Frequently Asked Questions

What is AI Generated Synopsis or Protocol?

As the name itself suggests An AI-Generated Protocol refers to a structured research protocol or synopsis that needs to be submitted to various medical universities before starting research/thesis work. This is authored, drafted, or substantially augmented by large language models (LLMs) rather than being written entirely by human investigators. Instead of manually crafting every section—objectives, methodology, eligibility criteria, statistical analysis plan, and ethical considerations—the investigator provides a high-level prompt or outline, and a premium AI LLM synthesizes the full protocol document. The resulting output can then be reviewed, edited, and validated by the MD,MS,DNB or super specialty resident (Mch,DM) who is submitting synopsis.

Which LLM-AI Software are used for Generating Protocol or synopsis of thesis for MD,MS and DNB

GPT-4 (OpenAI): Combines massive pretraining with RLHF, offering strong chain-of-thought capabilities.
Claude 3 (Anthropic): Known for its safety guardrails and context window ideal for long, multi-section documents.
Gemini (Google DeepMind): Utilizes multimodal embeddings and high-capacity training on scientific literature.
PaLM 2 (Google): Optimized for code and technical writing—well suited to drafting statistical analysis plans and data management tables.
LLaMA 3 (Meta): Open-weight flagship model, fine-tuned in specialized research workflows. Mistral (Mistral AI): Excels in coherent narrative generation and can integrate domain-specific instructions for medical protocols.

What Information Do I need to provide for generating such a protocol?

You will have to fill up the form after you click on Generate Protocol button. After you fill up the form and pay the charges you will get the protocol in your membership account within 24 hours.

Can I Directly Submit it to the institute or university as my Protocol of thesis?

The Answer is categorical ‘NO’. This AI generated protocol will work as the basis for you to write protocol and you can use this as reference point for writing your synopsis. But since AI LLM models are evolving they can make mistakes and these mistakes can be grave. Unless a human has evaluated it scintifically there is always a risk that it may contain mistakes.

What Are Some common Mistakes LLM models can make while writing?

Hallucinations: Making up facts, names, or statistics that aren’t real.
Factual Errors: Presenting incorrect or outdated information as if it’s true.
Misinterpreting Prompts: Taking a user’s question the wrong way and giving an unrelated answer.
Overconfidence: Stating something as certain even when it’s unsure or purely guessed.
Bias and Stereotypes: Reproducing unfair or one-sided views found in its training data.
Ignoring Specific Instructions: Skipping or misunderstanding detailed guidelines the user provided.
Verbose or Repetitive Writing: Using too many words or repeating the same ideas without adding new value.
Lack of Context: Forgetting earlier parts of a conversation or missing important background details.
Poor Logical Flow: Jumping between ideas in a way that doesn’t make sense or doesn’t follow a clear order.
Excessive Jargon: Using complicated technical terms when simpler language would do, making the text hard to read.
Failure to Cite Sources: Presenting claims without pointing to where the information came from (or inventing fake sources).

Can I get Assistance for verifying the facts written in protocol or checking for references?

The whole system is automated so don’t expect a human response. If you need assistance, for that you will have to mail us on email given in contact us section. Such an email will be replied by emails of such service providers. Needless to say further assistance will be between you and the 3rd person (subject expert) and we in no way will be responsible for quality of work done by such persons.

So What is Ideal way of using this AI generated protocol?

See . The protocol will generated by AI will give you all the details you should include in your synopsis. It will immensely help you if you give some time in cross checking the details. you need to just be sure that the protocol doesn’t contain factual errors since LLM models are known to make mistakes. Also you need to use the content for writing in your own words. If You directly try to submit it then the plagiarism checker softwares like turnitin etc can flag it is AI generated text. If you take care of these things this AI Generated protocol will be of immense help to You.

What are the components of AI Generated Protocol

Introduction

Introduction to the Topic
A brief overview of the research subject and its context.

Demographics
Relevant population characteristics associated with the topic.

Prevalence
Current statistical data or frequency of occurrence related to the subject.

Gap in Existing Knowledge
Identification of what is currently unknown or insufficiently studied in this area.

How This Study Intends to Fill the Existing Knowledge Gap
Explanation of how the proposed research will contribute to bridging the gap.

Need/Rationale for the Study
Why this research is necessary at this time and its contextual significance.

Importance of the Study
Potential contributions to science, society, or healthcare.

Current Knowledge and Limitations
A concise review of existing findings and their shortcomings.

Need for the Study
Justification of the study based on public health needs, clinical demand, or research void.

Potential Impact
How the outcomes might influence future research, clinical practice, or policy.

☐ Alignment with National or Global Health Priorities
Indicate if and how this study aligns with WHO, SDGs, or national health policies.

Review of Literature

This section includes relevant studies with their abstracts and focuses on the following:

Historical Background
A look into the origin and early research on the topic.

Current State of Knowledge
Overview of recent developments and established facts.

Key Studies and Findings
Highlighting major studies and their contributions.

Gaps in Existing Literature
Critical analysis of what remains unexplored or inadequately addressed.

Relevance to the Present Study
Connecting existing findings to the current research goal.

Lacunae in Literature
Identifying under-researched areas and justifying their importance in this study.

Materials and Methods

Source of Data
Description of where and how data will be collected.

Study Design
Type of research (e.g., observational, experimental, cross-sectional, cohort).

Study Population
Details about the participants, including demographics and criteria.

Study Period
Timeline for conducting the study.

Sample Size Calculation
Explanation of how the sample size was determined and statistical justifications.

Methodology
Detailed procedural steps, tools, and techniques used in the research.

Inclusion Criteria
Conditions participants must meet to be included in the study.

Exclusion Criteria
Conditions that disqualify participants from the study.

Statistical Analysis
Methods and software used to analyze the data.

Ethical Consideration
Outline of informed consent, participant confidentiality, risk minimization, and ethics committee approval.

Limitation of the Study (if any)

Potential constraints that may affect the study results, such as:

Small sample size
Selection bias
Measurement limitations
Limited generalizability

If the protocol has to be generated by AI, then can’t I generate it on my own?

In theory, yes—you can generate it on your own using AI. But to get a high-quality, accurate protocol, you’d need access to premium versions of multiple advanced AI models like ChatGPT-4 (Pro), Claude, Gemini Advanced, and others. These models are not only costly but also require technical know-how to use them effectively for medical research.For a single protocol, it’s usually not practical or cost-effective for a resident or student to take subscriptions to all these platforms. On the other hand, we invest in these premium AI tools because we generate protocols for a large number of clients. That makes it affordable for us and more convenient for you—you get a professional-quality output without the burden of handling multiple tools or subscriptions yourself.