AI & machine learning algorithms to strengthen medical research, healthcare delivery: Dr Tiwari

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The advent of artificial intelligence (AI) and machine learning algorithms have bolstered, medical research and healthcare delivery enabling to counter diseases, said Dr Ashutosh Tiwari, chairman and managing director, Vinoba Bhave Research Institute (VBRI).

Researchers are coming up with new AI-powered devices that can accurately diagnose diseases. A controlled study has shown that AI learning systems are definitely making it easier for medical professionals to detect deadly diseases at an early stage, he added.

Over the past few years, the world has witnessed some of the greatest medical advancements and technological innovations. The human race is set on the path to development that will lead to brightest of the future. Scientists and innovators globally have made breakthrough discoveries and innovations in the healthcare industry, medical research, and hospitals management. The days of pain-staking surgeries, long treatment procedures, limited resources, and techniques are thing of the past, he said.

Comparing medical research to a knight in a shining armor that saves mankind from ailments, Dr Tiwari said that all innovations span from robot-assisted surgery, heart sound analysis, patient safety, and other treatments to clinical training, drug safety, drug manufacture, mining medical records, controlled study, and risk assessment in real-time systems.

It is a fact that healthcare industry is evolving with advanced technology, Dr Tiwari told Pharmabiz adding that nanotechnology, genealogy, and healthcare are getting evolved by robotic learning systems to enable mining complex data based on AI and machine learning algorithms. These advanced systems are able to process language and image recognition for a controlled study of patients which helps in the reduction of healthcare cost. VBRI too specializes in providing a technology solutions for the healthcare sector.

Scientists are developing robots that are equipped with speech-recognition technology, knowledge-based systems, and natural language processing and sentiment analysis. These healthcare machines can form a likely diagnosis and even suggest appropriate course of action that should be taken. Additionally, they can detect emotions on basis of heart sound analysis, concept mining complex, risk assessment, and controlled study to engage in an empathetic conversation with patients.

Apart from the hospitals and consultations, technology and robotics are going to play a crucial role in drug manufacture, quality control, drug safety, and drug marketing. Keeping patient knowledge-based systems at the center of development process drug efficacy is another target, healthcare industry aim to achieve, he said.

Albeit artificial intelligence and machine learning is growing rapidly, it is yet to reach new heights. Patient safety is utmost priority for clinicians and hospitals, and they are taking every possible step to ensure healthcare in real-time, stated Dr Tiwari.

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