Inside AI
Artificial Intelligence in health sector
AI applications ,challenges and research work in health sector
Artificial intelligence is prevailing everywhere , encompassing all domains of technology and solving critical issues without manual interventions.Health sector is too not untouched. According to Accenture data, key clinical health AI applications can potentially create $150 billion in annual savings for the United States healthcare sector by 2026.
How AI is making advancements in health sector?
- Nowadays data collection and data processing has become faster due to improvement in computing power.
- Increased volume and availability of health-related data from personal and healthcare-related devices.
- Growth of genomic sequencing databases
- Widespread implementation of electronic health records systems is aiding AI .
- Improvements in natural language processing and computer vision,enabling machines to replicate human perceptual processes.
- Enhanced the precision of robot-assisted surgery.
Applications of AI in health sector
1. In Medical Diagnostics
- Chat bots: Companies are using AI-chat bots with speech recognition capability to identify patterns in patient symptoms to form a potential diagnosis, prevent disease and/or recommend an appropriate course of action.
- Oncology: Researchers are using deep learning to train algorithms to recognize cancerous tissue at a level comparable to trained physicians
- Pathology: Pathology is the medical specialty that is concerned with the diagnosis of disease based on the laboratory analysis of bodily fluids such as blood and urine, as well as tissues. Machine vision and other machine learning technologies can enhance the efforts traditionally left only to pathologists with microscopes.
- Rare Diseases: Facial recognition software is being combined with machine learning to help clinicians diagnose rare diseases. Patient photos are analyzed using facial analysis and deep learning to detect phenotypes that correlate with rare genetic diseases.
2. Drug development
With artificial intelligence being used in drug discovery, the market’s value is growing rapidly. In its Global Artificial Intelligence in Drug Discovery Market Size Analysis, 2018–2028, Bekryl indicates that AI has the potential to create $70 billion in savings in the drug discovery process by 2028.
- Preliminary but crucial stages including designing a drug’s chemical structure.
- Using a convolutional neural network that is able to extract the shape of a molecule and then confront it with the information gathered about the properties.
- Investigating the effect of a drug — both in basic preclinical research and clinical trials, in which a lot of biomedical data is produced. Finding new patterns in those data can be facilitated by machine learning.
3. Patient monitoring and care
- AI-powered wearable technology to provide remote monitoring of patients once they’ve been discharged. It reduce visits to the emergency department, minimize re admissions, and avoid hospitalization.
Survey of research projects on patient monitoring on semantic scholar
Challenges for AI in health sector
In order for AI technology in the healthcare industry to be adopted, tech companies must develop solutions that can address each of these concerns.
- Protecting Data Security And Patient Privacy
- Transparency: A doctor needs to be able to understand and explain why a certain procedure was recommended by an algorithm. This necessitates the development of more intuitive and transparent prediction-explanation tools.
- Tools and technology needed to support AI are still in developing stage and not advanced.
Top five leading startups in AI healthcare
- Flatiron Health: Country: USA | Funding: $313M
Flatiron Health is a healthcare technology and services company focused on accelerating cancer research and improving patient care. It uses machine-learning algorithms to analyse the world’s largest real-world oncology data source. - Tempus Labs: Country: USA | Funding: $210M
Tempus is a technology company that is building the world’s largest library of molecular and clinical data and an operating system to make that data accessible and to battle cancer. - BenevolentAI: Country: UK | Funding: $202M
BenevolentAI is applying artificial intelligence to develop new medicines for hard to treat diseases. It is the first fully integrated AI company with pharmaceutical discovery and clinical development capabilities. BenevolentAI’s advanced technology is disrupting the pharmaceutical industry by lowering costs, decreasing failure rates and increasing the speed at which medicines are delivered to patients. - Sophia Genetics: Country: France | Funding: $140M
Sophia Genetics developed SOPHiA, a collective artificial intelligence for clinical genomics, helping healthcare professionals better diagnose and treat patients. - Babylon Health: Country: UK | Funding: $85M
Babylon is a subscription health service provider that enables users to have virtual consultations with doctors and health care professionals via text and video messaging through its mobile application. Babylon app also uses AI to answer questions you normally ask your family doctor.
Conclusion
AI potential in health care industry is surging and there are immense possibilities for research work in this area.You have explored how AI is making advancements , what are applications and challenges in field of health industry.
references:
AI startups
Wikipedia
