Results 231 to 240 of about 278,931 (306)

Predicting High‐Resolution Spatial and Spectral Features in Mass Spectrometry Imaging with Machine Learning and Multimodal Data Fusion

Advanced Intelligent Discovery, EarlyView.
A multimodal fusion pipeline predicts high‐resolution ion distributions in imaging mass spectrometry by integrating Fourier transform ion cyclotron resonance, time‐of‐flight matrix‐assisted laser desorption/ionization, and time‐of‐flight secondary ion mass spectrometry data.
Md Inzamam Ul Haque, Ramakrishnan Kannan, Jacob D. Hinkle, Sylwia A. Stopka, Anton V. Ievlev, Nathalie Y. R. Agar, Olga S. Ovchinnikova, Debangshu Mukherjee   +7 more
wiley   +1 more source

Viewpoint on the Consequences and Mitigation of Cognitive Bias in the Radiological Interpretation of Breast Cancer Imaging Using Artificial Intelligence.

JMIR Med Inform
Conti L, Capetti B, Battaglia O, Grasso R, Pesapane F, Monzani D, Pravettoni G.   +6 more
europepmc   +1 more source

International survey in four European countries on diagnostic reference levels based on clinical indications in computed tomography. [PDF]

Insights Imaging
Schegerer AA, Jungnickel K, Walz M, Verius M, Singer J, Renger B, Oberhofer N, Müller C, Menz R, Madsack B, Fiebich M, Eßeling R, Borowski M, Bazrafshan B, Ammon J, Aberle C, Stamm G.   +16 more
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

FedIHRAS: A Privacy-Preserving Federated Learning Framework for Multi-Institutional Collaborative Radiological Analysis with Integrated Explainability and Automated Clinical Reporting. [PDF]

Biomedicines
Serrano ALM, Rodrigues GAP, Bispo GD, Gonçalves VP, Filho GPR, Peixoto MGM, Bonacin R, Meneguette RI.   +7 more
europepmc   +1 more source

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

Advanced Intelligent Discovery, EarlyView.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets, Matthias N. van Oosterom, Vera A. Ottens, Henk G. van der Poel, Fijs W. B. van Leeuwen   +4 more
wiley   +1 more source

Imaging dose in image-guided radiotherapy for localized prostate intensity-modulated radiotherapy: a nationwide survey in Japan. [PDF]

J Radiat Res
Kito S, Takizawa T, Tanabe S, Suda Y, Nagahata T, Tohyama N, Okamoto H, Kodama T, Fujita Y, Miyashita H, Shinoda K, Kurooka M, Shimizu H, Ohno T, Sakamoto M.   +14 more
europepmc   +1 more source

Radiological Information System by Using Visual Basic

Japanese Journal of Radiological Technology, 1998
openaire   +2 more sources

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Energy performance of MRI systems: on-site validation and comparison with manufacturer declarations. [PDF]

Eur Radiol Exp
Roletto A, Verga M, Savio A, Viganò GL, Zanoni S.   +4 more
europepmc   +1 more source