In an era marked by technological advancements, the integration of Artificial Intelligence (AI) into healthcare services is garnering increasing attention. The aftermath of the Covid-19 pandemic has underscored the significance of health, prompting a surge in healthcare platforms leveraging AI to address diverse needs, extending beyond weight loss to encompass comprehensive well-being and medical support.
Dr. Amit Kharat, radiologist and CEO of Deeptek.ai, notes a notable shift in the perception of AI in healthcare. Once considered a futuristic luxury, AI is now emerging as a necessity, ensuring equitable healthcare access. Dr. Arbinder Singal, CEO of Fitterfly, emphasizes that the evolving healthcare landscape demands personalized insights and engagement, leading to the utilization of AI to bridge existing gaps.
AI in Weight Loss Programs: Weight management applications like Fitelo are utilizing AI to proactively address health conditions through lifestyle and dietary modifications. While technology plays a pivotal role, Fitelo maintains a balance by integrating human intelligence (HI), combining data-driven insights with expert guidance for sustainable weight loss solutions. The introduction of ‘Family Diet Plans’ reflects a growing trend of collective health consciousness among families.
AI for Diabetes, Obesity, and Heart Health: Fitterfly focuses on diabetes management, offering a platform for personalized glycemic response. The application utilizes AI to calculate glycemic responses, incorporating psychological support for stress management and sleep patterns. Singal emphasizes the importance of lifestyle management and plans to expand AI-led coaching, risk prediction, and medication effectiveness assessments. Future initiatives include a Heart Health program to quantify heart disease risks.
AI in Radiology: Deeptek.ai addresses the critical shortage of radiologists in India by introducing AI into radiology workflows. Augmento, a radiology AI deployment platform, enhances productivity and quality by prioritizing critical cases, streamlining workflows, and assisting in complex case analyses. The platform’s vendor-neutral approach allows seamless integration of third-party AI models into existing workflows. Future plans include precision-driven AI models, bias detection and mitigation strategies, and voice-activated radiology solutions.
As these platforms harness the potential of AI, they aim to provide reliable diagnoses, actively mitigate biases, and offer innovative solutions for healthcare professionals, shaping the future of the medical landscape.
