Narrative review.

Artificial intelligence (AI) and machine learning (ML) have emerged as disruptive technologies with the potential to drastically affect clinical decision making in spine surgery. AI can enhance the delivery of spine care in several arenas (1) preoperative patient workup, patient selection, and outcome prediction; (2) quality and reproducibility of spine research; (3) perioperative surgical assistance and data tracking optimization; and (4) intraoperative surgical performance. The purpose of this narrative review is to concisely assemble, analyze, and discuss current trends and applications of AI and ML in conventional and robotic-assisted spine surgery.

We conducted a comprehensive PubMed search of peer-reviewed articles that were published between 2006 and 2019 examining AI, ML, and robotics in spine surgery. Key findings were then compiled and summarized in this review.

The majority of the published AI literature in spine surgery has focused on predictive analytics and supervised image recognition for radiographic diagnosis. Several investigators have studied the use of AI/ML in the perioperative setting in small patient cohorts; pivotal trials are still pending.

Artificial intelligence has tremendous potential in revolutionizing comprehensive spine care. Evidence-based, predictive analytics can help surgeons improve preoperative patient selection, surgical indications, and individualized postoperative care. Robotic-assisted surgery, while still in early stages of development, has the potential to reduce surgeon fatigue and improve technical precision.

Artificial intelligence has tremendous potential in revolutionizing comprehensive spine care. Evidence-based, predictive analytics can help surgeons improve preoperative patient selection, surgical indications, and individualized postoperative care. Robotic-assisted surgery, while still in early stages of development, has the potential to reduce surgeon fatigue and improve technical precision.Background We compared the relationship of past and contemporary sodium (Na) intake with cardiometabolic biomarkers. Methods and Results A total of 1191 participants’ data from a randomized controlled trial in coastal Bangladesh were analyzed. Participants provided 24-hour urine Na (24UNa) data for 5 monthly visits. Their fasting blood glucose, total cholesterol, triglycerides, high-density lipoprotein, blood pressure, and 24-hour urine protein were measured at the fifth visit. Participants’ mean 24UNa over the first 4 visits was the past Na, and 24UNa of the fifth visit was the contemporary Na intake. We estimated the prevalence ratios of elevated cardiometabolic biomarkers and metabolic syndrome across 24UNa tertiles by multilevel logistic regression using participant-, household-, and community-level random intercepts. Models were adjusted for age, sex, body mass index, smoking, physical activity, alcohol consumption, sleep hours, religion, and household wealth. Compared with participants in tertile 1 of past urine Na, those in tertile 3 had 1.46 (95% CI, 1.08-1.99) times higher prevalence of prediabetes or diabetes mellitus, 5.49 (95% CI, 2.73-11.01) times higher prevalence of large waist circumference, and 1.60 (95% CI, 1.04-2.46) times higher prevalence of metabolic syndrome. Compared with participants in tertile 1 of contemporary urine Na, those in tertile 3 had 1.93 (95% CI, 1.24-3.00) times higher prevalence of prediabetes or diabetes mellitus, 3.14 (95% CI, 1.45-6.83) times higher prevalence of proteinuria, and 2.23 (95% CI, 1.34-3.71) times higher prevalence of large waist circumference. Conclusions Both past and contemporary Na intakes were associated with higher cardiometabolic disease risk.

The experience of physical activity is influenced by social relations and gendered roles. Group-based lifestyle interventions are considered effective in promoting physical activity, yet the experiences of being active with others are unknown among individuals with severe obesity.

To explore how individuals with severe obesity experience being with others during physical activity.

A qualitative hermeneutic phenomenological study of repeated single-gender focus group interviews was conducted with adults living with severe obesity during group-based lifestyle intervention.

Three themes were developed 1) ‘Enjoying safety, kinship and belonging among peers’; 2) ‘Feeling like a failure is shameful A sense of aversion’; and 3) ‘Striving to feel at home in physical activity Needing distance from others.’ The themes were drawn into an overall meaning ‘Achieving wellbeing may always be a challenge not feeling at home in the group or in body.’

Intersubjective and spatial dimensions of experiences are central and influence how individuals with severe obesity can feel wellbeing and ‘at home’ in physical activity. Physiotherapists should be aware of the individuals’ vulnerability regarding feelings of failure, aversion, and shame as well as awareness of gendered norms and roles.

Intersubjective and spatial dimensions of experiences are central and influence how individuals with severe obesity can feel wellbeing and ‘at home’ in physical activity. Physiotherapists should be aware of the individuals’ vulnerability regarding feelings of failure, aversion, and shame as well as awareness of gendered norms and roles.The recent outbreak of SARS CoV-2 has changed the global scenario of human lives/economy. A significant number of the non-survivors showed cardiac-renal-vasculature dysfunction. A ‘cytokine storm’ namely, interleukin IL6-IL1 receptors i.e. IL6R-IL1R over-functioning was reported. Selleckchem DS-3032b Here, nigellidine, an indazole-alkaloid and key-component of Nigella Sativa L. (NS) commonly known as black-cumin-seed was analyzed for COVID-19 protein-targeting and IL1R-IL6R inhibition through molecular-docking-study and biochemical-study in experimental-rat to evaluate antioxidative-capacity. The NMR/X-ray-crystallographic/Electron-microscopic structures of COVID-19 Main-protease (6LU7)/Spike-glycoprotein(6vsb)/NSP2(QHD43415_2)/Nucleocapsid(QHD43423), Human IL1R(1itb)-IL6R(1pm9) from PDB were retrieved-analyzed for receptor-ligand interaction. Then those structures were docked with nigellidine using Autodock and Patchdock-server. A brief comparison was made with nigellicine-thymoquinone from N. sativa. Where nigellidine showed highest binding-energy of -6.