Gains:
- Ability to use AI as a drafting assistant to generate a draft treatment plan, alternatives, and sequence of steps based on clinical data
- Ability to critically evaluate AI-generated plan options based on indications, contraindications, patient preference, and level of evidence.
- Ability to implement a responsibility framework in which the final diagnosis, indication and treatment decision belongs to the competent physician, and AI only produces a draft
Treatment plan is the most creative and responsible phase of dentistry. You turn the patient's entire clinical picture, priorities, budget and preferences into a road map. AI can speed up the first draft of this map: sort the options, organize the stages, simplify the text to be presented to the patient. However, the limit here is very clear: diagnosis, indication and final treatment decision belong to the competent physician. AI is a draft assistant; It is not a decision maker.
In this unit we will see how to use AI as a “quick drafter” in treatment planning, how to clinically critique and approve the draft, and how to maintain accountability.
What can AI do and not do in your treatment plan?
Can:
- List possible treatment options from the findings given (e.g. implant, bridge, removable denture for a missing tooth).
- Stage sequence outline (infection control first, then restorative, then aesthetic).
- Summarizing the general advantages/disadvantages of each option in plain language.
- Preparing the explanation text to be presented to the patient.
Can't (and shouldn't try):
- Giving an indication without examining the patient.
- Making a definitive decision without radiographic or clinical findings.
- To know exactly the patient-specific contraindications (situations in which a treatment is undesirable).
- To ensure the current level of evidence.
Caution: The AI-generated plan is a “sketch based on general knowledge.” He does not know your patient's bone volume, systemic status, oral hygiene and expectations. Only you add this information.
Secure planning workflow step by step
- Prepare an anonymous clinical summary. Write the findings in a structured format, without patient identification.
- Request option draft from AI. Saying, "Decision making, outline the options and steps."
- Pass it through the indication filter. Consider each option for the patient's actual situation; Eliminate those that do not fit.
- Check for contraindications. Systemic status, medication, bone/tissue status.
- Compare with evidence. Does it align with current guidance and clinical experience?
- Add patient preference. Budget, duration, aesthetic expectation, pain tolerance.
- Create and sign the final plan as the physician. AI output is just the starting point.
Stage
who does
The role of AI
Clinical data collection
physician
None
Option draft
AI + physician
Generates draft
Indication/contraindication
physician
No (can't know)
Evidence check
physician
It can be a reminder
Final decision and approval
physician
None
Mini case 1: Quick sketching options
A 45-year-old, systemically healthy patient with a single missing molar tooth in the lower jaw. The physician gives the anonymous findings to the AI and asks for a draft of options: implant, three-member bridge, removable partial denture. AI lists the general pros/cons of each in plain language. The physician reviews this draft in 2 minutes, eliminates the bridge and removable prosthesis because the patient has sufficient bone volume and implant preference, and recommends the implant. The draft speeds up structuring the patient encounter, but the physician makes the decision.
Mini case 2: Contraindication missed by AI
In a similar case, AI again highlights the implant as the first option. However, this patient is on high doses of bisphosphonates (bone medication associated with the risk of jaw bone healing problems). Since the AI does not know this information, it misses the risk. The physician remembers this critical information from the anamnesis and re-evaluates the implant decision. Lesson: AI's recommendation never covers patient-specific contraindications; The doctor adds this.
Mini case 3: Stage sequence and communication
In a patient with multiple cavities, gingivitis and aesthetic expectations, the physician asks the AI for a logical outline of phases: first pain and infection control, then periodontal (gum) treatment, then restorative, lastly aesthetic. AI translates this sequence into an organized patient text. The physician confirms it medically and spreads the stages over months according to the patient's budget. Result: the patient understands the plan better, compliance with treatment increases.
Copiable templates
Do not include real patient ID.
Role: Treatment plan draft assistant (does not make decisions, does not give indications).Task: Produce possible treatment OPTIONS and a DRAFT of a phase sequence from the following anonymous clinical findings. Write in plain language the general advantages/disadvantages of each option. Add the note "The final decision belongs to the physician." Definitive recommendation: DO NOT IMPose. Findings: [anonymous]
Role: Indication reviewer. Task: Question the following outline of treatment options in the light of the patient's stated systemic condition and clinical findings: what additional information or contraindication control is required for which option? Decision making, generate questions for the physician.Draft + patient information: [anonymous]
Role: Stage plan organizer. Task: Sort the following treatments into logical stages according to clinical priority (emergency/infectious, periodontal, restorative, prosthetic, aesthetic). Write a brief justification for each step. Time and cost estimate FITTING.Treatments: [list]
Role: Patient plan text writer. Task: Explain the treatment plan approved by the physician in a simple and balanced language that the patient can understand. Do not use exaggerated promises, guarantees or intimidation. State the risks in a balanced manner. Approved plan: [write]
Weak prompt / Strong prompt
Weak: "Decide what is the best treatment for this patient."
Why it's weak: Gives decision-making role to AI, skips inspection and contraindication, blurs responsibility.
Strong: "Generate treatment options and phase outline from these anonymous findings. Decision making; mark what clinical/contraindication control is required for each option. I will make the final decision."
Why it's powerful: Reduces AI to draftsman, makes verification points visible, keeps the decision in the physician's hands.
Patient-centered planning: sharing the decision, not the options
A good treatment plan is not only one that is clinically correct, but one that is agreed upon with the patient. This is called “shared decision making”: the physician honestly presents options, risks, and expected outcomes; The patient expresses his/her preference with his/her values, priorities and opportunities; The decision is made together. AI can facilitate this conversation by organizing options and comparisons here, but it is not the tool that will make the decision. Whether the patient wants the "most expensive but best" option or the "economical and adequate" option; how many sessions he has time for; Information such as how high the aesthetic expectation is only emerges through real dialogue.
Use AI as an aid in this process, breaking down each option into a clear comparison chart: advantage, disadvantage, estimated number of sessions (non-made-up, physician-entered), care requirement. This way, the patient sees the options clearly and is truly involved in the decision process. However, the table is a start; The final plan is approved by the physician at the intersection of clinical judgment and patient preference.
Mini case 4: Table leading to consensus
A patient will be offered three options (implant, bridge, removable prosthesis). The physician has the AI pour these options into a simple comparison chart; He enters the cost and duration information himself. When the patient sees the table, he understands the differences that he did not understand before and makes a balanced choice between his budget and his expectations. The decision becomes final with the clinical approval of the physician. Lesson: AI can be a communication tool that sharpens the collaborative decision-making dialogue; The decision itself belongs to the physician and the patient.
Common mistakes
- Presenting the AI draft to the patient as a "definitive plan".
- Assuming that the AI knows patient-specific contraindications.
- Relying on cost/time estimates that AI can come up with.
- Bypassing the indication and evidence check and applying the draft directly.
- The only option is to impose patient preference without incorporating it into the plan.
Tip: When you ask the AI to draft a plan, add "What 5 clinical/contraindication checks should I check before implementing this plan?" at the end of the output. Add the question. This way the draft also generates its own verification list, making it easier to remember a missed check.
Caution: Never trust numerical claims made by AI such as cost, time or success rate; These are often fabrications. Only enter these values as a physician based on your own clinical data and current evidence.
In summary
AI is a powerful drafting assistant in treatment planning: lists options, organizes stages, simplifies patient text. But the diagnosis, indication and final decision belong to the physician. AI cannot examine the patient, cannot know patient-specific contraindications, and cannot guarantee up-to-date evidence. Correct method: anonymous summary → AI draft → indication/contraindication filter → evidence check → patient preference → final plan signed by physician.
Application task
Choose an anonymous case from your own practice. First, write your own treatment plan. Then give the same findings to the AI with the “treatment plan draft assistant” prompt. Compare the two plans: What options did the AI add/omit, what contraindication did it miss? List the differences and evaluate where AI is helpful and inadequate in planning.
checklist
- [ ] I instructed the AI to “make no decision, produce draft.”
- [ ] I evaluated each option in terms of indication.
- [ ] I have manually checked patient-specific contraindications.
- [ ] I compared the manuscript with current evidence and clinical experience.
- [ ] As a physician, I approved the final plan by including patient preference.