Results 141 to 150 of about 13,125 (210)

Personalized rTMS treatment recommendation with retrieval-augmented LLM reasoning. [PDF]

Brain Inform
Xu L, Xie H, Tao X, Qin SJ, Wang FL, Gururajan R, Elangovan S, Shen Y.   +7 more
europepmc   +1 more source

PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts. [PDF]

Med Image Comput Comput Assist Interv
Li H, Liu H, Hu D, Wang J, Oguz I.
europepmc   +1 more source

Towards a cardiovascular magnetic resonance foundation model for multi-task cardiac image analysis. [PDF]

J Cardiovasc Magn Reson
Jacob AJ, Borgohain I, Chitiboi T, Sharma P, Comaniciu D, Rueckert D.   +5 more
europepmc   +1 more source

Bridging neuroscience and AI: a survey on large language models for neurological signal interpretation. [PDF]

Front Neuroinform
Chandrasekharan S, Jacob JE.
europepmc   +1 more source

Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records. [PDF]

NPJ Digit Med
Dai HJ, Mir TH, Chen CT, Chen CC, Yang HP, Lee CH, Chou YY, Teng YC, Gupta S, Panchal O, Nadar DR, Liao WH, Lin YC, Zhao ZR, Tsai RT, Chang YC, Jonnagaddala J.   +16 more
europepmc   +1 more source

Evaluating the quality of multiple automatically produced segmentation variants of the prostate on Magnetic Resonance Imaging scans for brachytherapy. [PDF]

Phys Imaging Radiat Oncol
Dushatskiy A, Bosman PAN, Hinnen KA, Wiersma J, Westerveld H, Pieters BR, Alderliesten T.   +6 more
europepmc   +1 more source

Feedback-integrated prompt optimiser for problem formulation. [PDF]

Sci Rep
Amarasinghe PT, Nguyen S, Sun Y, Alahakoon D.   +3 more
europepmc   +1 more source

Tucano: Advancing neural text generation for Portuguese. [PDF]

Patterns (N Y)
Corrêa NK, Sen A, Falk S, Fatimah S.
europepmc   +1 more source

Personalized adaptive generation of peking opera facial makeup using generative artificial intelligence. [PDF]

Sci Rep
Ge H, Zhang W, Sun X, Fan Z, Xian Q.
europepmc   +1 more source

Implementing generative artificial intelligence in precision oncology: safety, governance, and significance. [PDF]

J Hematol Oncol
Hamamoto R, Koyama T, Takahashi S, Yasuda T, Kobayashi K, Akagi Y, Kouno N, Sudo K, Hirata M, Sunami K, Kubo T, Katayama H, Takashima A, Taniguchi T, Matsumoto H, Shibaki R, Asada K, Komatsu M, Kaneko S, Yamada M, Horinouchi H, Tanaka K, Goto Y, Kato K, Saito Y, Nakamura K, Yamamoto N.   +26 more
europepmc   +1 more source