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As artificial intelligence (AI) plays an ever-increasing role in medicine, various designs that implement machine learning (ML) are being introduced in an effort to develop surgical robots that perform a variety of surgical techniques without human interference. However, current attempts in creating autonomous surgical robots (ASRs) are hindered by the amount of time needed to train a robot on a physical sett, the incredible amount of physical and/or synthetic (artificial) data needed to be collected and labeled, as well as the unaccountable and unpredictable characteristics of reality. Progress outside of the medical field is being made to address the general limitations in autonomous robotics. Herein, we present a review of the basics of machine learning before going through the current attempts in creating ASRs and the limitations of current technologies. Finally, we present suggested solutions for these limitations, mainly data driven physics simulations and domain randomization, in an attempt to create a virtual training environment as faithful to and as random as the real world that could be transferred to a physical setting. The solutions suggested here are based on techniques incorporated and strides being made outside of the medical field that could usher in the next generation of autonomous surgical robotics designs. Keywords: Autonomous surgical robots; robotic surgery; artificial intelligence; machine learning; physics simulation; domain randomization

Background The frontal bone is frequently approached during neurosurgical procedures. Feared complications of such surgeries include cerebrospinal fluid leak, among others, and frequently result from a breach of the frontal sinus. For this reason, the sinus should be avoided when possible. The supraorbital notch (SON) is a reliable and easily identifiable surgical landmark and its relation to the frontal sinus has been previously studied. However, the frontal sinus shows significant variability in size and shape between populations. Methods In the present study, we investigate the frontal sinus dimension and its relation to the SON in the Middle Eastern population. Results The analysis of a set of computed tomography scans reveals a significant variation in size between genders, and we subsequently provide neurosurgeons in the region with population-targeted, gender-specific risk maps. Conclusions We finally conclude that a 2-cm margin rostral and lateral to the SON is safest.

Objectives The aim of this paper is to illustrate the current status of imaging in high breast density as we enter a new decade of advancing medicine and technology to diagnose breast lesions. Key findings Early detection of breast cancer has become the chief focus of research from governments to individuals. However, with varying breast densities across the globe, the explosion of breast density information related to imaging, phenotypes, diet, computer aided diagnosis and artificial intelligence has witnessed a dramatic shift in new screening recommendations in mammography, physical examination, screening younger women and women with comorbid conditions, screening women at high risk, and new screening technologies. Breast density is well known to be a risk factor in patients with suspected/known breast neoplasia. Extensive research in the field of qualitative and quantitative analysis on different tissue characteristics of the breast has rapidly become the chief focus of breast imaging. A summary of the available guidelines and modalities of breast imaging, as well as new emerging techniques under study that can potentially provide an augmentation or even a replacement of those currently available. Conclusion Despite all the advances in technology and all the research directed towards breast cancer, detection of breast cancer in dense breasts remains a dilemma. Implications for practice It is of utmost importance to develop highly sensitive screening modalities for early detection of breast cancer.

Intracranial calcifications are frequently encountered in non-contrast computed tomography scan in both adult and pediatric age groups. They refer to calcifications within the brain parenchyma or vasculature and can be classified into several major categories: physiologic/age-related, dystrophic, congenital disorders/phakomatoses, infectious, vascular, neoplastic, metabolic/endocrine, inflammatory and toxic diseases. In this updated review, we present a wide spectrum of intracranial calcifications from both pediatric and adult populations focusing on their pattern, size and location.

Intracranial calcifications are frequently encountered in non-contrast computed tomography scan in both adult and pediatric age groups. They refer to calcifications within the brain parenchyma or vasculature and can be classified into several major categories: physiologic/age-related, dystrophic, congenital disorders/phakomatoses, infectious, vascular, neoplastic, metabolic/endocrine, inflammatory and toxic diseases. In this updated review, we present a wide spectrum of intracranial calcifications from both pediatric and adult populations focusing on their pattern, size and location.

Ovarian/adnexal torsion is a rather frequent occurrence in women of reproductive age group worldwide. Etiologies are quite diverse with ovarian lesions and corpus luteal cysts being the most two common. Pelvic or intravaginal ultrasound remains the first-line imaging modality used for diagnosis and evaluation of suspected ovarian/adnexal torsion. In this study, we have adopted a case-based statistical analysis to identify important sonographic markers and further evaluated their contribution in identifying ovarian torsion. Our study successfully determined the important sonographic markers. Our observation and analysis suggest that ovarian enlargement is the most sensitive marker. Ovarian edema was found to be the most specific marker to identify the ovarian torsion with higher level of accuracy and confidence. This pioneer study will provide valuable information and direction to the medical practitioners and radiologists for better diagnosis. Further studies with large sample size will help in establishing our findings universally.

Summary Background Multidrug-resistant (MDR) Enterobacteriaceae can cause severe infections with high morbidity, mortality, and health care costs. Individuals can be fecal carriers of these resistant organisms. Data on the extent of MDR Enterobacteriaceae fecal carriage in the community setting in Lebanon are very scarce. The aim of this study was to investigate the fecal carriage of MDR Enterobacteriaceae among the elderly residents of two nursing homes located in north Lebanon. Methods Over a period of 4 months, five fecal swab samples were collected from each of 68 elderly persons at regular intervals of 3–4 weeks. Fecal swabs were subcultured on selective media for the screening of resistant organisms. The phenotypic detection of extended-spectrum beta-lactamase (ESBL), AmpC, metallo-beta-lactamase (MBL), and Klebsiella pneumoniae carbapenemase (KPC) production was performed using the beta-lactamase inhibitors ethylenediaminetetraacetic acid, phenylboronic acid, and cloxacillin. A temocillin disk was used for OXA-48. Multiplex PCRs were used for the genotypic detection of ESBL and carbapenemase genes, and sequencing was performed to identify CTX-M-15. The medical records of each subject were reviewed on a regular basis in order to assess the risk factors associated with MDR Enterobacteriaceae fecal carriage. Results Over the study period, 76.5% of the recruited elderly persons were at least one-time carriers. A total of 178 isolates were obtained. Phenotypic testing revealed that 91.5% of them were ESBL producers, 4% were AmpC producers, 2.8% were co-producers of ESBL and AmpC, and 1.7% were co-producers of OXA-48 and ESBL. Recent antibiotic intake was found to be the only independent risk factor associated with the fecal carriage of MDR Enterobacteriaceae . Conclusions The high prevalence of MDR Enterobacteriaceae detected in this study and the emergence of carbapenem resistance is alarming. Efficient infection control measures and antibiotic stewardship programs are urgently needed in these settings in order to limit the spread of resistant strains.

Objectives. The aim of this study is to demonstrate the various imaging appearances of stromal fibrosis on mammography, ultrasound, and magnetic resonance imaging (MRI). Material and Methods. This study included 75 female patients who presented to the American University of Beirut Medical Center between January 2010 and October 2015 for breast imaging. 66 (88%) patients obtained a mammogram, 71 (95%) had an ultrasound, and 6 (8%) had an MRI. Patients included had stromal fibrosis proven on biopsy. Results. The most common finding on mammogram was calcifications which was present in 14 (21%) patients, while on ultrasound it was a mass which was present in 61 (86%) patients. A mass was detected on MRI in 2 (33.5%) patients. Most lesions detected had benign findings such as masses with circumscribed margins. We had a follow-up for 53 (71%) patients with an average follow-up interval of 28.5 months (range: 5 – 70). Increase in size of the index lesion was noted in only 2 patients; upon rebiopsy, pathology results read stromal fibrosis for one lesion and fibroadenoma for the other. The remaining lesions were either stable or decreased in size. The higher detection rate of a mass on ultrasound was statistically significant (p Conclusion. Stromal fibrosis can have various presentations on imaging from benign to suspicious for malignancy features. In the case of accurate targeted biopsy, when stromal fibrosis is diagnosed, the result can be considered concordant. Therefore, such lesions can be followed up by imaging to document stability and confirm benignity.