Robotics and Surgery
5.1 Robotic-Assisted Surgery
- Example 1: The da Vinci Surgical System utilizes deep learning algorithms to assist surgeons in performing minimally invasive surgeries with enhanced precision and control, reducing recovery times and improving patient outcomes.
- Example 2: Medtronic’s Mazor X Stealth Edition combines deep learning with robotics to enhance spine surgery accuracy, providing surgeons with real-time guidance and improving surgical precision.
5.2 Rehabilitation and Assistive Devices
- Example 1: ReWalk Robotics uses deep learning to develop exoskeletons that help paraplegic patients walk again, adapting to the user’s movements and providing tailored support.
- Example 2: Ekso Bionics’ EksoGT exoskeleton employs deep learning to assist patients with stroke and spinal cord injuries in rehabilitation, enhancing mobility and facilitating recovery through personalized therapy.
Applications of Deep Learning In Healthcare
Deep learning has revolutionized various industries, and healthcare is no exception. By processing vast amounts of data and identifying patterns that are often invisible to the human eye, Deep learning in Healthcare is Transforming how medical professionals diagnose diseases, predict patient outcomes, and develop personalized treatments.
In this article we will explore Various Application of Deep Learning in Healthcare
Table of Content
- 1. Medical Imaging and Diagnostics
- 1.1 Breast Cancer Detection
- 1.2 Lung Disease Diagnosis
- 2. Predictive Analytics and Risk Assessment
- 2.1 Diabetes Management
- 2.2 Hospital Readmission Risk
- 3. Personalized Medicine
- 3.1 Genomic Analysis for Cancer Treatment
- 3.2 Drug Response Prediction
- 4. Natural Language Processing in Healthcare
- 4.1 Clinical Documentation Automation
- 4.2 Information Extraction from EHRs
- 5. Robotics and Surgery
- 5.1 Robotic-Assisted Surgery
- 5.2 Rehabilitation and Assistive Devices
In this article we will explore about various Application of Deep Learning in Healthcare .