Results 111 to 120 of about 129,951 (312)

Novel body component score predicts long‐term survival in patients with stage I–III colorectal cancer following radical resection

Annals of Gastroenterological Surgery, Volume 9, Issue 3, Page 529-537, May 2025.
The body component score (BCS) consists of three key elements: skeletal muscle, bodily fat, and ectopic fat. BCS can comprehensively represent the states of body composition and predict the long‐term survival of resectable colorectal cancer following radical resection.
Takashi Aida, Teppei Kamada, Taigo Hata, Junji Takahashi, Eisaku Ito, Kenei Furukawa, Masashi Yoshida, Hironori Ohdaira, Toru Ikegami, Yutaka Suzuki   +9 more
wiley   +1 more source

“Coffee grounds” through the chest tube [PDF]

, 2000
Abdullah F. Mobeireek, Khaled Alkattan
openalex   +1 more source

Prognostic factors for patients with esophageal cancer who achieve pathological complete response in the primary tumor after upfront chemotherapy or chemoradiotherapy

Annals of Gastroenterological Surgery, EarlyView.
Male gender and pathological lymph node metastasis are independent poor prognostic factors in patients with esophageal cancer who receive upfront treatment followed by surgery and achieved pathological complete response of the primary tumor. Among patients without pathological lymph node metastasis, the upfront chemotherapy group showed significantly ...
Masaaki Motoori, Koji Tanaka, Hiroshi Miyata, Makoto Yamasaki, Osamu Shiraishi, Atsushi Takeno, Tomoki Makino, Keijiro Sugimura, Takushi Yasuda, Yuichiro Doki   +9 more
wiley   +1 more source

RadPhi-3: Small Language Models for Radiology [PDF]

arXiv
LLM based copilot assistants are useful in everyday tasks. There is a proliferation in the exploration of AI assistant use cases to support radiology workflows in a reliable manner. In this work, we present RadPhi-3, a Small Language Model instruction tuned from Phi-3-mini-4k-instruct with 3.8B parameters to assist with various tasks in radiology ...
arxiv  

Impact of duration of chest tube drainage on pain after cardiac surgery [PDF]

, 2000
Xavier M. Mueller, Francine Tinguely, Hendrik T. Tevaearai, P. Ravussin, Frank Stumpe, ­Ludwig K. von Segesser   +5 more
openalex   +1 more source

Spring and Power in Hovering Ornithopters

Advanced Intelligent Systems, EarlyView.
Only small ornithopters can hover, longest at the hummingbird size. This article reviews the drive and power of these hovering machines, focusing on elastic energy and thrust boosters. Unlike two‐winged designs, X‐winged and multiple‐V‐winged ornithopters benefit from lower disk loading and slower, smaller wingbeats, and the clap‐and‐fling effect ...
Gih‐Keong Lau, Yao‐Wei Chin, Shih‐Chun Lin, Yu‐Hsiang Lai, Boo Cheong Khoo   +4 more
wiley   +1 more source

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models [PDF]

arXiv
Medical vision-language model models often struggle with generating accurate quantitative measurements in radiology reports, leading to hallucinations that undermine clinical reliability. We introduce FactCheXcker, a modular framework that de-hallucinates radiology report measurements by leveraging an improved query-code-update paradigm.
arxiv  

Deep‐Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label‐Free 3D Immune‐Cell Morphology in the Cerebrospinal Fluid

Advanced Intelligent Systems, EarlyView.
Early diagnosis and prognosis prediction of central nervous system infections are critical. This study introduces a deep‐learning model utilizing cerebrospinal fluid immune‐cell morphology captured via 3D holotomography. The model effectively predicts infection etiology and prognosis, achieving high accuracy.
Bo Kyu Choi, Ho Heon Yang, Jong Hyun Kim, JaeSeong Hong, Kyung Min Kim, Yu Rang Park   +5 more
wiley   +1 more source

Chest trauma management with small-bore chest tube

Journal of Emergencies, Trauma and Shock, 2020
Yuki Yoshioka, Hisashi Ishikura
doaj   +1 more source

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology [PDF]

arXiv
Nasogastric tubes (NGTs) are feeding tubes that are inserted through the nose into the stomach to deliver nutrition or medication. If not placed correctly, they can cause serious harm, even death to patients. Recent AI developments demonstrate the feasibility of robustly detecting NGT placement from Chest X-ray images to reduce risks of sub-optimally ...
arxiv