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Topic Review
Challenges in Computer Vision and Artificial Intelligence Surgery
It can be said that deep-learning-based methods have significantly advanced research and development in the area of robotic surgery, across various tasks including objects detection and recognition, classification, navigation and construction of 3D representation of the environment. However, one of the key requirements for successfully implementation of DL-based methods is the availability of large volumes of carefully annotated datasets. In the surgical environment, this can be very expensive and labor-intensive tasks. More importantly, in some scenarios, it can be even impossible to acquire such data, for example, when you consider the need for estimating depth information for endoscopic surgery images, which is an important task to facilitate navigation in a surgery setting using a robot or a semi-autonomous device. In the deep learning era, if the researchers can obtain large volumes of good quality videos with the corresponding depth maps, then such a task may be very possible.
  • 417
  • 12 Jul 2022
Topic Review
Diagnosis of Tuberculosis
Mycobacterium tuberculosis (Mtb), one of the most successful pathogens in the world, has co-existed with humans for one thousand years and remains a major public health threat, causing over 2 million deaths annually. An early diagnosis and effective treatment are the keys to controlling TB. Methods based on the detection of Mycobacterium tuberculosis (Mtb) are insufficiently sensitive, methods based on the detection of Mtb-specific immune responses cannot always differentiate active disease from latent infection, and some of the serological markers of infection with Mtb are insufficiently specific to differentiate tuberculosis from other inflammatory diseases. New tools based on technologies such as flow cytometry, mass spectrometry, high-throughput sequencing, and artificial intelligence have the potential to solve this dilemma. 
  • 417
  • 25 Nov 2022
Topic Review
Impact of COVID-19 on Mergers and Acquisitions Activity
The term mergers and acquisition (M&A) is used to refer to the financial transaction by which two or more different entities consolidate in view of creating synergies that can be exemplified by gains in operational efficiency and/or increased capabilities. More particularly, the term “mergers” entails the joining of two comparable sized companies in view of creating a new entity, while the term “acquisitions” describes the absorption of a company by a (typically) larger one. While all M&A proceedings are all unique in value and type, they all aim at supporting the strategic mission and vision of the parties involved.
  • 416
  • 22 Dec 2023
Topic Review
Salmonella and Salmonellosis in Public Health Implications
Salmonella is one of the most important zoonotic pathogen agents, causing an estimated 93.8 million cases of gastroenteritis worldwide annually, with 155,000 deaths. Efforts to reduce transmission of Salmonella by food and other routes must be implemented on a global scale. Salmonellosis control strategies are based on two fundamental aspects: (a) the reduction of prevalence levels in animals and (b) protection against infection in humans. 
  • 416
  • 23 Feb 2024
Topic Review
COVID-19 and Migrant/Refugee Health
Against a background where the world has witnessed the largest numbers of migrants in history, the advent of the COVID-19 pandemic has stretched the capacities of countries and of aid, health and relief organizations, from global to local levels, to meet the human rights and pressing needs of migrants and refugees for access to health care and to public health measures needed to protect them from the pandemic. 
  • 416
  • 14 Dec 2021
Topic Review
Cas12-Based CRISPR-Dx
Based on the current development in the field of diagnostics, the programmable clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated proteins (Cas) system appears to be a promising technology that can be further explored to create rapid, cost-effective, sensitive, and specific diagnostic tools for both laboratory and point-of-care (POC) testing.
  • 416
  • 20 Dec 2021
Topic Review
Infection Control against Candidaauris in Healthcare Facilities
Candida auris is an emerging multidrug-resistant yeast with high mortality rate, especially in patients with underlying co-morbidities. It has been known to contaminate the environment and colonize human skin for prolonged periods in healthcare settings leading to difficult-to-control outbreaks. However, there is limited literature on the efficacy of different disinfectants/antiseptics, which can effectively decontaminate the environment and decolonize patients to prevent the spread of C. auris.
  • 416
  • 05 Sep 2022
Topic Review
Multimodality Imaging in HIV-Associated Cardiovascular Complications
Human immunodeficiency virus (HIV) infection is a leading cause of mortality and morbidity worldwide. The introduction of antiretroviral therapy (ART) has significantly reduced the risk of developing acquired immune deficiency syndrome and increased life expectancy, approaching that of the general population. However, people living with HIV have a substantially increased risk of cardiovascular diseases despite long-term viral suppression using ART. HIV-associated cardiovascular complications encompass a broad spectrum of diseases that involve the myocardium, pericardium, coronary arteries, valves, and systemic and pulmonary vasculature. Traditional risk stratification tools do not accurately predict cardiovascular risk in this population. Multimodality imaging plays an essential role in the evaluation of various HIV-related cardiovascular complications. 
  • 416
  • 25 May 2023
Topic Review
Generative AI and Large Language Models for Healthcare
Generative artificial intelligence (AI) and large language models (LLMs), exemplified by ChatGPT, are promising for revolutionizing data and information management in healthcare and medicine.
  • 416
  • 01 Nov 2023
Topic Review
Quick-Response-Based Technology in Healthcare and Dentistry
 The present smart card is an advance in patient identification, using a quick-response (QR) code to automatically report or receive certain types of responses from patients or physicians once illuminated by signals from QR readers.
  • 415
  • 30 Nov 2022
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