Background and Objectives: Artificial intelligence (AI) as a field has recently gained a lot of importance and is expected to revolutionize the health-care scenario in the near future. There have been no studies done worldwide to review the status of research with respect to the use of AI in health care. Hence, we conceptualized this study to get an overview of the clinical studies being conducted in the field of AI, by analyzing those registered on the Food and Drug Administration trial registry website. Methodology: All the clinical studies conducted in the field of AI registered on the ClinicalTrials.gov website up to September 2019 were reviewed and analyzed. The variables such as geographical distribution, study design, status of study whether ongoing or completed, therapy area, type of intervention tested, type of funding, and year of initiation of study were recorded. The data were analyzed using descriptive statistics using SPSS for Windows, Version 16.0 (SPSS Inc. Chicago, IL, USA). Results: Out of all the studies registered, 156 were related to AI. Of these 156 studies, 84 were interventional and 72 were observational. The most common therapy area under study was oncology with 26.3% studies, followed by cardiology, ophthalmology, psychiatry, and neurology. Devices comprised the most common intervention being studied, accounting to 34% of studies, followed by diagnostics which included 28% of studies. In the first 8 months of 2019 itself, 65 studies had been registered. Conclusion: The study revealed an increasing trend in the studies being conducted using AI techniques, with majority being conducted in the area of oncology, with medical devices being the most common intervention being tested.
Context: The elderly in India form a heterogeneous subset of the population with significant disease burden variations. However, there are no data available regarding the type of research studies conducted in an elderly population in India. Aims: The aim of this study was to analyze the research studies conducted in the elderly population in India based on data from the Clinical Trials Registry of India (CTRI). Settings and Design: This was an “audit” of available data on the CTRI website. Participants and Methods: Following exemption from the Institutional Ethics Committee, all studies in the elderly population registered in CTRI from its inception (July 2007 to August 2019) were reviewed. Data captured with respect to geographical distribution, study designs used, therapy area, trial registration, and funding. Statistical Analysis Used: The variables were analyzed using descriptive statistics using SPSS version 16.0. Results: Out of a total of 21,400 studies in CTRI, a total of 99 (0.46%) studies involved only elderly patients. Of these studies, 60 (60.6%) were interventional, whereas 39 (39.4%) were observational. Of all the interventional studies, 17 (28%) tested drugs, 26 (43%) tested a lifestyle intervention, and the rest were nutraceuticals, Ayurveda, Yoga and Naturopathy, Unani, Siddha, and Homeopathy, and physiotherapy. Postgraduate theses constituted 60 (60.6%) studies. Eighty-seven (87.9%) were academic projects, eight (8.1%) were government-funded studies, and only four (4%) were pharmaceutical-sponsored studies. The most commonly studied therapy area was the central nervous system, followed by community medicine and orthopedics. Conclusions: This study depicts the underrepresentation of the geriatric population in clinical studies.
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