Radicular Dentin Thickness and Root Canal Morphology of Mandibular Incisors in Indian Subpopulation Using Cone Beam Computed Tomography.

Aim Using two classifications, this study assessed root morphology and canal configuration and measured the Dentin thickness (DT) and canal shapes. Methods Cone beam computed tomography (CBCT) with 400 Mandibular Incisors was collected and assessed for the number, length, curvature of roots, number of canals, bifurcation level, configurations based on Vertucci's and Ahmed's classification, DT and canal shape at 3, 6, 9 mm from the apex. The collected data was subjected to statistical analysis with a level of significance at p<0.

Association between Hematological Parameters and Severity of COVID-19 disease.

Background: This study aimed to determine the relationships between hematological parameters- hemoglobin, Total Leucocyte Counts (TLC), platelet counts, Absolute Neutrophil Counts (ANC), Absolute Lymphocyte Counts (ALC), Neutrophil Lymphocyte Ratio (NLR), Systemic Immune Inflammatory Index (SII), Neutrophil Monocyte Ratio (NMR), Platelet Lymphocyte Ratio (PLR) and the severity of COVID-19 disease and their use in predicting severity of COVID-19 disease.

Methods And Material: This was a prospective, observational, single-center study of 573 symptomatic adult inpatients of COVID 19 admitted to our tertiary care center.

Statistical Analysis Used: The above-mentioned hematological parameter levels were noted and compared between the two categories of COVID-19 disease, namely non-severe and severe COVID-19 using logistic regression methods.

Helicobacter pylori-Associated Immune Thrombocytopenia: Diagnostic and Therapeutic Approach.

The relationship between immune thrombocytopenia (ITP) and Helicobacterpylori infection has largely been an unexplored entity. This review article aims at focusing on the role of H. pylori in secondary ITP.

A Review of Monkeypox: Present-day Scenario in India.

Monkeypox is an Orthopoxvirus whose outbreak has been noted in various parts of the world in 2022. A significant outbreak has not yet occurred in India and various other developing countries. With this review, our aim is to create awareness among the health-care personnel including paramedical staff regarding epidemiology and diagnostic and infrastructure challenges.

3D object tracking using integral imaging with mutual information and Bayesian optimization.

Integral imaging has proven useful for three-dimensional (3D) object visualization in adverse environmental conditions such as partial occlusion and low light. This paper considers the problem of 3D object tracking. Two-dimensional (2D) object tracking within a scene is an active research area.

Robustness of single random phase encoding lensless imaging with camera noise.

In this paper, we assess the noise-susceptibility of coherent macroscopic single random phase encoding (SRPE) lensless imaging by analyzing how much information is lost due to the presence of camera noise. We have used numerical simulation to first obtain the noise-free point spread function (PSF) of a diffuser-based SRPE system. Afterwards, we generated a noisy PSF by introducing shot noise, read noise and quantization noise as seen in a real-world camera.

Hemophagocytic lymphohistiocytosis: A scourge for the physician and bane to the bone marrow.

Background: Hemophagocytic lymphohistiocytosis (HLH) is a condition characterized by hyperinflammation. It can occur due to primary genetic defect or secondary to other etiology such as infection and rheumatological conditions. Clinical features include fever, cytopenia, organomegaly and several laboratory abnormalities.

Three-dimensional integral imaging-based image descattering and recovery using physics informed unsupervised CycleGAN.

Image restoration and denoising has been a challenging problem in optics and computer vision. There has been active research in the optics and imaging communities to develop a robust, data-efficient system for image restoration tasks. Recently, physics-informed deep learning has received wide interest in scientific problems.

Underwater object detection and temporal signal detection in turbid water using 3D-integral imaging and deep learning.

Underwater scattering caused by suspended particles in the water severely degrades signal detection performance and poses significant challenges to the problem of object detection. This paper introduces an integrated dual-function deep learning-based underwater object detection and classification and temporal signal detection algorithm using three-dimensional (3D) integral imaging (InIm) under degraded conditions. The proposed system is an efficient object classification and temporal signal detection system for degraded environments such as turbidity and partial occlusion and also provides the object range in the scene.

Underwater optical signal detection system using diffuser-based lensless imaging.

We propose a diffuser-based lensless underwater optical signal detection system. The system consists of a lensless one-dimensional (1D) camera array equipped with random phase modulators for signal acquisition and one-dimensional integral imaging convolutional neural network (1DInImCNN) for signal classification. During the acquisition process, the encoded signal transmitted by a light-emitting diode passes through a turbid medium as well as partial occlusion.

Standardised Critical Care Strategies Improve Outcomes Following Cytoreductive Surgery with Hyperthermic Intraperitoneal Chemotherapy in an Indian Peritoneal Malignancy Centre.

Cytoreductive surgery (CRS) with hyperthermic intraperitoneal chemotherapy (HIPEC) is a major undertaking with profound peri-operative metabolic and haemodynamic alterations. It requires standardised protocols for immediate postoperative intensive care management to improve patient-related outcomes. A retrospective analysis of a prospectively maintained data-base of 244 patients who underwent CRS and HIPEC between June 2017 and July 2022 in our institute was done.

Photoluminescence Properties of a Chiral One-Dimensional Silver Chalcogenolate Chain.

Atom-precise metal nanoclusters, which contain a few tens to hundreds of atoms, have drawn significant interest due to their interesting physicochemical properties. Structural analysis reveals a fundamental architecture characterized by a central core or kernel linked to a staple motif with metal-ligand bonding playing a pivotal role. Ligands not only protect the surface but also exert a significant influence in determining the overall assembly of the larger superstructures.

Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm.

As the demand for quality healthcare increases, healthcare systems worldwide are grappling with time constraints and excessive workloads, which can compromise the quality of patient care. Artificial intelligence (AI) has emerged as a powerful tool in clinical medicine, revolutionizing various aspects of patient care and medical research. The integration of AI in clinical medicine has not only improved diagnostic accuracy and treatment outcomes, but also contributed to more efficient healthcare delivery, reduced costs, and facilitated better patient experiences.

A Case of Disseminated Melioidosis With Cerebritis.

Melioidosis is caused by a Gram-negative, facultative intracellular bacterium. Because melioidosis can mimic many diseases, it requires more advanced laboratory facilities with the necessary expertise and can become an underdiagnosed yet serious infection with high mortality and morbidityOur patient is a middle-aged male with new-onset uncontrolled type 2 diabetes mellitus who presented with high-grade fever, productive cough and altered mental status. CT thorax showed diffuse middle and lower zone consolidation while MRI brain noted meningitis with cerebritis.

A Strategic Research Framework for Defeating Diabetes in India: A 21st-Century Agenda.

Indian people are at high risk for type 2 diabetes (T2DM) even at younger ages and lower body weights. Already 74 million people in India have the disease, and the proportion of those with T2DM is increasing across all strata of society. Unique aspects, related to lower insulin secretion or function, and higher hepatic fat deposition, accompanied by the rise in overweight (related to lifestyle changes) may all be responsible for this unrelenting epidemic of T2DM.

Aspirin vs Clopidogrel: Antiplatelet Agent of Choice for Those With Recent Bleeding or at Risk for Gastrointestinal Bleed.

Antiplatelet agents are used worldwide mainly for primary and secondary prevention of cardiovascular events on a long-term basis for mortality benefit. Gastrointestinal bleeding is a well-known adverse effect. Various factors are to be considered while choosing antiplatelet agents to prevent the risk of bleed and rebleed incidents.

End-to-end integrated pipeline for underwater optical signal detection using 1D integral imaging capture with a convolutional neural network.

Underwater optical signal detection performance suffers from occlusion and turbidity in degraded environments. To tackle these challenges, three-dimensional (3D) integral imaging (InIm) with 4D correlation-based and deep-learning-based signal detection approaches have been proposed previously. Integral imaging is a 3D technique that utilizes multiple cameras to capture multiple perspectives of the scene and uses dedicated algorithms to reconstruct 3D images.

Sentinel Lymph Node Biopsy by Lymphatic Flare Technique: a Feasibility Study-"The FLAIR Is in the FLARE".

Background: Sentinel lymph node (SLN) biopsy is a standard procedure in evaluating the status of node negative axilla. Numerous techniques have been described in literature. We hereby describe a new technique of intradermal injection of blue dye called the lymphatic flare technique.

Information theoretic performance evaluation of 3D integral imaging.

Integral imaging (InIm) has proved useful for three-dimensional (3D) object sensing, visualization, and classification of partially occluded objects. This paper presents an information-theoretic approach for simulating and evaluating the integral imaging capture and reconstruction process. We utilize mutual information (MI) as a metric for evaluating the fidelity of the reconstructed 3D scene.

A Case of Basal Cell Carcinoma With Metastasis to the Pelvic Bone.

Our patient initially presented in 2015 with an ulcerative lesion over the scalp. Fine needle aspiration cytology (FNAC) from a regional enlarged lymph node showed features of metastatic poorly differentiated carcinoma and he underwent wide local excision with functional neck dissection. His next visit was after five years in 2020 with pain in the left hip region.

Lowlight object recognition by deep learning with passive three-dimensional integral imaging in visible and long wave infrared wavelengths.

Traditionally, long wave infrared imaging has been used in photon starved conditions for object detection and classification. We investigate passive three-dimensional (3D) integral imaging (InIm) in visible spectrum for object classification using deep neural networks in photon-starved conditions and under partial occlusion. We compare the proposed passive 3D InIm operating in the visible domain with that of the long wave infrared sensing in both 2D and 3D imaging cases for object classification in degraded conditions.

Adult-onset adrenoleukodystrophy presenting with status epilepticus and psychosis.

Adrenoleukodystrophy (ALD) is an X linked recessive genetic disorder caused by an abnormality in the gene on the X chromosome, that affects 1 in 20 000 people. In X linked adrenoleukodystrophy (X-ALD), a defect in lignoceroyl-coenzyme A ligase causes pathognomonic tissue accumulation of very long chain fatty acids (VLCFA) in the adrenal cortex and nervous system. The phenotypic variability ranges from cerebral inflammatory demyelination of childhood onset, leading to death within 5 years, to adults remaining presymptomatic through more than five decades.

Optical signal detection in turbid water using multidimensional integral imaging with deep learning.

Optical signal detection in turbid and occluded environments is a challenging task due to the light scattering and beam attenuation inside the medium. Three-dimensional (3D) integral imaging is an imaging approach which integrates two-dimensional images from multiple perspectives and has proved to be useful for challenging conditions such as occlusion and turbidity. In this manuscript, we present an approach for the detection of optical signals in turbid water and occluded environments using multidimensional integral imaging employing temporal encoding with deep learning.

Spatio-temporal continuous gesture recognition under degraded environments: performance comparison between 3D integral imaging (InIm) and RGB-D sensors.

In this paper, we introduce a deep learning-based spatio-temporal continuous human gesture recognition algorithm under degraded conditions using three-dimensional (3D) integral imaging. The proposed system is shown as an efficient continuous human gesture recognition system for degraded environments such as partial occlusion. In addition, we compare the performance between the 3D integral imaging-based sensing and RGB-D sensing for continuous gesture recognition under degraded environments.

Deoxycholate amphotericin for histoplasmosis in a patient with poor kidney function.

A 48-year-old male patient living with HIV presented to our hospital with fever and weight loss. On evaluation, he was found to have pancytopenia, deranged liver and kidney function. CD4 count was 13 cells/uL.