Results 171 to 180 of about 646,473 (271)

Evaluation of (Shared) Autonomy in Robot-Assisted Vitreoretinal Surgery Using a Surgical Model. [PDF]

Int J Med Robot
Marinho MM, Koyama Y, Taniguchi Y, Yamanaka T, Arai F, Omata S, Sugimoto K, Ueta T, Totsuka K, Shiraya T, Araki F, Takao M, Mitsuishi M, Harada K.   +13 more
europepmc   +1 more source

Methods for working with problem residents in medical physics residency education

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Medical physics residency training programs may occasionally encounter residents requiring additional intervention beyond normal training efforts. In the literature, these residents are referred to as “problem” residents. While the physician literature on the subject is valuable, this paper specifically focuses on dealing with a problem ...
Christopher J. Watchman, Dandan Zheng
wiley   +1 more source

Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review. [PDF]

BMC Med Imaging
Lumamba KD, Wells G, Naicker D, Naidoo T, Steyn AJC, Gwetu M.   +5 more
europepmc   +1 more source

Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising, Frank Verhaegen, Stefan G. Scheib, Maria J. G. Jacobs, Carol X. J. Ou, Viola Mottarella, Yin‐Ho Chong, Mariangela Zamburlini, Sebastiaan M. J. J. G. Nijsten, Ans Swinnen, Michel Öllers, Cecile J. A. Wolfs   +11 more
wiley   +1 more source

The role of artificial intelligence in cardiovascular research: Fear less and live bolder. [PDF]

Eur J Clin Invest
Scuricini A, Ramoni D, Liberale L, Montecucco F, Carbone F.   +4 more
europepmc   +1 more source

Facilitating 1.5T MR‐Linac adoption: Workflow strategies and practical tips

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background MR‐guided radiotherapy (MRgRT) offers new opportunities but also introduces workflow complexities requiring dedicated optimization. Implementing magnetic resonance linear accelerator (MR‐Linac) technology comes with challenges such as prolonged treatment times and workflow integration issues.
Madeline Michel, Zelda Paquier, Christelle Bouchart, Akos Gulyban, Nicolas Jullian, Dirk Van Gestel, Sara Poeta, Nick Reynaert, Philippe Martinive, Robbe Van Den Begin   +9 more
wiley   +1 more source

A novel algorithm for streamlined surgeon-dominated patient-specific implant design in computer-assisted jaw reconstruction. [PDF]

3D Print Med
Nayak A, Pu JJ, Yu X, Su YX.
europepmc   +1 more source

Diagnostic image‐based treatment planning for online adaptive ultra‐hypofractionated prostate cancer radiotherapy with MR‐Linac

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose A new workflow was investigated for Elekta Unity MR‐Linac by removing the computed tomography (CT)‐simulation step and using diagnostic CT (DCT) for reference plan generation. Materials and methods Ten patients with ultra‐hypofractionated prostate cancer treated with magnetic resonance imaging (MRI)‐guided adaptive radiotherapy were ...
Yuan Xu, Ningning Lu, Qiao Li, Kuo Men, Xinming Zhao, Jianrong Dai   +5 more
wiley   +1 more source

Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images. [PDF]

Sci Rep
Alrowais F, Alqahtani M, Khan J, Miled AB, Albalawneh D, Alkharashi A, Al Zanin S, Marzouk R.   +7 more
europepmc   +1 more source

A method for measuring spatial resolution based on clinical chest CT sequence images

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aimed to develop and validate a method for characterizing the spatial resolution of clinical chest computed tomography (CT) sequence images. Methods An algorithm for characterizing spatial resolution based on clinical chest CT sequence images was developed in Matlab (2021b).
Ying Liu, Jingying Shen, Haowei Zhang, Haikuan Liu   +3 more
wiley   +1 more source