The Impact of Artificial Intelligence on Allergy Diagnosis and Treatment.

PURPOSE OF REVIEW: Artificial intelligence (AI), be it neuronal networks, machine learning or deep learning, has numerous beneficial effects on healthcare systems; however, its potential applications and diagnostic capabilities for immunologic diseases have yet to be explored. Understanding AI systems can help healthcare workers better assimilate artificial intelligence into their practice and unravel its potential in diagnostics, clinical research, and disease management. RECENT FINDINGS: We reviewed recent advancements in AI systems and their integration in healthcare systems, along with their potential benefits in the diagnosis and management of diseases. We explored machine learning as employed in allergy diagnosis and its learning patterns from patient datasets, as well as the possible advantages of using AI in the field of research related to allergic reactions and even remote monitoring. Considering the ethical challenges and privacy concerns raised by clinicians and patients with regard to integrating AI in healthcare, we explored the new guidelines adapted by regulatory bodies. Despite these challenges, AI appears to have been successfully incorporated into various healthcare systems and is providing patient-centered solutions while simultaneously assisting healthcare workers. Artificial intelligence offers new hope in the field of immunologic disease diagnosis, monitoring, and management and thus has the potential to revolutionize healthcare systems.

Relationship of Diet and Addiction with Gall Bladder Carcinoma-a Case-Control Study at a Tertiary Health Care Centre, India.

Some dietary elements, tobacco use, have long been suspected as risk factors for gall bladder carcinoma. The objective of the study was to describe the dietary pattern of the patients with gall bladder carcinoma and to compare the dietary ingredients, and addiction between the cases and controls. Fifty-six gall bladder carcinoma cases and 56 matched controls were compared for diet and addiction patterns. Fried food, junk food, vanaspati, frozen fish, dried fish, red meat, kheer, milled mustard oil, puffed rice containing urea, chili powder, less water consumption, extra salt, tobacco exposure, betel leaf, and alcohol consumption were significantly related with gall bladder carcinoma. Green tea, sunflower oil, butter, ghee, fish intake more than twice weekly, sea fish, packaged milk, some fruits, and vegetables were found protective. Some dietary elements and addiction are related to gall bladder carcinoma, whereas some food items have a protective role.

Neurofibromatosis Type Two: A Case With Both Intracranial and Spinal Lesions.

We discuss the case of a 36-year-old male patient who presented with gait impairment. On examination, he had clinical findings of cervical myelopathy. The patient was evaluated with an MRI of the brain and spine, which revealed multiple spinal tumors, some causing significant canal stenosis. The spinal tumors involved the cervical, thoracic, and lumbar regions. There were both intramedullary and extramedullary tumors with an extraspinal extension. The patient's MRI brain also revealed bilateral vestibular schwannomas. His family history was negative. He subsequently underwent surgery for multiple spinal lesions followed by debulking of the right-sided vestibular schwannoma. The radiological findings of both intramedullary and extramedullary spinal tumors affecting the spinal cord and extensively involving the cervical, thoracic, and lumbar regions, and the requirement of spinal and cranial surgery concurrently make this a challenging neurosurgical case.