Results 211 to 220 of about 43,566 (284)

Clinical Applications of Multimodal Artificial Intelligence in Otolaryngology: A State‐of‐the‐Art Review

Otolaryngology–Head and Neck Surgery, Volume 175, Issue 2, Page 304-315, August 2026.
Abstract Objective Artificial intelligence (AI) has advanced to simultaneously process visual, auditory, and textual inputs, providing users with “multimodal” AI. Given the clinical integration potential of these tools, otolaryngologists must stay informed. This study reviews current literature on applications of multimodal AI in otolaryngology.
Ying Jie Li, Flora Su, Norbert Banyi, Philip Edgcumbe, Andrew Thamboo, Ameen Amanian   +5 more
wiley   +1 more source

Radiomics: Current Applications and Future Directions. [PDF]

MedComm (2020)
Shao J, Wei M, Li K, Lv G, Liu K, Guo Y.
europepmc   +1 more source

Oligoprogressive renal cell carcinoma: What is the role of surgery?

BJU International, Volume 138, Issue 2, Page 219-228, August 2026.
Objective To provide an overview of the biological mechanism and pattern of oligoprogression in renal cell carcinoma (RCC) and the most updated role of surgery in this setting, highlighting scientific gaps and informing future implications. Methods A non‐systematic search of PubMed/MEDLINE was performed in August 2025 including guidelines, reviews, and
Chiara Re, William H.J. Ince, Leo Bickley, James P. Blackmur, Mouhamad H. Ismail, Justicia Kyeremeh, Teele Kuusk, Eva Mendes Serrao, James O. Jones, Grant D. Stewart   +9 more
wiley   +1 more source

Discriminative and predictive power of radiomics features from preoperative MRI studies in patients with supraspinatus lesions. [PDF]

BMC Musculoskelet Disord
Longo UG, Giaccone P, Bacco L, D'Antoni F, Lalli A, Bandini B, di Naro C, Casciaro C, Nazarian A, Merone M, Schena E, Papalia R.   +11 more
europepmc   +1 more source

Predictive Models for Motor Outcomes From Deep Brain Stimulation in Parkinson's Disease: A Systematic Review

European Journal of Neuroscience, Volume 64, Issue 3, August 2026.
Our systematic search uncovered 19 studies creating predictive models of motor outcomes from deep brain stimulation for Parkinson's disease. We review prediction accuracy and replicability and discuss candidate input data and the presentation of predictions.
Maya Wilde, Dimitra Kiakou, Eduard Bakstein, Pavel Filip, Daniel Novak   +4 more
wiley   +1 more source

Radiomics analysis of energy CT-derived iodine density maps for predicting lymph node metastasis in colorectal cancer. [PDF]

Quant Imaging Med Surg
Jia Z, Wang D, Pan A, Tang L, Liang Z, Liu X, Wu Y, Qu X, Chen W, Liu X.   +9 more
europepmc   +1 more source

3D Radiomic Texture Analysis of Quantitative Muscle MRI Enhances the Distinction Between Myotonic Dystrophy Type 1 and Charcot–Marie‐Tooth Neuropathy Type 1A: A Proof‐of‐Concept Study

European Journal of Neurology, Volume 33, Issue 8, August 2026.
In this proof‐of‐concept study, 3D radiomic texture analysis of quantitative muscle MRI (proton density fat fraction (PDFF, %) maps) distinguished the myogenic disease DM1 from the neurogenic disease CMT1A. Compared with DM1, CMT1A showed higher entropy, contrast, and lower homogeneity, reflecting a reticular vs.
Louise Iterbeke, Lotte Huysmans, Kobe Bamps, Ronald Peeters, Veerle Goosens, Frederik Maes, Patrick Dupont, Kristl G. Claeys   +7 more
wiley   +1 more source

Development of a Risk Prediction Model for Bone Metastasis in Lung Adenocarcinoma With a T1 Primary Tumor Based on Intratumoral and Peritumoral Radiomics. [PDF]

Cancer Med
Li T, Zheng H, Guo Y, Zhang K, Liao M.
europepmc   +1 more source

Prognostic impact of presentation phenotypes in early‐stage favorable Hodgkin lymphoma

Cancer, Volume 132, Issue 14, 15 July 2026.
Using 3715 patients from the German Hodgkin Study Group HD10, HD13, and HD16 trials, we identified the most common lymph node involvement patterns in early‐stage favorable Hodgkin lymphoma. These presentation phenotypes differed markedly in terms of patient age, sex distribution, and histology.
Hishan Tharmaseelan, Janina Jablonski, Ina Bühnen, Michael Fuchs, Johannes Rosenbrock, Hans T. Eich, Justin Ferdinandus, Christian P. Jaworek, Paul J. Bröckelmann, Peter Borchmann, Dennis A. Eichenauer   +10 more
wiley   +1 more source

Multi-parametric MRI habitat radiomics with interpretable machine learning for early prediction of axillary lymph node metastasis in triple-negative breast cancer. [PDF]

Front Med (Lausanne)
Xie B, Peng X, Wang Y, Wen X, Hu Y, Li Y, You X, Ma Y.   +7 more
europepmc   +1 more source