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How AI is used in academic publishing of manuscripts?

The main goal of academics is to present their research work in prestigious journals. The process of publishing a paper is a laborious one, and not just competitive. Academic publishers like Elsevier receive about 2.6 million research papers each year. Editors and peer reviewers have to carefully select the most credible research papers for publication.

Manuscript authoring with AI

Manuscript development process is a task that not only includes biomedical statistics and results but also editing, reviewing, and checking content for plagiarism. Although a researcher finds this process lengthy and time-consuming, the effort is worth million-dollar research grants. Most researchers are ESL (English as second language) and need to polish their manuscript for English language errors.

Today, AI tools like Grammarly.com have made polishing of research papers a very simple process. They not only rectify errors related to grammar and punctuation, they also contain sophisticated algorithms to check for terminology in reference to a context. Algorithms are also developed to check for plagiarism of content. These AI tools are software like iThenticate.com.

Manuscript Images with AI

Most biomedical research papers get their scientific integrity from the professional images that they publish. Most images are of microbiology and techniques, such as Western blot. The images are taken from a magnified slide, and this may lead to overlapping of images accidentally. The pictures of these images have to be stored, and their duplication has to be prevented. Careful attention needs to be paid to images as their duplication in papers would get the paper rejected by a journal.

A research paper can contain several sub-images, so researchers now make use of AI to compare all sub-images for authenticity. Duplication of images is avoided with the use of a software that preserves the integrity of images. An automated software named Proofig is an excellent example of AI in manuscript images. This software uses computer vision for scanning a manuscript. Then, all the images are compared within minutes. Any duplication of images is flagged off by this software.

Manuscript review process with AI

A peer reviewer has to carefully parse through the content of the manuscript, identifying the novelty of research and guiding researchers in their work. They also check the accuracy of the results presented in the paper. This is a time-consuming process for many publishers.

ChatGPT is the latest tool of AI and based on the GPT-3 algorithm. It enables a researcher to write a paper efficiently, providing content that is most relevant to the field of study. Now, AI supports the needs of researchers and editors. Scientific research is not completely automated by AI. It needs the efforts of scientists and publishers.

 

 

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How AI has changed the dynamics of healthcare industry?

 

The healthcare industry has undergone a metamorphosis in recent times. The advent of artificial intelligence has dramatically changed predictive diagnosis and provided personalized plans of treatment, which has in turn improved patient outcomes. The medical processes are now channelized in the right direction. However, we have to consider biomedical ethics of AI in healthcare industry.

The delivery of healthcare goods and services, the procedures associated with diagnostics, and tremendous care offered to patients are some of the avenues being revolutionized by the advent of AI. The power of medical data has never been tapped to this extent by any other technology. Today, AI has transformed the way healthcare professionals deal with electronic patient records, diagnostic tools like imaging techniques, and genetic engineering techniques. Although medical data is vast, AI can easily peruse through it at a very rapid speed. The complexity patterns of medical data have never been understood till date.

As AI has transformed the way of data analysis, diagnosis of patients has become very fast and accurate. Algorithms based on machine learning have been developed and trained on large volumes of medical data of patients. Consequently, the diagnosis of illness can happen at an early stage, improving the outcome of treatments. In fact, personalized treatment plans are now possible due to AI. The prognosis of patients is also improved with AI.

Surgery has now become a mechanical procedure; the entry of medical robots has improved the speed at which surgery can be performed with precision. Medical robots are now assisting surgeons in medical operation theatre. Thanks to robots, minimal invasive procedures are now being performed with ease. The chances of complications are minimized and patients are recovering at a faster rate.

AI has changed the way healthcare processes in call centers are carried. Chatbots are AI-driven health assistants in the virtual world. This has now boosted the prospects of telemedicine. Thanks to digitalization of medical records and chatbots, healthcare delivery services have become very accessible and professionals are now moving beyond confined physical clinics.

Healthcare apps are powered by AI and patients can now manage their diseases by knowing more about their illness in real-time. Patient queries are solved by chatbots and appointments to physicians can also be scheduled as per convenience. Chronic healthcare issues like diabetes have self-care management apps.

In the field of research and development, AI is breaking all barriers. Drug discovery was a laborious process in the field of pharmaceuticals and healthcare. Today, AI tools have algorithms to curtail down the lengthy and costly procedure of drug discovery. AI is now predicting the structures of organic molecules, which are being used later as the active ingredient of a drug. Thus, potential candidates are being devised as novel drugs. The interaction of drugs with biological systems is now better understood with AI tools.