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Artificial intelligence (AI) has the potential to be a game-changer in addressing the shortage of radiologists and diagnosticians in India. With such a vast population and a relatively small number of specialists, AI supports in several ways to improve diagnostic accuracy, bring in workflow efficiency and highlight potential areas of concern in diagnostic images.
In India, there is a dire shortage in the number of radiologists and diagnosticians. To put it in terms of numbers, India currently only has approximately 20,000 radiologists to serve a population of over 1.4 billion people. It is in this scenario that AI applications may be able to help; AI-driven insights can be used to improve decision-making, personalize patient care, and streamline operations, said Prasanth Madavana, co-founder & CEO, Fedo.ai, a self-learning platform that uses AI, ML (machine learning) and cognitive computing to predict an individual’s risk of contracting lifestyle diseases.
“Encouraging research and development in AI and ML (machine learning) applications can improve diagnostic precision, expedite the interpretation of medical pictures, and lessen radiologists' workload in the specialized field of diagnostics. By bridging the gap between the increased demand for diagnostic services and the shortage of radiologists, these innovations can help ensure more accurate and quick diagnoses for patients throughout India,” he added.
AI is currently being applied to a wide range of healthcare tasks in order to improve diagnosis and therapy as well as patient involvement and administrative efficiency. AI-driven chatbots and virtual assistants aid in patient engagement by answering questions, setting up appointments, and sending out reminders, resulting in more individualized and ongoing treatment. It is easing load on medical staff by automating repetitive procedures, monitoring patient records, and streamlining hospital workflows.
Another important area where AI is advancing is precision medicine, which allows individualized treatment regimens based on a patient's genetic composition. It changing how doctors identify diseases and design treatments. Medical pictures, including x-rays, MRIs, and CT scans, are analyzed by AI-powered devices with amazing accuracy, frequently identifying abnormalities that a human eye could miss, he said.
Robotic equipment with AI algorithms enable intricate surgical procedures with greater accuracy. These devices can lessen the possibility of human error and speed up recuperation. By evaluating enormous datasets to find trends, AI forecast results, helping to hasten novel therapy developments.
“Effective and advanced AI models, can rapidly evaluate facial expressions, vital signs, and other health indicators, giving physicians useful information to help them make exact treatment decisions,” said Madavana.
Additionally, AI has evolved to continuously analyze patient data, to better manage chronic conditions including diabetes, hypertension, and heart disease is ensured by an AI-driven proactive strategy, which lowers the risk of complications and hospital readmissions.
In the area of elderly care, AI's real-time, non-intrusive monitoring technology enables caregivers to closely monitor the health of their loved ones allowing for prompt action and improved care in general.
However, data security and patient privacy become more pressing issues as AI health applications become more integrated with digital systems. The collection and use of patient data demand close scrutiny. This calls for the need to establishing clear regulations to address these ethical concerns, said Madavana.
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