Results 211 to 220 of about 285,029 (255)

Artificial intelligence in radiology: promising tool or overhyped trend? [PDF]

Ann Med Surg (Lond)
Irshad SU, Irshad SR, Jamal MA, Rehman S, Abideen ZU, Saifan AM, Ullah I.   +6 more
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Development of a Conversational Multimodal AI Tool for Assessing Malignancy Risk of Thyroid Nodules. [PDF]

Radiol Imaging Cancer
Mattay GS.
europepmc   +1 more source

Enhancing Direct Solar Water Splitting via ALD of Multifunctional TiO2/Pt Nanoparticle Coatings With Engineered Interfaces to GaAs/GaInP Tandem Cells

Advanced Functional Materials, EarlyView.
Multifunctional atomic layer deposited coatings and interface treatments enhance direct solar water splitting on GaAs/GaInP tandem cells. Optimized TiO2/Pt nanoparticle bilayers ensure durability and catalytic efficiency with minimal optical losses, while H2 plasma pretreatments maximize photovoltage and interfacial charge extraction.
Tim F. Rieth, Verena Streibel, Oliver Bienek, Sergej Levashov, Johannes Dittloff, Kristof Möller, Johanna Eichhorn, Matthias M. May, Ian D. Sharp   +8 more
wiley   +1 more source

Micropatterned Biphasic Printed Electrodes for High‐Fidelity on‐Skin Bioelectronics

Advanced Functional Materials, EarlyView.
Micropatterned biphasic printed electrodes achieve unprecedented skin conformity and low impedance by combining liquid‐metal droplets with microstructured 3D lattices. This scalable approach enables high‐fidelity detection of ECG, EMG, and EEG signals, including alpha rhythms from the forehead, with long‐term comfort and stability.
Manuel Reis Carneiro, Telmo Lopes, André F. Silva, Carmel Majidi, Mahmoud Tavakoli   +4 more
wiley   +1 more source

Research on liver cancer pathology image recognition based on deep learning image processing. [PDF]

Sci Rep
Yang M, Niu H.
europepmc   +1 more source

Composition and Resulting Band Alignment at the TiO2/InP Heterointerface: A Fundamental Study Combining Photoemission Spectroscopy and Theory

Advanced Functional Materials, EarlyView.
The chemical composition and band alignment are systematically investigated at the TiO2/InP heterointerface. Thin TiO2 films are deposited by ALD on atomically ordered, P‐terminated p‐InP(100). By combining UPS, XPS, and ab initio molecular dynamics, the atomistic structure and electronic alignment are revealed.
Mohammad Amin Zare Pour, Muhammad Nawaz Qaisrani, Christian Höhn, Johannes Laurenz Wolf, Negin Mogharehabed, Jennifer Velazquez Rojas, Wolfram Jaegermann, Erich Runge, Roel van de Krol, Thomas Hannappel, Christian Dreßler, Agnieszka Paszuk   +11 more
wiley   +1 more source

Artificial Intelligence in Upper Gastrointestinal Endoscopy: Current Evidence, Practice, and Future Directions. [PDF]

Cureus
Alemam A, Tamanna R, Ali M, Ibraheem N, Swealem A.   +4 more
europepmc   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

Catalysing Artificial Intelligence for Paediatric Tuberculosis Research (CAPTURE): protocol for a global multicentre study establishing a paediatric chest X-ray repository to evaluate computer-aided detection algorithms. [PDF]

BMJ Open
Palmer M, Kik SV, Kohli M, Fataar A, Anyebe V, Frey N, Castro R, Nerurkar R, van der Westhuizen JN, Macé A, Ruhwald M, Seddon JA, Jaganath D, CAPTURE Consortium group.   +13 more
europepmc   +1 more source