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A phone camera coach improved fitness and blood pressure in hypertension

In a 62-person Guangzhou trial, 8 weeks of AI pose-guided home exercise added 62.77 m to 6-minute walk distance and lowered systolic pressure more than usual care.

2
Benefit status
Reported
Evidence
Independently studied
Source published
Sources
1 publication

Benefits

Benefit

The app group gained 62.77 meters more in the 6-minute walk test than the control group

Awaiting review

Outcome identifiers

Unresolved

Not reviewedUnresolved

Category

Improved Physical Health

Awaiting review

Status

Reported benefit

Awaiting review

Beneficiary groups

People.

Awaiting review

Beneficiaries

Unresolved

Not reviewedUnresolved

Reach

Unresolved

Not reviewedUnresolved

Distribution and access

Unresolved

Not reviewedUnresolved

Duration

Unresolved

Not reviewedUnresolved

Expected?

Yes

Awaiting review

Costs and harms

Unresolved

Not reviewedUnresolved

AI system

System

Rehabilitation Exercise Prescription app (AI pose recognition built on TensorFlow and OpenPose)

Awaiting review

Model

This is an explicit unresolved assignment: the sources on record do not settle this question.

Not reviewedUnresolved

Release

Unresolved

Not reviewedUnresolved

Provider

Unresolved

Not reviewedUnresolved

Role

Unresolved

Not reviewedUnresolved

Configuration

Unresolved

Not reviewedUnresolved

Inputs and outputs

Unresolved

Not reviewedUnresolved

Autonomy

Unresolved

Not reviewedUnresolved

Workflow

The app pushed an exercise prescription with warm-up, endurance, resistance, balance and flexibility work. The phone camera tracked 17 body points and gave real-time correction. Patients trained 30 to 50 minutes at least three times a week for eight weeks.

Awaiting review

Human oversight

Unresolved

Not reviewedUnresolved

Relation to AI

Patients were randomized to AI-guided home exercise or to conventional offline exercise guidance. The comparison isolates the AI program against usual guidance. It does not separate the pose feedback from remote delivery as such.

Awaiting review

AI contribution

Patients were randomized to AI-guided home exercise or to conventional offline exercise guidance. The comparison isolates the AI program against usual guidance. It does not separate the pose feedback from remote delivery as such.

Awaiting review

Measurement

Studies

Randomized. [1]

Fully reviewed: supporting details for Studies

Review date: 29 October 2026.

Sources: [1]

Study design

Randomized. [1]

Fully reviewed: supporting details for Study design

Review date: 29 October 2026.

Sources: [1]

Measurement

6-minute walk test, cardiopulmonary exercise testing, blood pressure and questionnaires at baseline and 8 weeks. [1]

Fully reviewed: supporting details for Measurement

Review date: 29 October 2026.

Sources: [1]

Setting and sample

62 adults aged 18 to 75 with hypertension, Guangzhou. [1]

Fully reviewed: supporting details for Setting and sample

Review date: 29 October 2026.

Sources: [1]

Measures

Change in 6-minute walk distance; systolic blood pressure. [1]

Fully reviewed: supporting details for Measures

Review date: 29 October 2026.

Sources: [1]

Comparison

Conventional offline exercise guidance. [1]

Fully reviewed: supporting details for Comparison

Review date: 29 October 2026.

Sources: [1]

Results

6MWD +62.77 m (95% CI 26.33-99.22); systolic BP 4.11 mmHg greater reduction (95% CI 0.11-8.28). [1]

Fully reviewed: supporting details for Results

Review date: 29 October 2026.

Sources: [1]

Additional value from AI

Isolated against conventional guidance. [1]

Fully reviewed: supporting details for Additional value from AI

Review date: 29 October 2026.

Sources: [1]

Limitations

Small, open-label, convenience sample, eight weeks. [1]

Fully reviewed: supporting details for Limitations

Review date: 29 October 2026.

Sources: [1]

Denominators

At least three sessions a week for eight weeks. [1]

Fully reviewed: supporting details for Denominators

Review date: 29 October 2026.

Sources: [1]

Materials for replication

CONSORT-eHEALTH checklist and supplementary tables. [1]

Fully reviewed: supporting details for Materials for replication

Review date: 29 October 2026.

Sources: [1]

Money

Kind of value

The kind of monetary value is unclear.

Not reviewedUnresolved

Amount

The monetary value is not established.

Not reviewedUnresolved

Currency and prices

The currency and price basis are unclear.

Not reviewedUnresolved

Period and unit

The period and unit of the monetary estimate are unclear.

Not reviewedUnresolved

Realization

Whether the monetary value was realized is unclear.

Not reviewedUnresolved

Recipients and payers

The recipients and payers are unclear.

Not reviewedUnresolved

Gross or net

Whether the monetary figure includes costs is unclear.

Not reviewedUnresolved

Included costs

The costs included in the estimate are unclear.

Not reviewedUnresolved

Comparison

The financial comparison is not established.

Not reviewedUnresolved

Method

The method used to calculate monetary value is unclear.

Not reviewedUnresolved

Return and payback

The return on investment or payback period is not established.

Not reviewedUnresolved

People and places

Participants

Developer: RaphAI Health Technologies Limited. Operator: Zhujiang Hospital, Southern Medical University, and Guangdong Provincial People's Hospital.

Awaiting review

Jurisdictions

Benefit: Guangzhou, Guangdong, China. Developer: China. Operator: China.

Awaiting review

Ownership and control

Unresolved

Not reviewedUnresolved

Dependencies

Unresolved

Not reviewedUnresolved

Cross-border connections

Unresolved

Not reviewedUnresolved

Geopolitical implications

The geopolitical implications are unclear.

Not reviewedUnresolved

Follow-up

Conditions for replication

Patients have stable hypertension and are cleared for exercise. Patients have a smartphone and keep training at home.

Awaiting review

Replication attempts

Unresolved

Not reviewedUnresolved

Later findings

Unresolved

Not reviewedUnresolved

Availability

Unresolved

Not reviewedUnresolved

Institutional decision

A relevant institutional decision has not been established.

Not reviewedUnresolved

Grounds

The grounds for an institutional decision are unclear.

Not reviewedUnresolved

Action and result

The result of an institutional decision is not established.

Not reviewedUnresolved

Success criterion

The criterion for a successful institutional decision is unclear.

Not reviewedUnresolved

Evidence

Source numbers

AIBD-0641-source-0001

Awaiting review

Citations

Numbered references below.

Awaiting review

Language

Unresolved

Not reviewedUnresolved

Source relationships

Independent

Awaiting review

Original evidence

Unresolved

Not reviewedUnresolved

Access and versions

Unresolved

Not reviewedUnresolved

Supported findings

Unresolved

Not reviewedUnresolved

Evidence strength

Independently studied. Sources: one independent peer-reviewed study. The cited evidence includes no finding by a regulator or court. [1]

Fully reviewed: supporting details for Evidence strength

Review date: 29 October 2026.

Sources: [1]

Missing evidence

Unresolved

Not reviewedUnresolved

Grades

Assessed benefits

People.

Awaiting review

Depth

People: 2.

Awaiting review

Reasons

People: Patients in the app group walked 62.77 meters farther in 6 minutes and lowered systolic pressure by 4.11 mmHg more than controls.

Awaiting review

Observed or intended

Unresolved

Not reviewedUnresolved

Rubric

Unresolved

Not reviewedUnresolved

Assessor and date

Unresolved

Not reviewedUnresolved

Alternative assessments

Unresolved

Not reviewedUnresolved

Fill

Independently studied

Awaiting review

Entry details

Kind

The case describes an evaluation or a study. A randomized controlled trial. [1]

Fully reviewed: supporting details for Kind

Review date: 29 October 2026.

Sources: [1]

Field

Healthcare.

Awaiting review

Purpose

The app was built to guide and correct home rehabilitation exercise. The gains in fitness and blood pressure follow from that purpose.

Awaiting review

Dates

Source published: 13 January 2026. Updated: 29 October 2026.

Awaiting review

Stage

The system was used in a pilot. A two-hospital randomized trial of a commercial app. [1]

Fully reviewed: supporting details for Stage

Review date: 29 October 2026.

Sources: [1]

Version

SHA-256: 8063804e1f24…

Awaiting review: supporting details for Version

SHA-256 of the public case, its assessments, and its displayed answers and notes, excluding its own identifier and the derived coverage summary.

References

Other identifiers

Unresolved

Not reviewedUnresolved

Category mappings

Unresolved

Not reviewedUnresolved

Citable summary

Unresolved

Not reviewedUnresolved

Revisions

1 revision. Latest: 29 October 2026.

Awaiting review

Sources

  1. Peer-reviewed study Independent author

    Yao Q, Qiu B, He L, et al. Effects of Artificial Intelligence Recognition-Based Telerehabilitation on Exercise Capacity in Patients With Hypertension: Randomized Controlled Trial. Journal of Medical Internet Research 2026;28:e81400.

Cite this case

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Version 8063804e1f24, archived in the edition of 29 October 2026

Benefit marks

Depth

The number and color show the depth of a benefit.

  1. Depth 1. A convenience, or time or money saved.
  2. Depth 2. A measurable improvement in a result or ability.
  3. Depth 3. A lasting change, an ability restored, or a risk removed.
  4. Depth 4. A serious harm averted or a serious condition resolved in time.
  5. Depth 5. A life or livelihood preserved, or a change documented across a population.

Beneficiary

  • Circle: a person
  • Square: an organization
  • Triangle: society

Evidence

  • Solid. A court or regulator found a benefit, or researchers independently studied it.

  • Hatched. Independent reporting.

  • Outline. Claimed by the parties. Only the people or organizations involved, or sources whose independence has not been assessed, support the benefit.

The fill changes with the evidence. The depth color stays the same.

How benefits are assessed