A Review on the Use of Artificial Intelligence in Fracture Detection.

Artificial intelligence (AI) simulates intelligent behavior using computers with minimum human intervention. Recent advances in AI, especially deep learning, have made significant progress in perceptual operations, enabling computers to convey and comprehend complicated input more accurately. Worldwide, fractures affect people of all ages and in all regions of the planet. One of the most prevalent causes of inaccurate diagnosis and medical lawsuits is overlooked fractures on radiographs taken in the emergency room, which can range from 2% to 9%. The workforce will soon be under a great deal of strain due to the growing demand for fracture detection on multiple imaging modalities. A dearth of radiologists worsens this rise in demand as a result of a delay in hiring and a significant percentage of radiologists close to retirement. Additionally, the process of interpreting diagnostic images can sometimes be challenging and tedious. Integrating orthopedic radio-diagnosis with AI presents a promising solution to these problems. There has recently been a noticeable rise in the application of deep learning techniques, namely convolutional neural networks (CNNs), in medical imaging. In the field of orthopedic trauma, CNNs are being documented to operate at the proficiency of expert orthopedic surgeons and radiologists in the identification and categorization of fractures. CNNs can analyze vast amounts of data at a rate that surpasses that of human observations. In this review, we discuss the use of deep learning methods in fracture detection and classification, the integration of AI with various imaging modalities, and the benefits and disadvantages of integrating AI with radio-diagnostics.

Applications of Latissimus Dorsi Grafts in Reverse Shoulder Arthroplasty.

The shoulder joint is a multiaxial joint in the upper body known for its high degree of motion. It is also infamously known for recurrent dislocations compared to other joints. These dislocations are mainly fixed by closed reduction methods like the Hippocrates technique, Stimpson's gravity technique, and the most commonly used modified Kocher's technique. The modified Kocher's technique uses traction followed by external rotation, adduction, and internal rotation. Rotator cuff tears are associated with shoulder joint dislocations. Rotator cuff tears slowly heal and persist for 10-20 years, irrespective of their etiology. When left untreated, fibrosis can set in the joint. After fibrosis, it is repaired with a reverse shoulder arthroplasty. Reverse shoulder arthroplasty allows a greater degree of movement compared to the conventional arthroplasty. In reverse shoulder arthroplasty, the latissimus dorsi tendon is removed from its original insertion and attached to the humerus around the insertion of the deltoid muscle. This change increases the torque and external rotation of the joint and provides better results than the surgeries where the tendon transfer is not done. This article compiles the various etiologies of shoulder dislocation and its treatment, shoulder arthroplasty. It discusses the indications and contraindications of total and reverse total arthroplasty. This article aims to compare conventional shoulder arthroplasty and reverse shoulder arthroplasty. It highlights the advantages of using latissimus dorsi grafts in reverse shoulder arthroplasty in shoulder joint dislocations.

Immunological Nuances and Complications of Pediatric Organ Transplant: A Narrative Review.

Organ transplantation is considered an exaggerated immune state in which the body reacts in an elaborate cascade of reactions against the lifesaving graft transplanted. Unrepairable organ damage is the main indication for a pediatric patient to undergo a transplant. The host and the donor must fulfill the criteria for a successful transplant to have as few side effects as possible. There has been much-needed research in the domain of surgery of organ transplantation, thereby extending into the pediatric age group. This article elaborates on the post-transplant management, the immuno-biochemistry aspect, and its post-surgery treatment. The post-surgery period requires great emphasis as morbidity and mortality are highest. There is much to understand about managing transplant patients to avoid complications such as infections, hypertension, or side effects of immunosuppressive drugs. The treating clinician faces the challenges of managing the dose and frequency of immuno-suppressive medicines to prevent complications in the patients. If the dose is inadequate, there are chances of graft rejection. If the immuno-suppression is prolonged, there may be chances of infections in the patient. This article aims to summarize the mechanism of graft rejection and put forth the need for further research about creating a universal protocol for managing a patient's immune system post-transplant. The authors hope this protocol will help the clinician better understand the patient's current state and help in appropriately using immuno-suppressive drugs. It calls upon the need for a reliable and easily repeatable battery of investigations that will help solve this dilemma.

Resistance to Resilience: Understanding Post-surgical Hormone Therapy in Breast Cancer Care.

Breast cancer is one of the most common types of cancer affecting women worldwide. Over the years, breast cancer has become a major public health concern, and its incidence is rising globally. The treatment of breast cancer does not stop with surgical intervention, but adjuvant therapies are administered to improve patient outcomes post-surgery based on the type of breast cancer diagnosed. This review focuses on the value of hormone therapy (HT) in improving the prognosis of breast cancer patients and why adhering to adjuvant treatment post-surgery is difficult for patients. HT aims to reduce the chances of breast cancer recurrence after surgical treatment. Even though HT is life-saving, patients tend to not adhere to the therapy due to various factors such as side effects, age-related issues, and socioeconomic status. Most patients stop adhering to the therapy as the duration can be as long as 5-10 years, and the quality of life is greatly impacted due to the side effects of the treatment. This review examines the possible factors leading to non-adherence to HT and tries to propose possible interventions that might improve patient compliance with the treatment. This article not only focuses on the impact of side effects of HT on patients' quality of life but also tries to understand the problems faced by breast cancer patients in adhering to HT.

The Application of Deep Learning to Electroencephalograms, Magnetic Resonance Imaging, and Implants for the Detection of Epileptic Seizures: A Narrative Review.

Epilepsy is a neurological disorder characterized by recurrent seizures affecting millions worldwide. Medically intractable seizures in epilepsy patients are not only detrimental to the quality of life but also pose a significant threat to their safety. Outcomes of epilepsy therapy can be improved by early detection and intervention during the interictal window period. Electroencephalography is the primary diagnostic tool for epilepsy, but accurate interpretation of seizure activity is challenging and highly time-consuming. Machine learning (ML) and deep learning (DL) algorithms enable us to analyze complex EEG data, which can not only help us diagnose but also locate epileptogenic zones and predict medical and surgical treatment outcomes. DL models such as convolutional neural networks (CNNs), inspired by visual processing, can be used to classify EEG activity. By applying preprocessing techniques, signal quality can be enhanced by denoising and artifact removal. DL can also be incorporated into the analysis of magnetic resonance imaging (MRI) data, which can help in the localization of epileptogenic zones in the brain. Proper detection of these zones can help in good neurosurgical outcomes. Recent advancements in DL have facilitated the implementation of these systems in neural implants and wearable devices, allowing for real-time seizure detection. This has the potential to transform the management of drug-refractory epilepsy. This review explores the application of ML and DL techniques to Electroencephalograms (EEGs), MRI, and wearable devices for epileptic seizure detection. This review briefly explains the fundamentals of both artificial intelligence (AI) and DL, highlighting these systems' potential advantages and undeniable limitations.

Calcaneal Spurs: A Potentially Debilitating Disorder.

Feet are often the most neglected part of the body, all the while being the highly dependent part of daily work and mobility. The lack of attention to them can lead to painful conditions such as calcaneal spurs and associated conditions. Calcaneal spurs are bony projections that form around the calcaneal bone, the strongest, most significant, and posterior-most bone in the feet. The classic symptom of the calcaneal spur is talalgia, commonly known as heel pain. There are many causes of heel pain, which are usually associated with calcaneal spurs. Hence it becomes imperative to diagnose and treat them effectively. The development of calcaneal spur is shrouded in mystery, and why a few individuals are more prone to developing the condition than others depends on their gender, age, occupation, and lifestyle. Calcaneal spurs are seen in association with many diseases. It is also regarded as the etiological factor in plantar fasciitis and increasing body weight and as a complication in arthropathies, Gout, pes cavus, and pes planus. This review article aims to highlight a relationship between those factors while also summarizing the treatment modalities present today. Hence, it promotes the usage of a model for administering treatment based on a tier-wise follow-up procedure, where the response to a particular treatment is recorded. If it does not resolve the spur, the treatment progresses to the next tier. This review article hopes to shed light on the understanding and treatment of calcaneal spurs.

The Actions of Lithium on Glaucoma and Other Senile Neurodegenerative Diseases Through GSK-3 Inhibition: A Narrative Review.

Glaucoma can be described as a set of progressive optic neuropathies. They cause a gradual, irreversible loss of the field of view, which concludes in complete blindness. Evidence suggests that patients who have glaucoma face a greater risk of suffering from senile dementia. Dementia is a group of conditions that occur in old age individuals. Neurodegeneration is a characteristic pathological feature of dementia, the progression of which causes a decline in cognition, which may be accompanied by memory loss. Severe dementia in old individuals usually presents as Alzheimer's disease, which significantly contributes to a load of dementia in India. Parkinsonism is another common neurodegenerative disease that is known to occur in the elderly. The WNT (Wingless-related integration site)/ß-catenin pathway is a multistep process that is responsible for the regulation of various cellular functions. Lithium can up-regulate this pathway by disrupting Glycogen synthase kinase-3ß (GSK-3ß). This action of Lithium can effectively counteract neuroinflammation and neurodegeneration. The current use of Lithium remains majorly confined to its use for episodes of mania in bipolar disorder (BD). However, recent literature gives insight into how Lithium can improve the visual field in glaucomatous eyes. Symptomatic improvement after lithium administration is seen as it has neuroprotective actions on the retinal ganglion cells (RGCs). Prolonged lithium use improves axonal regeneration and neuronal survival. Lithium also improves the worsening of symptoms in other dementia-related neurodegenerative diseases like Alzheimer's and Parkinsonism. The physiological actions of Lithium can be utilized in providing effective, holistic therapy options in pathologically related senile degenerative disorders. Significantly better results can be obtained if Lithium therapy is given in conjunction with the drugs used to manage these disorders.

Analyzing the Complicated Connection Between Intestinal Microbiota and Cardiovascular Diseases.

Relentless human curiosity to understand the basis of every aspect of medical science has led humanity to unlock the deepest secrets about the physiology of human existence and, in the process, has reached milestones that a century ago could only be imagined. Recent ground-breaking breakthroughs have helped scientists and physicians all over the world to update the scientific basis of diseases and hence further improve treatment outcomes. According to recent studies, scientists have found a link between intestinal flora and the pathogenesis of diseases, including cardiovascular diseases. Any change in the typical habitat of gut microbiota has been shown to result in the culmination of various metabolic and cardiac diseases. Therefore, gut microbiota can be credited for influencing the course of the development of a disease. Any change in the composition and function of bacterial species living in the gut can result in both beneficial and harmful effects on the body. Gut microbiota achieves this role by numerous mechanisms. Generations of various metabolites like TMAO (trimethylamine N-oxide), increased receptibility of various bacterial antigens, and disruption of the enzyme action in various metabolic pathways like the bile acids pathway may result in the development of metabolic as well as cardiovascular diseases. Even if they may not be the only etiological factor in the pathogenesis of a disease, they may very well serve as a contributing factor in worsening the outcome of the condition. Studies have shown that they actively play a role in the progression of cardiovascular diseases like atherosclerotic plaque formation and rising blood pressure. The focus of this review article is to establish a relation between various cardiovascular diseases and gut microbiota. This could prove beneficial for clinicians, health care providers, and scientists to develop novel therapeutic algorithms while treating cardiac patients.

The Spectrum of Treatment Modalities for Gastroesophageal Reflux Disease (GERD): A Narrative Review.

Gastroesophageal reflux disease (GERD) is a prevalent gastrointestinal disease that is encountered and treated by physicians all over the world. It is a chronic and non-progressive condition. Symptoms can range from mild heartburn to chronic, recurrent, and severe symptoms like constant acid regurgitation, laryngitis, bad breath, otitis media, and severe heartburn, which can be debilitating to the patient. Hence, the administration of appropriate therapy according to the patient's severity of symptoms is imperative, more so because over-the-counter drugs like antacids are very common to treat GERD. Often, in some instances, mere changes in lifestyle prove highly effective in reversing GERD symptomatology. Depending on the severity, response to treatment, and presence or absence of complications, treatment with medical or surgical modalities can be decided. It has now been found that although the gold standard in medical therapy for GERD has been proton pump inhibitors (PPIs), there has been increasing research about their side effects and recurrence after treatment. Hence, newer anti-GERD drugs have been under trial, which has been discussed in detail in the review. The use of surgical fundoplications has drastically decreased and is being widely replaced by incisionless laparoscopic fundoplications and newer endoluminal techniques such as the LINX device. This review aims to compile the vast spectrum of treatment modalities for GERD, ranging from more contemporary diagnostic methods, lifestyle modifications, medical therapy, and surgical and endoluminal techniques, with a particular focus on newer directions.