Results 151 to 160 of about 362,132 (303)

Symptomatic narcolepsy in a dog with functional pituitary gland macroadenoma

open access: yesVeterinary Record Case Reports, Volume 13, Issue 2, June 2025.
Abstract Symptomatic narcolepsy in dogs has been rarely reported. A 7‐year‐old, female, neutered Greek harehound presented with chronic progressive lethargy, dysphonia, episodes of flaccid paralysis of all limbs following excitement or eating, as well as pinnae and tail alopecia, hyperpigmentation and ‘rat tail’.
Christina Koufaki   +4 more
wiley   +1 more source

PitRSDNet: Predicting Intra-operative Remaining Surgery Duration in Endoscopic Pituitary Surgery [PDF]

open access: yesarXiv
Accurate intra-operative Remaining Surgery Duration (RSD) predictions allow for anaesthetists to more accurately decide when to administer anaesthetic agents and drugs, as well as to notify hospital staff to send in the next patient. Therefore RSD plays an important role in improving patient care and minimising surgical theatre costs via efficient ...
arxiv  

Whole-Exome Sequencing Study of Thyrotropin-Secreting Pituitary Adenomas [PDF]

open access: yes, 2018
学位記番号 ...
Santosh, Sapkota   +2 more
core  

Beyond fluorodeoxyglucose: Molecular imaging of cancer in precision medicine

open access: yesCA: A Cancer Journal for Clinicians, Volume 75, Issue 3, Page 226-242, May/June 2025.
Abstract Cancer molecular imaging is the noninvasive visualization of a process unique to or altered in neoplasia, such as proliferation, glucose metabolism, and receptor expression, which is relevant to patient management. Several molecular imaging modalities are now available, including magnetic resonance, optical, and nuclear imaging.
Malik E. Juweid   +6 more
wiley   +1 more source

Diagnostic pathology of equine intracranial neoplasms

open access: yes
Equine Veterinary Education, EarlyView.
H. G. Miller, A. Suarez‐Bonnet
wiley   +1 more source

SurgicalVLM-Agent: Towards an Interactive AI Co-Pilot for Pituitary Surgery [PDF]

open access: yesarXiv
Image-guided surgery demands adaptive, real-time decision support, yet static AI models struggle with structured task planning and providing interactive guidance. Large vision-language models (VLMs) offer a promising solution by enabling dynamic task planning and predictive decision support.
arxiv  

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