Kesling Setup Checker

Keslingdiagnostic-setup evidence review, not prove treatment feasibility or predict actual tooth motion. Independently established criterion columns: actual independently assessed setup documented, tooth movement assumptions documented, periodontal/root constraints independently reviewed, qualified clinical interpretation recorded. Unknown/missing evidence retained. Not readiness, eligibility, diagnosis, treatment, safety or compliance approval.

Description

A diagnostic setup records assumptions about proposed tooth movement.

A diagnostic setup records assumptions about proposed tooth movement.^[1]

Its review also requires periodontal, root and clinical constraints. Use this tool to record known present, known missing and unknown checklist evidence.

When to use Kesling Setup Checker

Use this tool to record known present, known missing and unknown checklist evidence. Establish the qualified examination or measurement context, matching instrument/protocol edition, site order and units.

How to use Kesling Setup Checker and understand its results

Establish the qualified examination or measurement context, matching instrument/protocol edition, site order and units.
Enter independentlyWitnessedCriterionFlags, criterionKnownFlags, using the field meanings and rules below, then run the tool.
Read result.witnessedCriteria, result.knownMissingCriteria, result.unknownCriteria. Interpret each field using the units, signs and evidence rules below.
If input validation fails, correct the reported field and run again. Before applying a successful result, check the stated reference scope, units, assumptions and any retained unknown evidence.

Input field	Meaning	Value type	Requirement
independentlyWitnessedCriterionFlags	Independently witnessed criterion flags; binary 0/1 in the order documented below	list of number	Required
criterionKnownFlags	Criterion known flags; 1 means known and 0 means unknown; keep the same item order	list of number	Required

Supply exactly 4 binary criterion flags and matched binary known flags in the listed order. Return witnessed labels where both flags are 1, known missing labels where known=1 and observed=0, and unknown labels wherever known=0, regardless of the placeholder observed flag. No overall diagnosis, pass or approval is inferred.

Zero-based column	Criterion
0	actual independently assessed setup documented
1	tooth movement assumptions documented
2	periodontal/root constraints independently reviewed
3	qualified clinical interpretation recorded

witnessed={label_i:known_i=1 and observed_i=1}; missing={label_i:known_i=1 and observed_i=0}; unknown={label_i:known_i=0}

Apply the field units and exact ordering, boundary and evidence rules above.

Output field	Meaning	Value type
result	Structured result containing the calculation or selected reference fields below	object
result.witnessedCriteria	Criterion labels observed present with known evidence	list of string
result.knownMissingCriteria	Criterion labels known to be absent	list of values
result.unknownCriteria	Criterion labels whose evidence is unknown	list of values

json

{
  "input": {
    "independentlyWitnessedCriterionFlags": [
      1,
      1,
      1,
      1
    ],
    "criterionKnownFlags": [
      1,
      1,
      1,
      1
    ]
  },
  "output": {
    "result": {
      "witnessedCriteria": [
        "actual independently assessed setup documented",
        "tooth movement assumptions documented",
        "periodontal/root constraints independently reviewed",
        "qualified clinical interpretation recorded"
      ],
      "knownMissingCriteria": [],
      "unknownCriteria": []
    }
  }
}

Limitations and assumptions

Feature and criterion flags are independent annotations. Unknown evidence remains unknown; matching rules do not establish a diagnosis, cause, prediction or approval.

Every listed input requires an explicit value. Unexpected fields, incorrect value types, nonfinite numbers and sparse numeric arrays fail validation; tool-specific bounds and alignment rules apply as described above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful calculation that reports a false comparison or retains unknown evidence.

Alternative or Complementary methods

Use Extraction vs Expansion Checker to examine a related aspect: Extraction and expansion decisions depend on measurements, growth, periodontal constraints and patient context.

Use Anchorage Demand Classifier where its separate inputs and scope apply: Orthodontic anchorage demand concerns the intended and reciprocal movement in a treatment plan.

References

Kesling Setup Checker — tool.io

Similar or alternative tools

Extraction vs Expansion Checker
Extraction and expansion decisions depend on measurements, growth, periodontal constraints and patient context.
Anchorage Demand Classifier
Orthodontic anchorage demand concerns the intended and reciprocal movement in a treatment plan.