Improve clinical care with AI

Improve clinical care with AI

Digitise and analyze all your clinical documentation

Proven Results. Scientifically Validated AI.

Proven Results. Scientifically Validated AI.

Proven Results. Scientifically Validated AI.

Our AI modules have been independently validated for safety and impact.

100%

Hallucination-free note generation

9.1/10

Meaningfulness assessed by independent clinicians

78%

Reduction in documentation time

Reduction in documentation time per doctor

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AI That Adapts to Every Clinical Setting

AI That Adapts to Every Clinical Setting

AI That Adapts to Every Clinical Setting

Our modular AI modules scale across diverse clinical workflows.

Our modular AI modules scale across diverse clinical workflows.

Discharge Summary

Discharge Summary

Flow Cytometry

Flow Cytometry

Cytogenetic Report

Cytogenetic Report

OPD Visit Notes

OPD Visit Notes

DISCHARGE SUMMARY

DISCHARGE SUMMARY

Diagnosis

Diagnosis

Primary Refractory DLBC (Diffuse Large B-Cell Lymphoma)

Primary Refractory DLBC (Diffuse Large B-Cell Lymphoma)

Reason for Admission

Reason for Admission

Re-apheresis + C1D15 Glofitamab

Re-apheresis + C1D15 Glofitamab

Age/Sex:

Age/Sex:

17-year-old Male

17-year-old Male

Comorbidities

Comorbidities

Diabetes Mellitus (Diabetic), Hypertension (HTN)

Diabetes Mellitus (Diabetic), Hypertension (HTN)

Family History (F/H):

Family History (F/H):

Sister had breast carcinoma

Sister had breast carcinoma

Automate Discharge Summaries

Automate Discharge Summaries

Automate Discharge Summaries

Generate comprehensive, accurate discharge summaries in seconds - seamlessly pulling patient details at the click of a button.

Generate comprehensive, accurate discharge summaries in seconds - seamlessly pulling patient details at the click of a button.

Generate comprehensive, accurate discharge summaries in seconds - seamlessly pulling patient details at the click of a button.

Fast-track Clinical Trials

Fast-track Clinical Trials

Capture case record data automatically, refer to protocol guidelines, and reduce compliance errors with real-time alerts

Capture case record data automatically, refer to protocol guidelines, and reduce compliance errors with real-time alerts

Capture case record data automatically, refer to protocol guidelines, and reduce compliance errors with real-time alerts

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Pathology

Pathology

Report

Report

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Progress

Progress

Report

Report

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Oncology

Oncology

Intake Form

Intake Form

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Biopsy

Biopsy

Results

Results

Processing 23/54 documents

Finding investigation results.. Normalising adverse event categories..

Processing 23/54 documents

Finding investigation results.. Normalising adverse event categories..

rules

rules

Hepatic impairment:
No dose adjustment required. Severe hepatic impairment may be associated with decreased serum albumin levels

Hepatic impairment:
No dose adjustment required. Severe hepatic impairment may be associated with decreased serum albumin levels

Go through the patient's past history to fill their Case Record Form

Go through the patient's past history to fill their Case Record Form

Case Report Form

Case Report Form

Allocated Arm

Allocated Arm

Standard of Care

Standard of Care

Patient Complaints

Patient Complaints

23 year old female with T-Cell Lymphoma, on day 1 of trial NT0748675, currently on standard of care

23 year old female with T-Cell Lymphoma, on day 1 of trial NT0748675, currently on standard of care

CTCAE Registry

CTCAE Registry

Adverse event

Adverse event

Diarrhea

Diarrhea

Vomiting

Vomiting

Grade

Grade

2

2

1

1

Save

Save

Transcript

Transcript

History of Presenting Illness


Sharp, stabbing pain in lower back. Difficulty sitting for extended periods. No injury or physical activity that could have caused the

History of Presenting Illness


Sharp, stabbing pain in lower back. Difficulty sitting for extended periods. No injury or physical activity that could have caused the

Clinical Notes

Clinical Notes

Location

Location

Lower back.

Lower back.

Intensity

Intensity

7/10 on a standardized pain scale (0 = no pain, 10 = worst possible pain)

7/10 on a standardized pain scale (0 = no pain, 10 = worst possible pain)

Characteristics

Characteristics

Sharp, stabbing pain.

Sharp, stabbing pain.

Impact

Impact

Difficulty sitting for extended periods.

Difficulty sitting for extended periods.

Onset and Cause

Onset and Cause

No known injury or physical activity contributing to the pain.

No known injury or physical activity contributing to the pain.

Dr. Jane Foster

Dr. Jane Foster

Use a standardized pain scale and document location, intensity, and characteristics.

Use a standardized pain scale and document location, intensity, and characteristics.

Digitise OPD Consultations

Digitise OPD Consultations

Digitise OPD Consultations

Record outpatient consultations hands-free and generate structured notes using templates tailored to your specialty and workflow.

Record outpatient consultations hands-free and generate structured notes using templates tailored to your specialty and workflow.

Record outpatient consultations hands-free and generate structured notes using templates tailored to your specialty and workflow.

Automate Health Registry Updates

Automate Health Registry Updates

Automate Health Registry Updates

Streamline registry management by automatically extracting and updating longitudinal patient data across multiple file types

Streamline registry management by automatically extracting and updating longitudinal patient data across multiple file types

Streamline registry management by automatically extracting and updating longitudinal patient data across multiple file types

What are the most common primary diagnosis sites and histology types?

What are the most common primary diagnosis sites and histology types?

Most common primary diagnosis sites and histology types

Most common primary diagnosis sites and histology types

Primary Diagnosis

Primary Diagnosis

Oral Cavity

Oral Cavity

Lung

Lung

Histology Type

Histology Type

Squamous Cell Carcinoma

Squamous Cell Carcinoma

Adenocarcinoma

Adenocarcinoma

Number of Patients

Number of Patients

145

145

98

98

Foster AI is going through patient files to find the right information

Foster AI is going through patient files to find the right information

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Pathology

Pathology

Report

Report

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Progress

Progress

Report

Report

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Oncology

Oncology

Intake Form

Intake Form

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Radiology

Radiology

Report(PDF)

Report(PDF)

Biopsy

Biopsy

Results

Results

Processing 2,431/2431 documents..

Extracting histology terms... Normalizing diagnosis categories

Analyzing Medical Data

Analyzing Medical Data

I'm scanning through patient files to uncover recurring diagnosis and histology patterns.

I'm scanning through patient files to uncover recurring diagnosis and histology patterns.

Summary Stats

Summary Stats

Total Patients Analyzed: 243

Total Patients Analyzed: 243

Total Diagnosis Types Identified: 18

Total Diagnosis Types Identified: 18

Top Histology: Squamous Cell Carcinoma (145 cases)

Top Histology: Squamous Cell Carcinoma (145 cases)

Average File Count per Patient: 12

Average File Count per Patient: 12

Your Data is Secure

Your Data is Secure

Your Data is Secure

We prioritize the highest standards of data protection and privacy for healthcare organizations

Foster never uses your patient data for model training.

All confidential information remains strictly private and access-controlled.

End-to-end encryption safeguards your data both in transit and at rest.

FINISH YOUR

DOCUMENTATION WHILE

YOU TREAT WITH FOSTER

© 2024 by Foster AI Inc.

FINISH YOUR

DOCUMENTATION WHILE

YOU TREAT WITH FOSTER

© 2024 by Foster AI Inc.

FINISH YOUR

DOCUMENTATION WHILE

YOU TREAT WITH FOSTER

© 2024 by Foster AI Inc.

FINISH YOUR

DOCUMENTATION WHILE

YOU TREAT WITH FOSTER

© 2024 by Foster AI Inc.