The medical device industry is undergoing rapid change as innovation accelerates, new business models emerge, and artificial intelligence and the Internet of Things create disruptive possibilities in health care. On the innovation front, global annual patent applications related to medical devices have tripled in 10 years, and technology cycle times have halved in just 5 years. Connectivity has exploded-by 2021, the world will have more than three times as many smart connected devices as people-and more and more medical devices and processes contain integrated sensors. In this article, we report on recent McKinsey (McKinsey & Company, New York, New York) work to map start-ups and trends shaping the future of medical imaging. We identify technology clusters with prospects of future growth, look at some of their cutting-edge practices, and consider what the implications may be for our specialty.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jacr.2018.09.050 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Prognostic value of manual versus automatic methods for assessing extents of resection and residual tumor volume in glioblastoma.
J Neurosurg
January 2025
1Department of Neurosurgery, St. Olav's University Hospital, Trondheim, Norway.
Objective: The extent of resection (EOR) and postoperative residual tumor (RT) volume are prognostic factors in glioblastoma. Calculations of EOR and RT rely on accurate tumor segmentations. Raidionics is an open-access software that enables automatic segmentation of preoperative and early postoperative glioblastoma using pretrained deep learning models.
View Article and Find Full Text PDFDysregulation of the Kynurenine Pathway in Relapsing Remitting Multiple Sclerosis and Its Correlations With Progressive Neurodegeneration.
Neurol Neuroimmunol Neuroinflamm
March 2025
Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney.
Background And Objectives: Despite the absence of acute lesion activity in multiple sclerosis (MS), chronic neurodegeneration continues to progress, and a potential underlying mechanism could be the kynurenine pathway (KP). Prolonged activation of the KP from chronic inflammation is known to exacerbate the progression of neurodegenerative diseases through the production of neurotoxic metabolites. Among the 8 KP metabolites, six of them, namely kynurenine (KYN), 3-hydroxylkynurenine (3HK), anthranilic acid (AA), kynurenic acid (KYNA), and quinolinic acid (QUIN), have been associated with neurodegeneration.
View Article and Find Full Text PDFThe impact of shelter-in-place during the COVID-19 pandemic on social support for mental health recovery: A prescribing-oriented qualitative study of patient perspectives.
PLoS One
January 2025
Kaiser Permanente San Jose Psychiatry, San Jose, California, United States of America.
The COVID-19 pandemic created unprecedented challenges for social connectivity and mental health, especially during mandated shelter-in-place periods. For patients engaged in mental health treatment, the social impact of their shelter-in-place experience remains an area of active investigation. This is particularly relevant in the context of social prescribing, a growing area of clinical intervention where healthcare providers actively refer patients to local social resources or activities to enhance mental health and wellbeing.
View Article and Find Full Text PDFArtificial intelligence applied in identifying left ventricular walls in myocardial perfusion scintigraphy images: Pilot study.
PLoS One
January 2025
Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania, Brazil.
This paper proposes the use of artificial intelligence techniques, specifically the nnU-Net convolutional neural network, to improve the identification of left ventricular walls in images of myocardial perfusion scintigraphy, with the objective of improving the diagnosis and treatment of coronary artery disease. The methodology included data collection in a clinical environment, followed by data preparation and analysis using the 3D Slicer Platform for manual segmentation, and subsequently, the application of artificial intelligence models for automated segmentation, focusing on the efficiency of identifying the walls of the left ventricular. A total of 83 clinical routine exams were collected, each exam containing 50 slices, which is 4,150 images.
View Article and Find Full Text PDFRuntime Analysis of Typical Decomposition Approaches in MOEA/D for Many-Objective Optimization Problems.
Evol Comput
January 2025
College of Science, Northwest A&F University, Yangling 712100, China
Decomposition-based multi-objective evolutionary algorithms (MOEAs) are popular methods utilized to address many-objective optimization problems (MaOPs). These algorithms decompose the original MaOP into several scalar optimization subproblems, and solve them to obtain a set of solutions to approximate the Pareto front (PF). The decomposition approach is an important component in them.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!