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Last Updated: Apr 25, 2025 | Study Period: 2022-2027
AI is particularly good at finding patterns in vast amounts of data, deriving correlations between complicated aspects in the data, and discovering properties in data (such as photos) that the human brain cannot see.
It has already shown success in radiology, where physicians employ computers to quickly interpret pictures, allowing radiologists to spend their attention on issues that require their technical judgement.
The FDA, for instance, authorized the first AI-based technology to interpret pictures quickly and aid radiologists in identifying breast cancer in routine mammography that year and.
| S No | Overview of Development | Development Detailing | Region of Development | Possible Future Outcomes |
| 1 | AI projects are improving cancer screening and outcomes | In consequence, the World Economic Forum India's Centre for Fourth Industrial Revolution has launched a cancer-care initiative in collaboration with Microsoft. | Global | This would enhance better Technological Controls |
| 2 | Artificial intelligence is improving the detection of lung cancer | Early detection using machine learning algorithms might save lives. | Global | This would enhance better Technological Controls |
| 3 | Artificial Intelligence Help See Cancer in New, and Better, Ways | When it comes to the convergence of artificial intelligence and cancer research, this model is only the beginning. | Global | This would enhance better Technological Controls |
| 4 | Artificial Intelligence in Cervical Cancer Screening and Diagnosis | They have fewer drawbacks, such as lower time consumption, fewer professional and technical people requirements, and no prejudice due to subjective considerations. | Global | This would enhance better Technological Controls |
| 5 | An AI-Powered Blood Test to Detect Cancer Using NanoDSF | This promising method may now be applied to different types of malignancies, potentially transforming it into a powerful pan-cancer diagnostic and monitoring tool that just requires a simple blood test. | Global | This would enhance better Technological Controls |
Despite its widespread use, breast cancer screening is fraught with debate, according to the investigators: Detection techniques that are more aggressive are designed to maximise the advantages of timely identification, whilst screenings that are less frequent are designed to decrease false positives, anxiety, and expenditures for people who will never acquire breast cancer.
The researchers argue that in order to incorporate image-based risk models into clinical treatment and make them broadly available, the models needed both algorithmic enhancements and large-scale verification across numerous institutions to verify their reliability.
GE Healthcare is a leading mobiliser of the self-sensing composites solutions involving various industrial application and solutions requirements in the market. The GE Invenia ABUS 2.0, the first FDA-approved ultrasonography device providing supplementary screening in women with thick breasts, can offer radiologists with a quick and accurate screening tool to identify many malignancies that mammography may overlook throughout this patient group. The unique Reverse Curve transducer moves automatically to provide a three-dimensional picture from each breast.
AbbottLaboratories is part of the component manufacture trending companies in the current industry. Its latest addition has been brought in through A machine-learning-based method might provide clinicians with a more personalised calculation, utilising an extreme kind of sickness that can develop swiftly and distributed throughout the body.
There is presently no screening test for bowel cancer serum in the United States. Physicians, on the other hand, frequently employ serum diagnostics testing to determine the existence of various disorders.
| Sl no | Topic |
| 1 | Market Segmentation |
| 2 | Scope of the report |
| 3 | Abbreviations |
| 4 | Research Methodology |
| 5 | Executive Summary |
| 6 | Introduction |
| 7 | Insights from Industry stakeholders |
| 8 | Cost breakdown of Product by sub-components and average profit margin |
| 9 | Disruptive innovation in theIndustry |
| 10 | Technology trends in the Industry |
| 11 | Consumer trends in the industry |
| 12 | Recent Production Milestones |
| 13 | Component Manufacturing in US, EU and China |
| 14 | COVID-19 impact on overall market |
| 15 | COVID-19 impact on Production of components |
| 16 | COVID-19 impact on Point of sale |
| 17 | Market Segmentation, Dynamics and Forecast by Geography, 2022-2027 |
| 18 | Market Segmentation, Dynamics and Forecast by Product Type, 2022-2027 |
| 19 | Market Segmentation, Dynamics and Forecast by Application, 2022-2027 |
| 20 | Market Segmentation, Dynamics and Forecast by End use, 2022-2027 |
| 21 | Product installation rate by OEM, 2022 |
| 22 | Incline/Decline in Average B-2-B selling price in past 5 years |
| 23 | Competition from substitute products |
| 24 | Gross margin and average profitability of suppliers |
| 25 | New product development in past 12 months |
| 26 | M&A in past 12 months |
| 27 | Growth strategy of leading players |
| 28 | Market share of vendors, 2022 |
| 29 | Company Profiles |
| 30 | Unmet needs and opportunity for new suppliers |
| 31 | Conclusion |
| 32 | Appendix |
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