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통합검색

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'medical artificial intelligence' 에 대한 통합검색결과 40건입니다.

한빛사40건

최신순
관련도순

- 김지나(Cedars-Sinai Medical Center)
- 유성용(Cedars-Sinai Medical Center)
Computational frameworks for enhanced extracellular vesicle biomarker discovery
- Exp. Mol. Med. 14 January 2026 | https://doi.org/10.1038/s12276-025-01622-x
- 2026.01
- 바이오·의료융합
Nguyen Doan Hieu Nguyen

성균관대학교

This study addresses the critical need for rapid and accurate identification of Persistent, Mobile, and Toxic (PMT) and very Persistent and very Mobile (vPvM) substances, which are increasingly recognized as significant threats to freshwater resources under many regulations.
- J. Hazard. Mater.
- 2025.12.01
- 박영석(서울대학교 의과대학)
How does AI compare to the experts in a Delphi setting: simulating medical consensus with large language models
- Int. J. Surg. Oct 15 2025, | https://doi.org/10.1097/JS9.0000000000003631
- 2025.10
- 의약학
AI-generated MLH1 small binder improves prime editing efficiency
- Cell August 05, 2025 | https://doi.org/10.1016/j.cell.2025.07.010
- 2025.08
- 의약학
- 임형순(Massachusetts General Hospital, Harvard Medical School)
Differential dementia detection from multimodal brain images in a real-world dataset
- Alzheimers. Dement. Jul 2025, 21 (7) | https://doi.org/10.1002/alz.70362
- 2025.07
- 의약학
A Multimodal Predictive Model for Chronic Kidney Disease and Its Association With Vascular Complications in Patients With Type 2 Diabetes: Model Devel
- Diabetes Care Jul 01 2025, dc250355 | https://doi.org/10.2337/dc25-0355
- 2025.07
- 바이오·의료융합
- Aaron Y Lee(University of Washington)
The March to Harmonized Imaging Standards for Retinal Imaging
- Prog. Retin. Eye Res. May 11 2025, S1350-9462(25)00036-9 | https://doi.org/10.1016/j.preteyeres.2025.101363
- 2025.05
- 백민준(Massachusetts General Hospital and Harvard Medical School, 현 KAIST)
- 최학수(Massachusetts General Hospital and Harvard Medical School)
Design Considerations for Organ-Selective Nanoparticles
- ACS Nano Apr 22 2025, 19 (15) | https://doi.org/10.1021/acsnano.5c00484
- 2025.04
- 바이오·의료융합
- 송윤성(Harvard Medical School)
Deactivated Cas9-Engineered Magnetic Micromotors toward a Point-of-Care Digital Viral RNA Assay
- ACS Nano Feb 28 2025, | https://doi.org/10.1021/acsnano.4c14913
- 2025.02
- 바이오·의료융합
LLM-driven multimodal target volume contouring in radiation oncology
- Nat. Commun. Oct 24 2024, 15 (1) 9186 | https://doi.org/10.1038/s41467-024-53387-y
- 2024.10
- 바이오·의료융합
Explainable artificial intelligence-driven prostate cancer screening using exosomal multi-marker based dual-gate FET biosensor
- Biosens. Bioelectron. Sep 10 2024, 267 S0956-5663(24)00779-6 | https://doi.org/10.1016/j.bios.2024.116773
- 2024.09
- 바이오·의료융합
- Lei Wang(전남대학교)
- 이동원(전남대학교)
The PolyCraft Polymer?Metal Hybrid Smart Stent System: The Future of Cardiovascular Blood Pressure Management
- Adv. Funct. Mater. 07 August 2024 | https://doi.org/10.1002/adfm.202408022
- 2024.08
- 홍남기(연세대학교 의과대학)
The potential role for artificial intelligence in fracture risk prediction
- Lancet Diabetes Endocrinol. Jun 25 2024, S2213-8587(24)00153-0 | https://doi.org/10.1016/S2213-8587(24)00153-0
- 2024.06
- 의약학
Bio-Inspired Sensory Receptors for Artificial-Intelligence Perception
- Adv. Mater. May 03 2024, | https://doi.org/10.1002/adma.202403150
- 2024.05
Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology
- Med. Image Anal. Nov 07 2023, 91 S1361-8415(23)00281-5 | https://doi.org/10.1016/j.media.2023.103021
- 2023.11
- 바이오·의료융합
- 이제연(Mayo Clinic, 한양대학교)
Synthesizing images of tau pathology from cross-modal neuroimaging using deep learning.
- Brain Oct 07 2023, awad346 | https://doi.org/10.1093/brain/awad346
- 2023.10
- 바이오·의료융합
- 임형순(Massachusetts General Hospital, Harvard Medical School)
Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting
- npj Digit. Med. 2023 Jul 13;6(1):129 | https://doi.org/10.1038/s41746-023-00868-x
- 2023.07
- 바이오·의료융합
류기선

Mayo Clinic

In this manuscript, we used machine-learning to identify any medication classes that might be associated with improved outcomes in patients with monoclonal gammopathy of undetermined significance (MGUS). Specifically, we used XGBoost to perform survival analysis on a large, retrospective cohort of MGUS patients who had medication data available.
- Blood Cancer J.
- 2023.05.15
An Integrated Digital Health Care Platform for Diabetes Management With AI-Based Dietary Management: 48-Week Results From a Randomized Controlled Tria
- Diabetes Care 2023 Feb 23;dc221929 | https://doi.org/10.2337/dc22-1929
- 2023.02
- 의약학
Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction
- npj Digit. Med. Published: 02 February 2023 | https://doi.org/10.1038/s41746-023-00748-4
- 2023.02
- 의약학