Exploring the Impact of Artificial Intelligence on Global Health and Enhancing Healthcare in Developing Nations.

BACKGROUND: Artificial intelligence (AI), which combines computer science with extensive datasets, seeks to mimic human-like intelligence. Subsets of AI are being applied in almost all fields of medicine and surgery. AIM: This review focuses on the applications of AI in healthcare settings in developing countries, designed to underscore its significance by comprehensively outlining the advancements made thus far, the shortcomings encountered in AI applications, the present status of AI integration, persistent challenges, and innovative strategies to surmount them. METHODOLOGY: Articles from PubMed, Google Scholar, and Cochrane were searched from 2000 to 2023 with keywords including AI and healthcare, focusing on multiple medical specialties. RESULTS: The increasing role of AI in diagnosis, prognosis prediction, and patient management, as well as hospital management and community healthcare, has made the overall healthcare system more efficient, especially in the high patient load setups and resource-limited areas of developing countries where patient care is often compromised. However, challenges, including low adoption rates and the absence of standardized guidelines, high installation and maintenance costs of equipment, poor transportation and connectivvity issues hinder AI's full use in healthcare. CONCLUSION: Despite these challenges, AI holds a promising future in healthcare. Adequate knowledge and expertise of healthcare professionals for the use of AI technology in healthcare is imperative in developing nations.

Phytosynthesized Iron Oxide Nanoparticles Using Aqueous Extract of Saccharum arundinaceum (Hardy Sugar Cane), Their Characterizations, Antiglycation, and Cytotoxic Activities.

The goal of the current study is to achieve plant-mediated synthesis of iron oxide nanoparticles (Fe2O3 NPs). The plant extract of Saccharum arundinaceum was used as a reducing and stabilizing agent for the synthesis of Fe2O3 NPs. Different techniques such as energy-dispersive X-ray analysis (EDX), X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FT-IR), and UV-visible spectroscopy (UV-vis) were used to characterize the synthesis of Fe2O3 NPs. UV-visible spectroscopy verified the synthesis of Fe2O3 NPs using a surface plasmon resonance peak at a wavelength of 370 nm. SEM analysis specifies the spherical morphology of the synthesized nanoparticles with a size range between 30 and 70 nm. The reducing and capping materials of Fe2O3 NPs were revealed by FT-IR analysis based on functional group identification. The plant extract contained essential functional groups, such as C-H, C-O, N-H, -CH2, and -OH, that facilitate the green synthesis of Fe2O3 NPs. The EDX analysis detected the atomic percentage with the elemental composition of Fe2O3 NPs, while the XRD pattern demonstrated the crystallinity of Fe2O3 NPs. Furthermore, the synthesized Fe2O3 NPs showed potential antiglycation activity under in vitro conditions, which was confirmed by the efficient zone of inhibition on glycation of bovine serum albumin/glucose (BSA-glucose) in the order <100 < 500 < 1000 µg/mL, which revealed that Fe2O3 NPs showed significant antiglycation activity. Additionally, the cytotoxic activity against brain glioblastoma cells was assessed using the MTT assay, which exhibited diminished cytotoxic activity at concentrations lower than 300 µg/mL. Thus, we assumed that the resulting Fe2O3 NPs are a good option for use in drug delivery and cancer treatments.