Upcoming technologies expand and enhance the delivery of medical services with its advancements and experts in the field. Advanced technologies provide more personalized treatments, facilitate care in remote areas, and prevent the overwhelming amount of data that burdens health experts.
The constant technological development paves the path towards the growth of connections via the internet, and the ability to process data has created better possibilities for the health sector development worldwide, especially in telemedicine.
Telemedicine uses communicating medical information through engaging online communication to conduct consultations, medical examinations and processes, and health expert collaborations remotely.
Telemedicine aims to connect the dots of accessibility and communication in the health sector, preventing delays and logistics costs. This has been made possible by implementing
AI and deep learning technologies.
With increasing AI and data analytics expertise, the telemedicine industry has improved productivity and gained more knowledge. This blog will focus on how telemedicine has transformed the healthcare sector with the help of AI and deep learning applications.
Topics to Cover
- Introduction to Telemedicine
- Introduction of AI in the Healthcare Sector
- Introduction of Deep Learning in Healthcare Sector
- How is AI Transforming Healthcare Sector
- The Future of Telemedicine, AI, and Deep Learning in the Healthcare Sector
Introduction to Telemedicine
Telemedicine plays a considerable role worldwide and is needed more than ever. Telemedicine is an advanced technological & digital way to render help to those who require it during these pandemic times. In addition, patients can communicate with health professionals and receive advice remotely with their smartphone apps. It's a need of the hour during such adverse times.
With end-to-end encrypted solutions, health professionals can virtually care for and follow up with their patients. Several apps gather patients' real-time information, blood glucose monitoring, EKG, and other such data that need to be monitored.
The advanced technologies have now enabled patients to be monitored remotely while experts tracking their progress and interfering if required. Several telemedicine solutions are already emerging in India, like Practo, Lybrate, CallHealth, and others.
Introduction of AI in the Healthcare Sector
AI has been around for decades, but its potential has been realized extensively in a couple of years, especially in 2020. AI can be implemented in multiple areas of healthcare, such as developing better solutions from current procedures to enhance operations by adding AI to medical devices and tools.
Moreover, AI can speedily detect patterns with accuracy, which is an excellent advantage for medical professionals.
Introduction of Deep Learning in Healthcare Sector
Deep learning in the healthcare sector is a subset of AI that offers revolutionary potential and creates an enriched layer to healthcare solutions. DL provides the medical industry the ability to evaluate data at a phenomenal rate without compromising precision.
Deep learning has already left an impression in the healthcare sector. Google has invested a lot of time evaluating how deep learning solutions can make forecasts and help clinicians in managing patient data & results.
Deep learning algorithms can recognize particular cancer types and visualizing solutions to recognize rare diseases or certain pathology types.
How is AI Transforming Healthcare Sector
This breakthrough tech can enhance diagnostics, increase patient adherence & engagement, advance treatments, and support admin & workflow productivity.
1) Advanced treatments
AI has become a precious solution for treating patients. For example, BCI (brain-computer interface) can help revive the ability to move and speak in patients who have lost it. Moreover, this tech can also enhance patients' life quality with spinal cord injuries, ALS, strokes, etc.
Machine learning can advance the use of immunotherapy, which has worked on only 20% of patients to date. A few companies are working to create new therapies using
ML and AI.
Moreover, it should be noted that clinical decision support systems can help medical experts to make improved decisions by evaluating historical, current, and new patient data. A few tech giants offer clinical support tools to help medical professionals make impactful and evidence-based decisions.
2) Enhancing Diagnostics
Artificial intelligence can help doctors diagnose patients by examining their symptoms, recommending tailored services, and forecasting risks.
Several medical providers and businesses are using AI-based symptom checkers. This ML tech asks patients a few insightful questions about symptoms and, depending on their answers, guides them to take steps further.
Deep learning solutions can assess vast amounts of data, including info about a patient's genetics, molecular analysis, lifestyle factors, and search relevant studies to help professionals choose treatments.
AI can create algorithms to forecast individual and population health risks to enhance results. According to sources, at a university, doctors used an ML algorithm to monitor innumerable variables in real-time to predict septic shock in individuals 12 hours before it occurs.
3) Detecting Disease
Visualization tools can advance the diagnostic process for medical professionals. A California-based company builds deep learning solutions to enhance radiology detection by evaluating medical data. These solutions help doctors better understand cancer aggressiveness.
As per reports, out of 32 deep learning algorithms, seven could detect lymph nodes in females with breast cancer more precisely compared to 11 pathologists.
4) Supports Admins and Workflow Efficiency
AI can enhance admins and workflow efficiency in the medical sector by robotizing some processes. For instance, medical documentation tools that use NLP can decrease the time invested in the documentation and rather focus on providing top-notch services.
Health insurance firms can also reap the benefit of AI through NLP tools to help insurers detect issues in a few seconds then days.
The Future of Telemedicine, AI, and Deep Learning in the Healthcare Sector
The healthcare sector has a bright future when it is engulfed by advanced technologies and incredible experts to use it to its complete potential. AI, ML, and deep learning present an opportunity to build solutions that serve particular needs in the field, but deep learning can come in handy for helping clinicians and revolutionizing patient services.
These advanced tools will continue to evolve the healthcare sector, especially now when more medical experts are identifying its value. The future of healthcare lies in the hands of medical experts and researchers, who are now backed up with the latest technologies in place.
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Harnil Oza is a CEO of HData Systems - Data Science Company & Hyperlink InfoSystem a top mobile app development company in Canada, USA, UK, and India having a team of best app developers who deliver best mobile solutions mainly on Android and iOS platform and also listed as one of the top app development companies by leading research platform.
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