Dry Eye Disease: An Overview of Its Risk Factors, Diagnosis, and Prevalence by Age, Sex, and Race.

This short review focuses on the significance and prevalence of dry eye disease (DED) in the arena of ophthalmology. DED can be identified as one of the most common optical morbidities affecting about one-fourth of the patients visiting ophthalmology clinics. The perception of the cytology and disease evolution of DED has shown a noteworthy advancement in the last decade by recognizing two diverse mechanisms of the disease: tear desertion and deficient tear production. The role of these two components independently or concurrently in the prevalence of DED was also understood. Several studies in different parts of the world have projected that DED is more common in women as compared to men and this difference increases with ageing. Aged people, especially women in the menopausal and post-menopausal stages, are more prone to DED. This ailment is more prevalent in patients suffering from autoimmune diseases with a higher percentage of women getting affected. Various everyday activities as well as social and dietary behaviors like smoking might set off DED symptoms. Extensive visual tasking while using a computer, watching television, and doing a lot of reading also increase the risk of DED. Although DED occurs in all age groups, it is seen in very few children in comparison to adults. In fact, DED in children may be related to diverse factors such as congenial, inflammatory, and autoimmune disorders as well as environmental conditions and nutritional deficiencies. A significant relationship has also been found between DED and racial differences among individuals. A few studies have suggested that the Asian population is more susceptible to DED as compared to the Caucasian population, but this concept needs further research and investigation. Climatic conditions and environmental challenges, such as relative humidity (RH), internal atmosphere, effluence, travel by air, and intense temperatures, are equally important in the occurrence of DED. The present review aims to examine the prevalence of DED in relation to age, sex, and race by analyzing several relevant studies and also have an overview of the diagnosis and risk factors of the disease.

Artificial Intelligence With Robotics in Healthcare: A Narrative Review of Its Viability in India.

This short review focuses on the emerging role of artificial intelligence (AI) with robotics in the healthcare sector. It may have particular utility for India, which has limited access to healthcare providers for a large growing population and limited health resources in rural India. AI works with an amalgamation of enormous amounts of data using fast and complex algorithms. This permits the software to quickly adapt the pattern of the data characteristics. It has the possibility to collide with most of the facets of the health system which may range from discovery to prediction and deterrence. The use of AI with robotics in the healthcare sector has shown a remarkable rising trend in the past few years. Functions like assistance with surgery, streamlining hospital logistics, and conducting routine checkups are some of the tasks that may be managed with great efficiency using artificial intelligence in urban and rural hospitals across the country. AI in the healthcare sector is advantageous in terms of ensuring exclusive patient care, safe working conditions where healthcare providers are at a lower risk of getting infected, and perfectly organized operational tasks. As the healthcare segment is globally recognized as one of the most dynamic and biggest industries, it tends to expedite development through modernization and original approaches. The future of this lucrative industry is looking forward to a great revolution aiming to create intelligent machines that work and respond like human beings. The future perspective of AI and robotics in the healthcare sector encompasses the care of elderly people, drug discovery, diagnosis of deadly diseases, a boost in clinical trials, remote patient monitoring, prediction of epidemic outbreaks, etc. However, the viability of using robotics in healthcare may be questionable in terms of expenditure, skilled workforce, and the conventional mindset of people. The biggest challenge is the replication of these technologies to the smaller towns and rural areas so that these facilities may reach the larger segment of the entire population of the country. This review aims to examine the adaptability and viability of these new technologies in the Indian scenario and identify the major challenges.