外科医生在骨折数据集预览旁进行手术
医疗保健领域的人工智能

医疗保健领域的人工智能:更智能、更健康的未来解决方案



拯救生命。缩短时间。增强专家能力。

到 2030 年,人工智能将如何改变医疗保健:

更强大的预测

发现病人易患的疾病。

更快的分析

以超高效率处理复杂数据,提供更快的洞察力。

更高效的医疗保健系统

自动化繁重的行政工作,优化工作流程,治疗更多病人。

人工智能创造医疗奇迹的 6 个案例

01

提供早期诊断

人工智能数据库可计算数百万个症状和诊断,使医疗专业人员能够更准确地识别最罕见的疾病。

利用人工智能检测肺病
分析为医疗目的训练的模型
02

减少再入院

1.预测患者趋势

2.

3. 保护医院资源并优化流程。保护医院资源并优化流程。

03

检测欺诈性
支付活动

优先处理最可疑的案件,重点关注最有可能发生欺诈的情况。

利用我们的先进技术检测异常情况,执行实时分析,迅速识别并防止欺诈交易。

一位妇女在清单旁工作
团队成员之间的语音气泡
04

跟踪不按处方用药的患者

制定鼓励坚持用药的干预策略。据估计,美国每年因不遵医嘱而造成的损失高达 3000 亿美元。

让我们一起用人工智能拯救生命!

将人工智能融入您的业务,让您与众不同

展示视觉人工智能在医疗保健领域应用的应用程序

1. Medical Imaging Interpretation

Ultralytics Vision AI can analyze medical images such as X-rays, MRIs and CT scans. This helps to identify and interpret abnormalities, tumors, or anomalies with high precision, aiding radiologists in diagnostics.

2. Pathology Image AnalysisVision

AI assists pathologists in analyzing tissue samples at a microscopic level. That automates the detection of cancerous cells, grades tumors, and improves the efficiency of the pathology workflow.

3. Retinal Scans for Disease Detection

Machine learning analyzes retinal images to detect early signs of eye diseases such as diabetic retinopathy and age-related macular degeneration. This enables timely intervention and prevention of vision loss.

4. Dermatology Image Analysis

Dermatologists receive assistance in diagnosing skin conditions as AI analyzes images of skin lesions, moles, or rashes. Our technology can provide insights into potential diseases and guides appropriate treatment plans.

5. Endoscopy and Colonoscopy Assistance

AI assists in real-time analysis of endoscopic and colonoscopic images, helping clinicians identify abnormalities, polyps, or lesions during procedures. This translates into more accurate diagnoses.

6. Surgical Assistance and Navigation

Vision AI guides surgeons during procedures by providing real-time feedback on anatomy, highlighting critical structures, and improving precision in minimally invasive surgeries.

7. Fall Detection and Elderly Care

Cameras equipped with vision AI in healthcare facilities or homes can detect falls or unusual movements. That ensures timely assistance for elderly individuals and enhanced patient safety.

8. Facial Recognition for Patient

IdentificationUltralytics Vision AI can assist in patient identification by analyzing facial features, improving accuracy in matching patients to their medical records. This ensures secure access to healthcare information.

9. Gesture Recognition for Rehabilitation

Our technology can monitor and analyze patient movements during rehabilitation exercises, which aids: 

- Providing real-time feedback to both patients and therapists 
- Optimizing rehabilitation programs.

10. Monitoring Compliance with Hygiene Protocols

Cameras with AI monitor healthcare facilities to ensure compliance with hygiene protocols such as: 

- Proper handwashing techniques 
- Use of personal protective equipment, enhancing infection control.

11. Early Infant Health Monitoring

Thanks to video footage analysis in neonatal intensive care units, AI can detect subtle signs of distress in preterm infants, allowing for prompt medical interventions.

12. Visualizing Blood Flow Patterns

Vision AI processes imaging data to visualize blood flow patterns. This aides cardiologists in assessing cardiovascular health and identifying abnormalities in blood vessels.

了解我们为其他行业提供的人工智能解决方案

医疗保健解决方案常见问题

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