Results 151 to 160 of about 649,537 (305)

Navigating Challenges in Teleradiology Implementation: A Case Study from Saudi Arabia’s Healthcare System

Journal of Multidisciplinary Healthcare
Haitham Alahmad,1,* Mansour A Almanaa,1,* Ahmad Abanomy,1 Mohammad Alarifi,1 Khaled Alenazi,1 Mousa Matabi,2 Raed Albathi,3 Rayan Moslem4 1Department of Radiological Sciences, College of Applied Medical Sciences, King Saud University, Riyadh ...
Alahmad H, Almanaa MA, Abanomy A, Alarifi M, Alenazi K, Matabi M, Albathi R, Moslem R   +7 more
doaj  

ChatGPT-Assisted Image Interpretation for Inflammatory Bowel Diseases: Ulcerative Colitis and Crohn's Disease. [PDF]

JGH Open
Uekado H, Watanabe D, Aoyama Y, Kawase H, Ikeda S, Shiraki A, Pajimna J, Agawa M, Nakamura H, Ito Y, Okamoto N, Miyazaki H, Ku Y, Ooi M, Hoshi N, Kodama Y.   +15 more
europepmc   +1 more source

PARP inhibitors induce a senescence phenotype in non‐small cell lung carcinoma cell lines

FEBS Open Bio, EarlyView.
Talazoparib is the most potent inducer of senescence among different PARP1 inhibitors in human NSCLC cells. In the absence of PARP, no senescence phenotype was observed, demonstrating that PARP1 is necessary for the induction of senescence by this inhibitor.
Camille Huart, Manon Van den Abbeel, Christoph Schifflers, Karim Bouhjar, Andrea Scarmelotto, Alexis Khelfi, Anne‐Catherine Wera, Carine Michiels   +7 more
wiley   +1 more source

Knowledge Transfer in Semi-automatic Image Interpretation

, 2015
Semi-automatic image interpretation systems utilize interactions between users and computers to adapt and update interpretation algorithms. We have studied the influence of human inputs on image interpretation by examining several knowledge transfer ...
Zhou, Jun, Caelli, Terry, Cheng, Li, Bischof, Walter F.   +3 more
core  

Radiologist workforce challenges and the burden of image interpretation in Ghana: Perspectives of frontline doctors and implications for healthcare delivery. [PDF]

PLOS Glob Public Health
Ofori-Manteaw B, Ofori EK, Dzefi-Tettey K, Ago JL, Angmorterh SK, Acheampong F.   +5 more
europepmc   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

FEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes, Maria X. Isaksen, Frida Julbø, Manohar Pradhan, Andreas Kleppe, Sepp De Raedt, Ole‐Johan Skrede, Turid Torheim, John Arne Nesheim, Hans Martin Mohn, Hanne A. Askautrud, Karolina Cyll, Wanja Kildal, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel Janssen, Robert Jones, Odd Terje Brustugun, Bjørn Brennhovd, Erik Skaaheim Haug, Lill‐Tove Rasmussen Busund, Elin Richardsen, Sigve Andersen, Tom Dønnem, Kristina Lindemann, Gunnar Kristensen, Neil A. Shepherd, Marco Novelli, Knut Liestøl, David Kerr, Håvard E. Danielsen, Tarjei S. Hveem   +32 more
wiley   +1 more source

Prospective Multicenter Evaluation of Patient Satisfaction and Radiologist Image Interpretation Using the Envision™ Mammography Platform. [PDF]

Med Devices (Auckl)
Parghi CR, Niklewski PJ, Cooper A, Waqas M.   +3 more
europepmc   +1 more source

Exon 7 splicing of ERα predicts poor prognosis and increases phenotypic heterogeneity in luminal a subtype breast cancer

FEBS Open Bio, EarlyView.
ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui, Taobo Hu, Thomson Christian Husein, Wai Hei Shek, Bingrong Chen, Depeng Wang, Shu Wang, Weichuan Yu, Xiaodan Fan, Mengping Long, Toyotaka Ishibashi   +10 more
wiley   +1 more source

Report Generation System for Slit-Lamp Image Interpretation Using Vision-Language Models. [PDF]

Ophthalmol Ther
Ye X, Shen Y, Chen Q, He X, Lu X, Grzybowski A, Jin K, Xie W.   +7 more
europepmc   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source