Artificial intelligence in brachytherapy: a summary of recent developments

Artificial intelligence (AI) applications, in the form of machine learning and deep learning, are being incorporated into practice in various aspects of medicine, including radiation oncology. Ample evidence from recent publications explores its utility and future use in external beam radiotherapy. However, the discussion on its role in brachytherapy is sparse. This article summarizes available current literature and discusses potential uses of AI in brachytherapy, including future directions. AI has been applied for brachytherapy procedures during almost all steps, starting from decision-making till treatment completion. AI use has led to improvement in efficiency and accuracy by reducing the human errors and saving time in certain aspects. Apart from direct use in brachytherapy, AI also contributes to contemporary advancements in radiology and associated sciences that can affect brachytherapy decisions and treatment. There is a renewal of interest in brachytherapy as a technique in recent years, contributed largely by the understanding that contemporary advances such as intensity modulated radiotherapy and stereotactic external beam radiotherapy cannot match the geometric gains and conformality of brachytherapy, and the integrated efforts of international brachytherapy societies to promote brachytherapy training and awareness. Use of AI technologies may consolidate it further by reducing human effort and time. Prospective validation over larger studies and incorporation of AI technologies for a larger patient population would help improve the efficiency and acceptance of brachytherapy. The enthusiasm favoring AI needs to be balanced against the short duration and quantum of experience with AI in limited patient subsets, need for constant learning and re-learning to train the AI algorithms, and the inevitability of humans having to take responsibility for the correctness and safety of treatments.     

Improvements in antimicrobial prescribing for treatment of upper respiratory tract infections through provider education

BACKGROUND: Inappropriate use of antimicrobials to treat acute upper respiratory tract infections (URIs), which usually have a viral etiology, contributes to emergence and spread of antimicrobial resistance in Streptococcus pneumoniae and other human bacterial pathogens. OBJECTIVE: To reduce antimicrobial use for management of acute URIs in adult and pediatric patients. DESIGN: Prospective, nonrandomized, controlled trial. SETTING: Four primary care clinics within a staff model HMO in Detroit, Mich. PARTICIPANTS: Twenty-one primary care physicians at clinics where the educational intervention was implemented, and 9 primary care physicians at control clinics where no educational programs were implemented. MEASUREMENTS: Antibiotic prescribing for acute URIs during the baseline and study years among the intervention and control groups. Results: A generalized linear mixed-effects model was used and showed that antimicrobial prescribing among the intervention group physicians decreased 24.6% from the baseline to the postintervention period (P<.0001) for both pediatric and adult medicine physicians. From the baseline to the study period, there was no significant decline in rates of antimicrobial prescribing by the control group of physicians (pediatricians, P=.35; internists, P=.42). The rates of decline in antimicrobial prescribing differed significantly between the intervention and control groups (P<.0003 for pediatricians and P<.01 for Internists). CONCLUSIONS: An interactive, case-based educational program for physicians and their staff proved effective for reducing unwarranted prescribing of antibiotics in the treatment of URIs by primary care physicians in a Medicaid HMO setting.     

Laboratory-based Japanese encephalitis surveillance in Nepal and the implications for a national immunization strategy

We report on two years of Japanese encephalitis (JE) surveillance in Nepal and the implications for a national immunization strategy. From May 2004 to April 2006, 4,652 patients with encephalitis were evaluated. A serum or cerebrospinal fluid specimen was collected from 3198 (69%) patients of which 1,035 (32%) were positive by Japanese encephalitis IgM ELISA. Most cases (N = 951, 92%) were from the 24 Terai districts (i.e., southern plains, 12.3 million persons) with the majority (N = 616, 65%) from four western Terai districts (population = 1.8 million). The case fatality ratio was 14.7% and 6.3% and the proportion of cases under 15 years old was 52% and 62% in the four western and 20 non-western Terai districts, respectively. Japanese encephalitis immunization targeting residents one year of age and older in the western districts and one through 14 years old in the non-western Terai districts may have reduced Japanese encephalitis cases by 84% and deaths by 92%, nationally.