer who underwent curative resection between January 2003 and ...
Akira Ouchi, Kozo Kataoka, Eiji Shinto, Takashi Akiyoshi, Takefumi Yoshida, Yasuyuki Takamizawa, Yukihide Kanemitsu, Hirotoshi Kobayashi, Hideki Ueno, on behalf of the Lymph Nodes Committee of JSCCR   +9 more
wiley   +1 more source

Interventional Radiology in 2018: Training, Abilities and Critical Place in the Department of Radiology

Journal of the Belgian Society of Radiology, 2018
Otto van Delden
doaj   +1 more source

Occupational Protection in Interventional Radiology. A Joint Guideline of the Cardiovascular and Interventional Radiological Society of Europe and the Society of Interventional Radiology. [PDF]

Cardiovasc Intervent Radiol
Miller DL, Vano E, Balter S, Kitahara CM, Wunderle KA, Reimer P, Fisher RF, Jones AK, Schueler BA, Paulo G, Efstathopoulos E, Bartal G.   +11 more
europepmc   +1 more source

Can Machine Learning Reduce Unnecessary Surgeries? A Retrospective Analysis Using Threshold Optimization to Prevent Negative Appendectomies in Adults

Annals of Gastroenterological Surgery, EarlyView.
Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males, Marko Kumric, Zvonimir Boban, Josip Vrdoljak, Dario Pecenkovic, Matej Ivanda, Marko Grahovac, Zenon Pogorelic, Josko Bozic   +8 more
wiley   +1 more source

Organizational structures of dialysis access care and the role of interventional nephrology: a Germany-wide survey. [PDF]

BMC Nephrol
Kächele M, Bettac L, Dreyhaupt J, Schulte-Kemna L, Schröppel B.   +4 more
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

ChatGPT and Interventional Radiology

Journal of Clinical Interventional Radiology ISVIR
Naveen Kalra, Sanjeeva P. Kalva
doaj   +1 more source

Recording interventionalists' occupational dose by clinical procedure: a novel approach to radiation safety. [PDF]

CVIR Endovasc
Sanchez RM, Vaño Carruana E, Fernández Soto JM.   +2 more
europepmc   +1 more source

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

Advanced Intelligent Discovery, EarlyView.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets, Matthias N. van Oosterom, Vera A. Ottens, Henk G. van der Poel, Fijs W. B. van Leeuwen   +4 more
wiley   +1 more source