This database allows you to search the CDRH's database information on medical devices which may have malfunctioned or caused a death or serious injury during the years 1992 through 1996.

A 100,000-patient database that contains in total 100,000 virtual patients, 361,760 admissions, and 107,535,387 lab observations.

• Report Overview
• Key Takeaways
• Driving Factors
• Restraining Factors
• Growth Opportunities
• Trending Factors
• Type Analysis
• Product Analysis
• Material Analysis
• End-User Analysis
• Key Market Segments
• Regional Analysis
• Key Players Analysis
• Recent Developments
• Report Scope:

Report Overview

The Global Medical Carts Market size is expected to be worth around USD 7.1 Billion by 2033, from USD 2.1 Billion in 2023, growing at a CAGR of 12.7% during the forecast period from 2024 to 2033.

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Project Overview: The goal of this project is to develop a computer vision system that can accurately classify medication blisters as either full or empty. This system will aid in automating the verification process of medication blister packs, ensuring the correct dispensing of medications in healthcare settings. By leveraging machine learning techniques and image analysis algorithms, the system will be trained on a dataset of labeled images to achieve high accuracy in blister classification.

Class Types:

Full Blister: This class represents medication blisters that contain the intended number of pills or capsules. Images labeled as "full" will be used as positive examples during the training phase.

Empty Blister: This class represents medication blisters that do not contain any pills or capsules. Images labeled as "empty" will serve as negative examples during training.

This statistic represents the breakdown of French people giving up a treatment prescribed by a conventional doctor to replace it by an alternative medicine treatment in 2019. It shows that the majority of respondents, 74 percent, had not given up following a treatment prescribed by a doctor to replace it with an alternative medicine treatment.

Alternative medicine, also called complementary or integrative medicine among others, designates therapeutic practices residing outside classical medical science which originated from oriental, ancestral or innovative traditions. Among those alternative medicines, we can for example find acupuncture (from Chinese medicine), Ayurvedic medicine, herbal medicine, osteopathy or homeopathy.

The UMLS integrates and distributes key terminology, classification and coding standards, and associated resources to promote creation of more effective and interoperable biomedical information systems and services, including electronic health records.

The global medical terahertz technology market is valued at US$ 135.29 Million in 2022 and is projected to grow at a CAGR of 17.1% during the forecast period, reaching a value of US$ 768.05 Million by 2032.

Scope of Report

Dataset

This dataset was created by rjain777

Contents

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The medical image analysis software market has the potential to grow by USD 1.53 billion during 2021-2025, and the market’s growth momentum will accelerate at a CAGR of 7.90%.

This medical image analysis software market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers market segmentation by type (standalone and integrated) and geography (North America, APAC, Europe, South America, and MEA). The medical image analysis software market report also offers information on several market vendors, including Agfa-Gevaert NV, AnalyzeDirect Inc., AQUILAB SAS, Carestream Health Inc., Esaote SpA, General Electric Co., International Business Machines Corp., Koninklijke Philips NV, Mirada Medical Ltd., and Siemens AG among others.

What will the Medical Image Analysis Software Market Size be in 2021?

Browse TOC and LoE with selected illustrations and example pages of Medical Image Analysis Software Market

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Medical Image Analysis Software Market: Key Drivers and Trends

Based on our research output, there has been a positive impact on the market growth during and post COVID-19 era. The advances in the medical imaging field is notably driving the medical image analysis software market growth, although factors such as growing concerns regarding data privacy and security may impede market growth. To unlock information on the key market drivers and the COVID-19 pandemic impact on the medical image analysis software industry get your FREE report sample now.

      The emergence of advanced technologies in medical imaging is a major factor driving the demand for medical imaging systems.
      With advanced research and technological evolution, medical imaging has seen numerous advances in technology.
      Open and portable MRIs, big data and analytics, and 3D technologies in diagnostic radiology are some of the latest advances that have increased the capabilities of medical imaging systems.
      Digital mammography has revolutionized breast cancer screening by providing greater detail and can generate results that are similar to conventional mammograms but without using film and X-rays.
      From the use of big data in medical imaging to the possibilities of 3D imaging, these advances are changing the future of medical imaging and leading to increased adoption of different medical imaging techniques.




      As the occurrence of chronic diseases increases in the population worldwide, there will be an increased use of medical imaging techniques and high demand for image analysis for improved diagnoses.
      The growing prevalence of chronic diseases and generally incurable conditions, such as cancer, cardiovascular conditions, diabetes, and asthma, is responsible for the increase in demand for medical imaging systems.
      Post-imaging analysis using advanced image analysis software helps in the early detection of chronic diseases and assesses the effectiveness of therapy on patients. 
      Medical imaging technology plays a major role in addressing chronic health concerns, as it helps in focusing on preventative health.
      Diagnostic imaging plays a crucial role in the early detection of chronic diseases and in monitoring disease progression. 

This medical image analysis software market analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. Get detailed insights on the trends and challenges, which will help companies evaluate and develop growth strategies.

Who are the Major Medical Image Analysis Software Market Vendors?

The report analyzes the market’s competitive landscape and offers information on several market vendors, including:

Agfa-Gevaert NV
AnalyzeDirect Inc.
AQUILAB SAS
Carestream Health Inc.
Esaote SpA
General Electric Co.
International Business Machines Corp.
Koninklijke Philips NV
Mirada Medical Ltd.
Siemens AG

The medical image analysis software market is fragmented and the vendors are deploying growth strategies such as creating awareness about the benefits of using medical image analysis software to compete in the market. Click here to uncover other successful business strategies deployed by the vendors.

To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

Download a free sample of the medical image analysis software market forecast report for insights on complete key vendor profiles. The profiles include information on the production, sustainability, and prospects of the leading companies.

Which are the Key Regions for Medical Image Analysis Software

This statistic shows forecasts for the global biomarker market in 2024 and 2029. By the year 2029, the market for biomarker technologies is expected to increase up to 88 billion U.S. dollars. Biomarkers are biomolecules present in blood, other bodily fluids, or tissues indicating either a normal or abnormal physiological process, or the presence of a condition or illness.

The prescription center is an electronic database for issuing and processing prescriptions (for medicines, baby foods, medical devices).

The global Asia Medical Imaging Informatics Market market size exceeded USD 5.15 billion in 2022 and is slated to register 15.5% CAGR between 2023 and 2033

The New England Journal of Medicine Abbreviation ISO4 - ResearchHelpDesk - The New England Journal of Medicine (NEJM) is the world’s leading medical journal and website. Published continuously for over 200 years, NEJM delivers high-quality, peer-reviewed research and interactive clinical content to physicians, educators, and the global medical community. Our mission is to bring physicians the best research and information at the intersection of biomedical science and clinical practice and to present this information in understandable and clinically useful formats that inform health care delivery and improve patient outcomes. To these ends, the NEJM editorial team employs rigorous: Editorial, peer, and statistical review processes to evaluate manuscripts for scientific accuracy, novelty, and importance. Policies and practices to ensure that authors disclose all relevant financial associations and that such associations in no way influence the content NEJM publishes. A truly global brand, NEJM keeps health care professionals at the leading edge of medical knowledge, helps them to gain broad understanding in their areas of interest, and provides valuable perspectives on the practice of medicine. Today, NEJM is the most widely read, cited, and influential general medical periodical in the world. More than 600,000 people from nearly every country read NEJM in print and online each week. Each year, NEJM receives more than 16,000 research and other submissions for consideration for publication. About 5% of original research submissions achieve publication by NEJM; more than half originate from outside the U.S. NEJM is cited more often in scientific literature than any other medical journal, and has the highest Journal Impact Factor (70.670) of all general medical journals (2018 Journal Citation Reports, Web of Science Group, 2019). NEJM is a Public Access Journal. All original research content is freely available on NEJM.org six months after the date of publication. In addition, qualifying low-income countries are granted free access to all articles on NEJM.org dating back to 1990. The editors may also make certain materials including articles on global health and of public health importance free to all readers immediately upon publication on NEJM.org

In order to facilitate public review and access, enrollment data published on the Open Data Portal is provided as promptly as possible after the end of each month or year, as applicable to the data set. Due to eligibility policies and operational processes, enrollment can vary slightly after publication. Please be aware of the point-in-time nature of the published data when comparing to other data published or shared by the Department of Social Services, as this data may vary slightly. As a general practice, for monthly data sets published on the Open Data Portal, DSS will continue to refresh the monthly enrollment data for three months, after which time it will remain static. For example, when March data is published the data in January and February will be refreshed. When April data is published, February and March data will be refreshed, but January will not change. This allows the Department to account for the most common enrollment variations in published data while also ensuring that data remains as stable as possible over time. In the event of a significant change in enrollment data, the Department may republish reports and will notate such republication dates and reasons accordingly. In March 2020, Connecticut opted to add a new Medicaid coverage group: the COVID-19 Testing Coverage for the Uninsured. Enrollment data on this limited-benefit Medicaid coverage group is being incorporated into Medicaid data effective January 1, 2021. Enrollment data for this coverage group prior to January 1, 2021, was listed under State Funded Medical. An historical accounting of enrollment of the specific coverage group starting in calendar year 2020 will also be published separately. The data represents number of active recipients who received benefits under a medical benefit plan in that calendar year. A recipient may have received benefits from multiple plans in the same year; if so that recipient will be included in multiple categories in this dataset (counted more than once.) For privacy considerations, a count of zero is used for counts less than five. NOTE: On April 22, 2019 the methodology for determining HUSKY A Newborn recipients changed, which caused an increase of recipients for that benefit starting in October 2016. We now count recipients recorded in the ImpaCT system as well as in the HIX system for that assistance type, instead using HIX exclusively. Also, the methodology for determining the address of the recipients changed: 1. The address of a recipient in the ImpaCT system is now correctly determined specific to that month instead of using the address of the most recent month. This resulted in some shuffling of the recipients among townships starting in October 2016. 2. If, in a given month, a recipient has benefit records in both the HIX system and in the ImpaCT system, the address of the recipient is now calculated as follows to resolve conflicts: Use the residential address in ImpaCT if it exists, else use the mailing address in ImpaCT if it exists, else use the address in HIX. This resulted in a reduction in counts for most townships starting in March 2017 because a single address is now used instead of two when the systems do not agree. NOTE: On February 14 2019, the enrollment counts for 2012-2015 across all programs were updated to account for an error in the data integration process. As a result, the count of the number of people served increased by 13% for 2012, 10% for 2013, 8% for 2014 and 4% for 2015. Counts for 2016, 2017 and 2018 remain unchanged. NOTE: On 11/30/2018 the counts were revised because of a change in the way active recipients were counted in one source system.

Used for inputting, retention, retrieval and analysis of medical data collection on workers exposed to pesticides. Number of records in dataset – 85,900. Contains sensitive medical in confidence data and personal data.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Services Less Medical Care Services in U.S. City Average (CUUR0000SASL5) from Mar 1957 to Mar 2024 about medical, urban, consumer, services, CPI, inflation, price index, indexes, price, and USA.

All results of the primary interrupted time-series results evaluating targeted and total border closures that met the following criteria: 1) at least seven days of data is available before and after the intervention point, 2) for multiple intervention time series, at least seven days has passed since the last intervention point, and 3) for multiple sequential targeted border closures, the second (or third) intervention is observed to indicate an increase of at least 20% of the world’s population being targeted by the new border closures.

Number of medical condition transactions in Queensland by month and transaction type.